Search results for "Mammography"

Hits ?▲	Authors	Title	Venue	Year	Link
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.	J. Imaging	2022	DBLP DOI BibTeX RDF
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.	J. Imaging	2022	DBLP DOI BibTeX RDF
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.	IEEE Trans. Biomed. Eng.	2022	DBLP DOI BibTeX RDF
14	William C. Walton, Seung-Jun Kim 0002, Lisa A. Mullen	Automated Registration for Dual-View X-Ray Mammography Using Convolutional Neural Networks.	IEEE Trans. Biomed. Eng.	2022	DBLP DOI BibTeX RDF
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.	Sensors	2022	DBLP DOI BibTeX RDF
14	Maha M. Alshammari, Afnan Almuhanna, Jamal Alhiyafi	Mammography Image-Based Diagnosis of Breast Cancer Using Machine Learning: A Pilot Study.	Sensors	2022	DBLP DOI BibTeX RDF
14	Narbota Amanova, Jörg Martin, Clemens Elster	Explainability for deep learning in mammography image quality assessment.	Mach. Learn. Sci. Technol.	2022	DBLP DOI BibTeX RDF
14	Shuai Ge, Yixing Yu, Dong Jia, Yang Ling	Application of mammography-based radiomics signature for preoperative prediction of triple-negative breast cancer.	BMC Medical Imaging	2022	DBLP DOI BibTeX RDF
14	Ronglin Gong, Shihui Ying, Jun Shi 0004	Task-Driven Self-Supervised BI-Channel Networks Learning for Diagnosis of Breast Cancers with Mammography.	ICIP	2022	DBLP DOI BibTeX RDF
14	Guillaume Pelluet, Mira Rizkallah, Mickael Tardy, Oscar Acosta, Diana Mateus	Multi-scale Graph Neural Networks for Mammography Classification and Abnormality Detection.	MIUA	2022	DBLP DOI BibTeX RDF
14	Tatsuaki Kobayashi, Takafumi Haraguchi, Tomoharu Nagao	Classifying the Presence or Absence of Calcifications on Mammography using the EfficientNet: A Feasibility Study.	LifeTech	2022	DBLP DOI BibTeX RDF
14	Joana Cristo Santos, Pedro Henriques Abreu, Miriam Seoane Santos	The identification of cancer lesions in mammography images with missing pixels: analysis of morphology.	DSAA	2022	DBLP DOI BibTeX RDF
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.	Medical Imaging: Image Processing	2022	DBLP DOI BibTeX RDF
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.	Medical Imaging: Computer-Aided Diagnosis	2022	DBLP DOI BibTeX RDF
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.	Medical Imaging: Computer-Aided Diagnosis	2022	DBLP DOI BibTeX RDF
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.	CCE	2022	DBLP DOI BibTeX RDF
14	Fredrik A. Dahl, Marit Holden, Olav Brautaset, Line Eikvil	A mammography classification model trained from image labels only.	NLDL	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.	CommNet	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.	EMBC	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.	EMBC	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.	KES	2022	DBLP DOI BibTeX RDF
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.	BHI	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.	BIBM	2022	DBLP DOI BibTeX RDF
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.	DGM4MICCAI@MICCAI	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.	MICCAI (3)	2022	DBLP DOI BibTeX RDF
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.	AMAI@MICCAI	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.	MLMI@MICCAI	2022	DBLP DOI BibTeX RDF
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.	MILLanD@MICCAI	2022	DBLP DOI BibTeX RDF
14	Nada M. Hassan, Safwat Hamad, Khaled Mahar	A Deep Learning Model for Mammography Mass Detection Using Mosaic and Reconstructed Multichannel Images.	ICCSA (1)	2022	DBLP DOI BibTeX RDF
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.	ACCV (Workshops)	2022	DBLP DOI BibTeX RDF
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.	IWBBIO (2)	2022	DBLP DOI BibTeX RDF
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.	Medical Imaging: Image Perception, Observer Performance, and Technology Assessment	2022	DBLP DOI BibTeX RDF
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.	Medical Imaging: Image Perception, Observer Performance, and Technology Assessment	2022	DBLP DOI BibTeX RDF
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.	MetroXRAINE	2022	DBLP DOI BibTeX RDF
14	Yi-Chong Zeng, Yu-Hao Chen	Skinfold Recognition for Positioning Quality Evaluation on Mammography.	GCCE	2022	DBLP DOI BibTeX RDF
14	Ramazan Ozgur Dogan, Hayati Ture, Temel Kayikçioglu	Segmentation of Pectoral Muscle Region in MