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Venues (Conferences, Journals, ...)
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GrowBag graphs for keyword ? (Num. hits/coverage)
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The graphs summarize 411 occurrences of 202 keywords
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Results
Found 1704 publication records. Showing 1704 according to the selection in the facets
Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
14 | Alexey A. Kolchev, Dmitry V. Pasynkov, Ivan A. Egoshin, Ivan V. Kliouchkin, Olga O. Pasynkova, Dmitrii Tumakov |
YOLOv4-Based CNN Model versus Nested Contours Algorithm in the Suspicious Lesion Detection on the Mammography Image: A Direct Comparison in the Real Clinical Settings. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Imaging ![In: J. Imaging 8(4), pp. 88, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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14 | Salam Dhou, Entesar Dalah, Reda AlGhafeer, Aisha Hamidu, Abdulmunhem Obaideen |
Regression Analysis between the Different Breast Dose Quantities Reported in Digital Mammography and Patient Age, Breast Thickness, and Acquisition Parameters. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Imaging ![In: J. Imaging 8(8), pp. 211, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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14 | Rui Hou 0002, Yifan Peng, Lars J. Grimm, Yinhao Ren, Maciej A. Mazurowski, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo |
Anomaly Detection of Calcifications in Mammography Based on 11, 000 Negative Cases. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Biomed. Eng. ![In: IEEE Trans. Biomed. Eng. 69(5), pp. 1639-1650, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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14 | William C. Walton, Seung-Jun Kim 0002, Lisa A. Mullen |
Automated Registration for Dual-View X-Ray Mammography Using Convolutional Neural Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Biomed. Eng. ![In: IEEE Trans. Biomed. Eng. 69(11), pp. 3538-3550, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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14 | Kuen-Jang Tsai, Mei-Chun Chou, Hao-Ming Li 0001, Shin-Tso Liu, Jung-Hsiu Hsu, Wei-Cheng Yeh, Chao-Ming Hung, Cheng-Yu Yeh, Shaw-Hwa Hwang |
A High-Performance Deep Neural Network Model for BI-RADS Classification of Screening Mammography. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Sensors ![In: Sensors 22(3), pp. 1160, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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14 | Maha M. Alshammari, Afnan Almuhanna, Jamal Alhiyafi |
Mammography Image-Based Diagnosis of Breast Cancer Using Machine Learning: A Pilot Study. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Sensors ![In: Sensors 22(1), pp. 203, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
14 | Narbota Amanova, Jörg Martin, Clemens Elster |
Explainability for deep learning in mammography image quality assessment. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Mach. Learn. Sci. Technol. ![In: Mach. Learn. Sci. Technol. 3(2), pp. 25015, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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14 | Shuai Ge, Yixing Yu, Dong Jia, Yang Ling |
Application of mammography-based radiomics signature for preoperative prediction of triple-negative breast cancer. ![Search on Bibsonomy](Pics/bibsonomy.png) |
BMC Medical Imaging ![In: BMC Medical Imaging 22(1), pp. 166, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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14 | Ronglin Gong, Shihui Ying, Jun Shi 0004 |
Task-Driven Self-Supervised BI-Channel Networks Learning for Diagnosis of Breast Cancers with Mammography. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICIP ![In: 2022 IEEE International Conference on Image Processing, ICIP 2022, Bordeaux, France, 16-19 October 2022., pp. 551-555, 2022, IEEE, 978-1-6654-9621-6. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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14 | Guillaume Pelluet, Mira Rizkallah, Mickael Tardy, Oscar Acosta, Diana Mateus |
Multi-scale Graph Neural Networks for Mammography Classification and Abnormality Detection. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MIUA ![In: Medical Image Understanding and Analysis - 26th Annual Conference, MIUA 2022, Cambridge, UK, July 27-29, 2022, Proceedings, pp. 636-650, 2022, Springer, 978-3-031-12052-7. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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14 | Tatsuaki Kobayashi, Takafumi Haraguchi, Tomoharu Nagao |
Classifying the Presence or Absence of Calcifications on Mammography using the EfficientNet: A Feasibility Study. ![Search on Bibsonomy](Pics/bibsonomy.png) |
LifeTech ![In: 4th IEEE Global Conference on Life Sciences and Technologies, LifeTech 2022, Osaka, Japan, March 7-9, 2022, pp. 596-599, 2022, IEEE, 978-1-6654-1904-8. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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14 | Joana Cristo Santos, Pedro Henriques Abreu, Miriam Seoane Santos |
The identification of cancer lesions in mammography images with missing pixels: analysis of morphology. ![Search on Bibsonomy](Pics/bibsonomy.png) |
DSAA ![In: 9th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2022, Shenzhen, China, October 13-16, 2022, pp. 1-8, 2022, IEEE, 978-1-6654-7330-9. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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14 | Sarah D. Verboom, Marco Caballo, Mireille J. M. Broeders, Jonas Teuwen, Ioannis Sechopoulos |
Deep learning-based breast tissue segmentation in digital mammography: generalization across views and vendors. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Medical Imaging: Image Processing ![In: Medical Imaging 2022: Image Processing, San Diego, CA, USA, February 20-24, 2022 / Online, March 21-27, 2022, 2022, SPIE, 9781510649392. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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14 | Yue Li, Zilong He, Xiangyuan Ma, Weixiong Zeng, Jialing Liu, Weimin Xu, Zeyuan Xu, Sina Wang, Chanjuan Wen, Hui Zeng, Jiefang Wu, Weiguo Chen, Yao Lu 0007 |
Computer-aided detection for architectural distortion: a comparison of digital breast tomosynthesis and digital mammography. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Medical Imaging: Computer-Aided Diagnosis ![In: Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, CA, USA, February 20-24, 2022 / online, March 21-27, 2022, 2022, SPIE, 9781510649415. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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14 | Jun Luo 0010, Dooman Arefan, Margarita L. Zuley, Jules H. Sumkin, Shandong Wu |
Deep curriculum learning in task space for multi-class based mammography diagnosis. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Medical Imaging: Computer-Aided Diagnosis ![In: Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, CA, USA, February 20-24, 2022 / online, March 21-27, 2022, 2022, SPIE, 9781510649415. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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14 | Cecilia Gabriela Rodríguez Flores, Jesús Carlos Pedraza Ortega, Luis Antonio Salazar-Licea, Marco Antonio Aceves-Fernández, Marzela Sánchez Osti |
A survey of approaches in Deep Learning techniques for the detection and classification of mammography abnormalities. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CCE ![In: 19th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2022, Mexico City, Mexico, November 9-11, 2022, pp. 1-6, 2022, IEEE, 978-1-6654-5508-4. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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14 | Fredrik A. Dahl, Marit Holden, Olav Brautaset, Line Eikvil |
A mammography classification model trained from image labels only. ![Search on Bibsonomy](Pics/bibsonomy.png) |
NLDL ![In: Proceedings of the 2022 Northern Lights Deep Learning Workshop, NLDL 2022, virtual, January 10-12, 2022, 2022, Septentrio Academic Publishing. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
14 | Fatima Ghazi, Fouad Ayoub, Aziza Benkuider, Mohamed Chergui, Khalil Ibrahimi |
Fractal analysis segmentation of medical images: Application to breast cancer mammography image. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CommNet ![In: 5th International Conference on Advanced Communication Technologies and Networking, CommNet 2022, Marrakech, Morocco, December 12-14, 2022, pp. 1-10, 2022, IEEE, 978-1-6654-5054-6. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
14 | Raul Ferrete Ribeiro, João Gomes Fonseca, Helena R. Torres, Bruno Oliveira 0002, Estela Vilhena, Pedro Morais, João L. Vilaça |
Deep learning methods for lesion detection on mammography images: a comparative analysis. ![Search on Bibsonomy](Pics/bibsonomy.png) |
EMBC ![In: 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2022, Glasgow, Scotland, United Kingdom, July 11-15, 2022, pp. 3526-3529, 2022, IEEE, 978-1-7281-2782-8. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
14 | Alaa Mohamed, Sherihan Fakhry, Tamer A. Basha |
Bilateral Analysis Boosts the Performance of Mammography-based Deep Learning Models in Breast Cancer Risk Prediction. ![Search on Bibsonomy](Pics/bibsonomy.png) |
EMBC ![In: 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2022, Glasgow, Scotland, United Kingdom, July 11-15, 2022, pp. 1440-1443, 2022, IEEE, 978-1-7281-2782-8. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
14 | Cristiana Moroz-Dubenco, Adél Bajcsi, Anca Andreica, Camelia Chira |
An Unsupervised Threshold-based GrowCut Algorithm for Mammography Lesion Detection. ![Search on Bibsonomy](Pics/bibsonomy.png) |
KES ![In: Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, Verona, Italy and Virtual Event, 7-9 September 2022., pp. 2096-2105, 2022, Elsevier. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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14 | Kosmia Loizidou, Galateia Skouroumouni, Gabriella Savvidou, Anastasia Constantinidou, Christos Nikolaou, Costas Pitris |
Benign and Malignant Breast Mass Detection and Classification in Digital Mammography: The Effect of Subtracting Temporally Consecutive Mammograms. ![Search on Bibsonomy](Pics/bibsonomy.png) |
BHI ![In: IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2022, Ioannina, Greece, September 27-30, 2022, pp. 1-4, 2022, IEEE, 978-1-6654-8791-7. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
14 | Conrad Testagrose, Vikash Gupta, Barbaros S. Erdal, Richard D. White, Robert W. Maxwell, Xudong Liu, Indika Kahanda, Sherif Elfayoumy, William Klostermeyer, Mutlu Demirer |
Impact of Concatenation of Digital Craniocaudal Mammography Images on a Deep-Learning Breast-Density Classifier Using Inception-V3 and ViT. ![Search on Bibsonomy](Pics/bibsonomy.png) |
BIBM ![In: IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022, Las Vegas, NV, USA, December 6-8, 2022, pp. 3399-3406, 2022, IEEE, 978-1-6654-6819-0. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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14 | Marc Dietrichstein, David Major, Martin Trapp 0001, Maria Wimmer 0002, Dimitrios Lenis, Philip Winter, Astrid Berg, Theresa Neubauer, Katja Bühler |
Anomaly Detection Using Generative Models and Sum-Product Networks in Mammography Scans. ![Search on Bibsonomy](Pics/bibsonomy.png) |
DGM4MICCAI@MICCAI ![In: Deep Generative Models - Second MICCAI Workshop, DGM4MICCAI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings, pp. 77-86, 2022, Springer, 978-3-031-18575-5. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
14 | Kihyun You, Suho Lee, Kyuhee Jo, Eunkyung Park, Thijs Kooi, Hyeonseob Nam |
Intra-class Contrastive Learning Improves Computer Aided Diagnosis of Breast Cancer in Mammography. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MICCAI (3) ![In: Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part III, pp. 55-64, 2022, Springer, 978-3-031-16436-1. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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14 | Blanca Zufiria, Karen López-Linares, María Jesús García González, Kristin May Rebescher, Iván Lalaguna, Esther Albertín, Maria B. Cimadevila, Javier Garcia, María J. Ledesma-Carbayo, Iván Macía |
Analysis of Potential Biases on Mammography Datasets for Deep Learning Model Development. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AMAI@MICCAI ![In: Applications of Medical Artificial Intelligence - First International Workshop, AMAI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings, pp. 59-67, 2022, Springer, 978-3-031-17720-0. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
14 | Qingxia Wu, Hongna Tan, Yaping Wu, Pei Dong, Jifei Che, Zheren Li, Chenjin Lei, Dinggang Shen, Zhong Xue, Meiyun Wang |
Whole Mammography Diagnosis via Multi-instance Supervised Discriminative Localization and Classification. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLMI@MICCAI ![In: Machine Learning in Medical Imaging - 13th International Workshop, MLMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings, pp. 131-139, 2022, Springer, 978-3-031-21013-6. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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14 | Zhenjie Cao, Xiaoyun Zhou, Yuxing Tang, Mei Han, Jing Xiao 0006, Jie Ma, Peng Chang 0002 |
Asymmetry and Architectural Distortion Detection with Limited Mammography Data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MILLanD@MICCAI ![In: Medical Image Learning with Limited and Noisy Data - First International Workshop, MILLanD 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings, pp. 163-173, 2022, Springer, 978-3-031-16759-1. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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14 | Nada M. Hassan, Safwat Hamad, Khaled Mahar |
A Deep Learning Model for Mammography Mass Detection Using Mosaic and Reconstructed Multichannel Images. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICCSA (1) ![In: Computational Science and Its Applications - ICCSA 2022 - 22nd International Conference, Malaga, Spain, July 4-7, 2022, Proceedings, Part I, pp. 544-559, 2022, Springer, 978-3-031-10521-0. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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14 | Kaier Wang, Melissa L. Hill, Seymour Knowles-Barley, Aristarkh Tikhonov, Lester Litchfield, James Christopher Bare |
Improving Segmentation of Breast Arterial Calcifications from Digital Mammography: Good Annotation is All You Need. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ACCV (Workshops) ![In: Computer Vision - ACCV 2022 Workshops - 16th Asian Conference on Computer Vision, Macao, China, December 4-8, 2022, Revised Selected Papers, pp. 134-150, 2022, Springer, 978-3-031-27065-9. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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14 | Ricardo Javier Fuentes-Fino, Saúl Calderón Ramírez, Enrique Domínguez, Ezequiel López-Rubio, Marco A. Hernandez-Vasquez, Miguel A. Molina-Cabello |
Feature Density as an Uncertainty Estimator Method in the Binary Classification Mammography Images Task for a Supervised Deep Learning Model. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IWBBIO (2) ![In: Bioinformatics and Biomedical Engineering - 9th International Work-Conference, IWBBIO 2022, Maspalomas, Gran Canaria, Spain, June 27-30, 2022, Proceedings, Part II, pp. 375-388, 2022, Springer, 978-3-031-07801-9. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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14 | Alina Jade Barnett, Vaibhav Sharma, Neel Gajjar, Jerry Fang, Fides Regina Schwartz, Chaofan Chen, Joseph Y. Lo, Cynthia Rudin |
Interpretable deep learning models for better clinician-AI communication in clinical mammography. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Medical Imaging: Image Perception, Observer Performance, and Technology Assessment ![In: Medical Imaging 2022: Image Perception, Observer Performance, and Technology Assessment, San Diego, CA, USA, February 20-24, 2022 / Online, March 21-27, 2022, 2022, SPIE, 9781510649453. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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14 | Seyedehnafiseh Mirniaharikandehei, Alan B. Hollingsworth, Meredith A. Jones, Hong Liu 0003, Yuchen Qiu, Bin Zheng 0001 |
Assessment of a new CAD-generated imaging marker to predict risk of having mammography-occult tumors. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Medical Imaging: Image Perception, Observer Performance, and Technology Assessment ![In: Medical Imaging 2022: Image Perception, Observer Performance, and Technology Assessment, San Diego, CA, USA, February 20-24, 2022 / Online, March 21-27, 2022, 2022, SPIE, 9781510649453. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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14 | Mario Sansone, Alfonso Maria Ponsiglione, Francesca Angelone, Francesco Amato 0001, Roberto Grassi |
Effect of X-ray scatter correction on the estimation of attenuation coefficient in mammography: a simulation study. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MetroXRAINE ![In: IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering, MetroXRAINE 2022, Rome, Italy, October 26-28, 2022, pp. 323-328, 2022, IEEE, 978-1-6654-8574-6. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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14 | Yi-Chong Zeng, Yu-Hao Chen |
Skinfold Recognition for Positioning Quality Evaluation on Mammography. ![Search on Bibsonomy](Pics/bibsonomy.png) |
GCCE ![In: 11th IEEE Global Conference on Consumer Electronics, GCCE 2022, Osaka, Japan, October 18-21, 2022, pp. 862-864, 2022, IEEE, 978-1-6654-9232-4. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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14 | Ramazan Ozgur Dogan, Hayati Ture, Temel Kayikçioglu |
Segmentation of Pectoral Muscle Region in MLO Mammography Images by Backboned U-Net. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SIU ![In: 30th Signal Processing and Communications Applications Conference, SIU 2022, Safranbolu, Turkey, May 15-18, 2022, pp. 1-4, 2022, IEEE, 978-1-6654-5092-8. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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14 | Andreu Badal, Diksha Sharma, Christian G. Graff, Rongping Zeng, Aldo Badano |
Mammography and breast tomosynthesis simulator for virtual clinical trials. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Comput. Phys. Commun. ![In: Comput. Phys. Commun. 261, pp. 107779, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
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14 | Amani Tariq Jamal, Anis Ben Ishak, Sayed Abdel-Khalek |
Tumor edge detection in mammography images using quantum and machine learning approaches. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Neural Comput. Appl. ![In: Neural Comput. Appl. 33(13), pp. 7773-7784, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
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14 | Mostafa Boroumandzadeh, Elham Parvinnia |
Automated classification of BI-RADS in textual mammography reports. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Turkish J. Electr. Eng. Comput. Sci. ![In: Turkish J. Electr. Eng. Comput. Sci. 29(2), pp. 632-647, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
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14 | Shankar Thawkar, Law Kumar Singh, Munish Khanna |
Multi-objective techniques for feature selection and classification in digital mammography. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Intell. Decis. Technol. ![In: Intell. Decis. Technol. 15(1), pp. 115-125, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
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14 | Aditya Khamparia, Subrato Bharati, Prajoy Podder, Deepak Gupta 0002, Ashish Khanna, Thai Kim Phung, Dang N. H. Thanh |
Diagnosis of breast cancer based on modern mammography using hybrid transfer learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Multidimens. Syst. Signal Process. ![In: Multidimens. Syst. Signal Process. 32(2), pp. 747-765, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
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14 | Shankar Thawkar |
A hybrid model using teaching-learning-based optimization and Salp swarm algorithm for feature selection and classification in digital mammography. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Ambient Intell. Humaniz. Comput. ![In: J. Ambient Intell. Humaniz. Comput. 12(9), pp. 8793-8808, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
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14 | Rosario Lissiet Romero Coripuna, Delia Irazú Hernández Farías, Blanca Murillo-Ortiz, Luis Carlos Padierna, Teodoro Córdova-Fraga |
Machine Learning for the Analysis of Conductivity From Mono Frequency Electrical Impedance Mammography as a Breast Cancer Risk Factor. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Access ![In: IEEE Access 9, pp. 152397-152407, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
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14 | Swarup Kr Ghosh, Biswajit Biswas, Anupam Ghosh |
A novel stacked sparse denoising autoencoder for mammography restoration to visual interpretation of breast lesion. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Evol. Intell. ![In: Evol. Intell. 14(1), pp. 133-149, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
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14 | Smita Khairnar, Sudeep D. Thepade, Shilpa Gite |
Effect of image binarization thresholds on breast cancer identification in mammography images using OTSU, Niblack, Burnsen, Thepade's SBTC. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Intell. Syst. Appl. ![In: Intell. Syst. Appl. 10-11, pp. 200046, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
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14 | Ilhame Ait Lbachir, Imane Daoudi, Saadia Tallal |
Automatic computer-aided diagnosis system for mass detection and classification in mammography. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Multim. Tools Appl. ![In: Multim. Tools Appl. 80(6), pp. 9493-9525, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
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14 | Marzieh Esmaeili, Seyed Mohammad Ayyoubzadeh, Zohreh Javanmard, Sharareh R. Niakan Kalhori |
A systematic review of decision aids for mammography screening: Focus on outcomes and characteristics. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Int. J. Medical Informatics ![In: Int. J. Medical Informatics 149, pp. 104406, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
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14 | Raluca-Elena Nica, Mircea-Sebastian Serbanescu, Lucian-Mihai Florescu, Georgiana-Cristiana Camen, Costin Teodor Streba, Ioana-Andreea Gheonea |
Deep Learning: a Promising Method for Histological Class Prediction of Breast Tumors in Mammography. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Digit. Imaging ![In: J. Digit. Imaging 34(5), pp. 1190-1198, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
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14 | Osmando Pereira Junior, Helder Cesar Rodigues de Oliveira, Carolina Toledo Ferraz, José Hiroki Saito, Marcelo Andrade da Costa Vieira, Adilson Gonzaga |
A Novel Fusion-Based Texture Descriptor to Improve the Detection of Architectural Distortion in Digital Mammography. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Digit. Imaging ![In: J. Digit. Imaging 34(1), pp. 36-52, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
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14 | Paul H. Yi, Dhananjay Singh 0002, Susan C. Harvey, Gregory D. Hager, Lisa A. Mullen |
DeepCAT: Deep Computer-Aided Triage of Screening Mammography. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Digit. Imaging ![In: J. Digit. Imaging 34(1), pp. 27-35, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
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14 | Alina Jade Barnett, Fides Regina Schwartz, Chaofan Tao, Chaofan Chen, Yinhao Ren, Joseph Y. Lo, Cynthia Rudin |
A case-based interpretable deep learning model for classification of mass lesions in digital mammography. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Nat. Mach. Intell. ![In: Nat. Mach. Intell. 3(12), pp. 1061-1070, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
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14 | Ronglin Gong, Zhiyang Lu, Jun Shi 0004 |
Task-driven Self-supervised Bi-channel Networks Learning for Diagnosis of Breast Cancers with Mammography. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2101.06228, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
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14 | Kangning Liu, Yiqiu Shen, Nan Wu, Jakub Chledowski, Carlos Fernandez-Granda, Krzysztof J. Geras |
Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2106.07049, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
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14 | Benjamin Stadnick, Jan Witowski, Vishwaesh Rajiv, Jakub Chledowski, Farah E. Shamout, Kyunghyun Cho, Krzysztof J. Geras |
Meta-repository of screening mammography classifiers. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2108.04800, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
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14 | Jun Luo 0010, Dooman Arefan, Margarita L. Zuley, Jules H. Sumkin, Shandong Wu |
Deep Curriculum Learning in Task Space for Multi-Class Based Mammography Diagnosis. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2110.11320, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
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14 | Alina Jade Barnett, Fides Regina Schwartz, Chaofan Tao, Chaofan Chen, Yinhao Ren, Joseph Y. Lo, Cynthia Rudin |
IAIA-BL: A Case-based Interpretable Deep Learning Model for Classification of Mass Lesions in Digital Mammography. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2103.12308, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
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14 | Zheren Li, Zhiming Cui, Sheng Wang, Yuji Qi, Xi Ouyang, Qitian Chen, Yuezhi Yang, Zhong Xue, Dinggang Shen, Jie-Zhi Cheng |
Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2111.10827, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
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14 | Daniel G. P. Petrini, Carlos Shimizu, Rosimeire A. Roela, Gabriel Vansuita Valente, Maria Aparecida Azevedo Koike Folgueira, Hae Yong Kim |
Breast Cancer Diagnosis in Two-View Mammography Using End-to-End Trained EfficientNet-Based Convolutional Network. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2110.01606, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
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14 | Charles Lu 0001, Andréanne Lemay, Katharina Hoebel, Jayashree Kalpathy-Cramer |
Evaluating subgroup disparity using epistemic uncertainty in mammography. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2107.02716, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
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14 | Hongming Shan, Rodrigo de Barros Vimieiro, Lucas Rodrigues Borges, Marcelo Andrade da Costa Vieira, Ge Wang 0001 |
Impact of loss functions on the performance of a deep neural network designed to restore low-dose digital mammography. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2111.06890, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
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14 | Maria Wimmer 0002, Gert Sluiter, David Major, Dimitrios Lenis, Astrid Berg, Theresa Neubauer, Katja Bühler |
Multi-task fusion for improving mammography screening data classification. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2112.01320, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
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14 | Jingqi Song, Yuanjie Zheng, Muhammad Zakir Ullah, Junxia Wang, Yanyun Jiang, Chenxi Xu, Zhenxing Zou, Guocheng Ding |
Multiview multimodal network for breast cancer diagnosis in contrast-enhanced spectral mammography images. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Int. J. Comput. Assist. Radiol. Surg. ![In: Int. J. Comput. Assist. Radiol. Surg. 16(6), pp. 979-988, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
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14 | Youcef Gherghout, Yamina Tlili, Labiba Souici |
Classification of breast mass in mammography using anisotropic diffusion filter by selecting and aggregating morphological and textural features. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Evol. Syst. ![In: Evol. Syst. 12(2), pp. 273-302, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
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14 | Leila Abdelrahman, Manal Al Ghamdi, Fernando Collado-Mesa, Mohamed Abdel-Mottaleb |
Convolutional neural networks for breast cancer detection in mammography: A survey. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Comput. Biol. Medicine ![In: Comput. Biol. Medicine 131, pp. 104248, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
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14 | Naveed Chouhan, Asifullah Khan, Jehan Zeb Shah, Mazhar Hussnain, Muhammad Waleed Khan |
Deep convolutional neural network and emotional learning based breast cancer detection using digital mammography. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Comput. Biol. Medicine ![In: Comput. Biol. Medicine 132, pp. 104318, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
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14 | Linjing Wang, Qiang He, Xuetao Wang, Ting Song, Xin Li, Shuxu Zhang, Genggeng Qin, Weiguo Chen, Linghong Zhou, Xin Zhen |
Multi-criterion decision making-based multi-channel hierarchical fusion of digital breast tomosynthesis and digital mammography for breast mass discrimination. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Knowl. Based Syst. ![In: Knowl. Based Syst. 228, pp. 107303, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
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14 | Mie Ishii, Mai Nakamura, Rie Ishii, Keiichi Shida, Toshikazu Hatada, Noriko Murakami, Megumi Maeda, Rumi Okamoto, Sae Shinohara, Fujio Araki, Yoshiharu Higashida |
Effect of Compression Force and Target or Target/Filter Combination on Mean Glandular Dose for Japanese Women in Full-Field Digital Mammography System. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Medical Imaging Health Informatics ![In: J. Medical Imaging Health Informatics 11(10), pp. 2695-2700, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
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14 | Giovanna Romanucci, Lisa Zantedeschi, Anna Ventriglia, Sara Mercogliano, Maria Vittoria Bisighin, Loredana Cugola, Paola Bricolo, Rossella Rella, Marta Mandarà, Chiara Benassuti, Andrea Caneva, Francesca Fornasa |
Lobular Breast Cancer Conspicuity on Digital Breast Tomosynthesis Compared to Synthesized 2D Mammography: A Multireader Study. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Imaging ![In: J. Imaging 7(9), pp. 185, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
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14 | João Mendes, Nuno Matela |
Breast Cancer Risk Assessment: A Review on Mammography-Based Approaches. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Imaging ![In: J. Imaging 7(6), pp. 98, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
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14 | Luís Viegas, Inês Domingues, Mateus Mendes |
Study on Data Partition for Delimitation of Masses in Mammography. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Imaging ![In: J. Imaging 7(9), pp. 174, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
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14 | Ulzee An, Ankit Bhardwaj, Khader Shameer, Lakshminarayanan Subramanian |
High Precision Mammography Lesion Identification From Imprecise Medical Annotations. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Frontiers Big Data ![In: Frontiers Big Data 4, pp. 742779, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
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14 | Lilei Sun, Huijie Sun, Junqian Wang, Shuai Wu, Yong Zhao, Yong Xu |
Breast Mass Detection in Mammography Based on Image Template Matching and CNN. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Sensors ![In: Sensors 21(8), pp. 2855, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
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14 | Rebecca Sawyer Lee, Jared A. Dunnmon, Ann He, Siyi Tang, Christopher Ré, Daniel L. Rubin |
Comparison of segmentation-free and segmentation-dependent computer-aided diagnosis of breast masses on a public mammography dataset. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Biomed. Informatics ![In: J. Biomed. Informatics 113, pp. 103656, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
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14 | Haichao Cao, Shiliang Pu, Wenming Tan, Junyan Tong |
Breast mass detection in digital mammography based on anchor-free architecture. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Comput. Methods Programs Biomed. ![In: Comput. Methods Programs Biomed. 205, pp. 106033, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
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14 | Angie Hernández, David A. Miranda, Said Pertuz |
Algorithms and methods for computerized analysis of mammography images in breast cancer risk assessment. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Comput. Methods Programs Biomed. ![In: Comput. Methods Programs Biomed. 212, pp. 106443, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
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14 | Frances Ryan, Karen López-Linares Román, Blanca Zufiria Gerbolés, Kristin May Rebescher, Maialen Stephens Txurio, Rodrigo Cilla Ugarte, María Jesús García González, Iván Macía Oliver |
Unsupervised domain adaptation for the segmentation of breast tissue in mammography images. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Comput. Methods Programs Biomed. ![In: Comput. Methods Programs Biomed. 211, pp. 106368, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
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14 | Swarup Kr Ghosh, Biswajit Biswas, Anupam Ghosh |
Development of intuitionistic fuzzy special embedded convolutional neural network for mammography enhancement. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Comput. Intell. ![In: Comput. Intell. 37(1), pp. 47-69, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
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14 | Segni Kejela |
Cost-effectiveness of screening mammography in a low income country: a Markov simulation analysis. ![Search on Bibsonomy](Pics/bibsonomy.png) |
BMC Medical Imaging ![In: BMC Medical Imaging 21(1), pp. 162, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
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14 | Jianxing Zhang, Lishang Cai, Ling Chen, Xiyan Pang, Miao Chen, Dan Yan, Jia Liu, Liangping Luo |
Re-evaluation of high-risk breast mammography lesions by target ultrasound and ABUS of breast non-mass-like lesions. ![Search on Bibsonomy](Pics/bibsonomy.png) |
BMC Medical Imaging ![In: BMC Medical Imaging 21(1), pp. 156, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
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14 | Haichao Cao, Shiliang Pu, Wenming Tan |
A Novel Method For Segmentation Of Breast Masses Based On Mammography Images. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICIP ![In: 2021 IEEE International Conference on Image Processing, ICIP 2021, Anchorage, AK, USA, September 19-22, 2021, pp. 3782-3786, 2021, IEEE, 978-1-6654-3102-6. The full citation details ...](Pics/full.jpeg) |
2021 |
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14 | Yijiang Fan, Jiajia Jiao |
Mammography Data Augmentation Using ACGAN. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ISAIMS ![In: ISAIMS 2021: 2nd International Symposium on Artificial Intelligence for Medicine Sciences, Beijing, China, October 29 - 31, 2021, pp. 431-437, 2021, ACM, 978-1-4503-9558-8. The full citation details ...](Pics/full.jpeg) |
2021 |
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14 | Priscilla Cho, Hong-Jun Yoon |
Evaluation of U-net-based image segmentation model to digital mammography. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Medical Imaging: Image Processing ![In: Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021, SPIE, 9781510640214. The full citation details ...](Pics/full.jpeg) |
2021 |
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14 | Paul Amstutz, Karen Drukker, Hui Li 0024, Hiroyuki Abe, Maryellen L. Giger, Heather M. Whitney |
Case-based diagnostic classification repeatability using radiomic features extracted from full-field digital mammography images of breast lesions. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Medical Imaging: Computer-Aided Diagnosis ![In: Medical Imaging 2021: Computer-Aided Diagnosis, Online, February 15-20, 2021, 2021, SPIE, 9781510640238. The full citation details ...](Pics/full.jpeg) |
2021 |
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14 | Mika Yamamuro, Yoshiyuki Asai, Naomi Hashimoto, Nao Yasuda, Takahiro Yamada, Mitsutaka Nemoto, Yuichi Kimura, Hisashi Handa, Hisashi Yoshida, Koji Abe, Masahiro Tada, Hitoshi Habe, Takashi Nagaoka, Yoshiaki Ozaki, Seiun Nin, Kazunari Ishii, Yongbum Lee |
How to select training data to segment mammary gland region using a deep-learning approach for reliable individualized screening mammography. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Medical Imaging: Computer-Aided Diagnosis ![In: Medical Imaging 2021: Computer-Aided Diagnosis, Online, February 15-20, 2021, 2021, SPIE, 9781510640238. The full citation details ...](Pics/full.jpeg) |
2021 |
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14 | Noor Nakhaei, Chrysostomos Marasinou, Akinyinka Omigbodun, Nina Capiro, Bo Li, Anne Hoyt, William Hsu |
Spatial matching of magnified 2D mammography images and specimen radiographs: towards improved characterization of suspicious microcalcifications. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Medical Imaging: Computer-Aided Diagnosis ![In: Medical Imaging 2021: Computer-Aided Diagnosis, Online, February 15-20, 2021, 2021, SPIE, 9781510640238. The full citation details ...](Pics/full.jpeg) |
2021 |
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14 | Yen Nhi Truong Vu, Trevor Tsue, Jason Su, Sadanand Singh |
An improved mammography malignancy model with self-supervised learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Medical Imaging: Computer-Aided Diagnosis ![In: Medical Imaging 2021: Computer-Aided Diagnosis, Online, February 15-20, 2021, 2021, SPIE, 9781510640238. The full citation details ...](Pics/full.jpeg) |
2021 |
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14 | Rohini Basu, Meghana Madarkal, Asoke K. Talukder |
Smartphone Mammography for Breast Cancer Screening. ![Search on Bibsonomy](Pics/bibsonomy.png) |
BDA ![In: Big Data Analytics - 9th International Conference, BDA 2021, Virtual Event, December 15-18, 2021, Proceedings, pp. 16-30, 2021, Springer, 978-3-030-93619-8. The full citation details ...](Pics/full.jpeg) |
2021 |
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14 | Orawan Chunhapran, Tongjai Yampaka |
Combination Ultrasound and Mammography for Breast Cancer Classification using Deep Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
JCSSE ![In: 18th International Joint Conference on Computer Science and Software Engineering, JCSSE 2021, Lampang, Thailand, June 30 - July 2, 2021, pp. 1-6, 2021, IEEE, 978-1-6654-3831-5. The full citation details ...](Pics/full.jpeg) |
2021 |
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14 | Kangning Liu, Yiqiu Shen, Nan Wu, Jakub Piotr Chledowski, Carlos Fernandez-Granda, Krzysztof J. Geras |
Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MIDL ![In: Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., pp. 451-472, 2021, PMLR. The full citation details ...](Pics/full.jpeg) |
2021 |
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14 | Juliana Wolf Pereira, Marcela Xavier Ribeiro |
Semantic Annotation and Classification of Mammography Images using Ontologies. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CBMS ![In: 34th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2021, Aveiro, Portugal, June 7-9, 2021, pp. 378-383, 2021, IEEE, 978-1-6654-4121-6. The full citation details ...](Pics/full.jpeg) |
2021 |
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14 | Raffaele M. Tucciariello, Patrizio Barca, D. Del Sarto, Rocco Lamastra, Giovanni Mettivier, Alessandra Retico, Paolo Russo, Antonio Sarno, Antonio C. Traino, Maria Evelina Fantacci |
Voxelized Breast Phantoms for Dosimetry in Mammography. ![Search on Bibsonomy](Pics/bibsonomy.png) |
BIOINFORMATICS ![In: Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2021, Volume 3: BIOINFORMATICS, Online Streaming, February 11-13, 2021., pp. 154-161, 2021, SCITEPRESS, 978-989-758-490-9. The full citation details ...](Pics/full.jpeg) |
2021 |
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14 | Cristiana Moroz-Dubenco, Laura Diosan, Anca Andreica |
Mammography Lesion Detection Using an Improved GrowCut Algorithm. ![Search on Bibsonomy](Pics/bibsonomy.png) |
KES ![In: Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, Virtual Event / Szczecin, Poland, 8-10 September 2021., pp. 308-317, 2021, Elsevier. The full citation details ...](Pics/full.jpeg) |
2021 |
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14 | Dehua Chen, Hongjin Zhao, Jianrong He, Qiao Pan, Weiliang Zhao |
An Causal XAI Diagnostic Model for Breast Cancer Based on Mammography Reports. ![Search on Bibsonomy](Pics/bibsonomy.png) |
BIBM ![In: IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021, Houston, TX, USA, December 9-12, 2021, pp. 3341-3349, 2021, IEEE, 978-1-6654-0126-5. The full citation details ...](Pics/full.jpeg) |
2021 |
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14 | Claire K. Park, Jeffrey S. Bax, Annabelle Pundaky, Lori Gardi, Aaron Fenster |
Assessment of system performance and phantom validation of ultrasound-guided breast biopsy under dedicated positron emission mammography localization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Medical Imaging: Image-Guided Procedures ![In: Medical Imaging 2021: Image-Guided Procedures, Robotic Interventions, and Modeling, Online, February 15-20, 2021, 2021, SPIE, 9781510640252. The full citation details ...](Pics/full.jpeg) |
2021 |
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14 | Yinhao Ren, Jiafeng Lu, Zisheng Liang, Lars J. Grimm, Connie E. Kim, Michael Taylor-Cho, Sora Yoon, Jeffrey R. Marks, Joseph Y. Lo |
Retina-Match: Ipsilateral Mammography Lesion Matching in a Single Shot Detection Pipeline. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MICCAI (5) ![In: Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part V, pp. 345-354, 2021, Springer, 978-3-030-87239-7. The full citation details ...](Pics/full.jpeg) |
2021 |
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14 | Ho Kyung Shin, Won Hwa Kim, Hye Jung Kim, Chanho Kim, Jaeil Kim |
Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy Using Multi-scale Patch Learning with Mammography. ![Search on Bibsonomy](Pics/bibsonomy.png) |
PRIME@MICCAI ![In: Predictive Intelligence in Medicine - 4th International Workshop, PRIME 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings, pp. 192-200, 2021, Springer, 978-3-030-87601-2. The full citation details ...](Pics/full.jpeg) |
2021 |
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14 | Junlin Xian, Zhiwei Wang, Kwang-Ting Cheng, Xin Yang 0008 |
Towards Robust Dual-View Transformation via Densifying Sparse Supervision for Mammography Lesion Matching. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MICCAI (5) ![In: Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part V, pp. 355-365, 2021, Springer, 978-3-030-87239-7. The full citation details ...](Pics/full.jpeg) |
2021 |
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14 | Zheren Li, Zhiming Cui, Sheng Wang, Yuji Qi, Xi Ouyang, Qitian Chen, Yuezhi Yang, Zhong Xue, Dinggang Shen, Jie-Zhi Cheng |
Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MICCAI (7) ![In: Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part VII, pp. 98-108, 2021, Springer, 978-3-030-87233-5. The full citation details ...](Pics/full.jpeg) |
2021 |
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14 | Tahir Bachar Issa, David Uminsky 0001, A. Shaw, R. Makipour, Ross W. Filice |
Toward Automatic Mammography Auditing via Universal Language Model Fine Tuning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IRI ![In: 22nd IEEE International Conference on Information Reuse and Integration for Data Science, IRI 2021, Las Vegas, NV, USA, August 10-12, 2021, pp. 215-222, 2021, IEEE, 978-1-6654-3875-9. The full citation details ...](Pics/full.jpeg) |
2021 |
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14 | Alexander Yalunin, Elena Sokolova, Ilya Burenko, Alexander Ponomarchuk, Olga Puchkova, Dmitriy Umerenkov |
Generating Mammography Reports from Multi-view Mammograms with BERT. ![Search on Bibsonomy](Pics/bibsonomy.png) |
EMNLP (Findings) ![In: Findings of the Association for Computational Linguistics: EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 16-20 November, 2021, pp. 153-162, 2021, Association for Computational Linguistics. The full citation details ...](Pics/full.jpeg) |
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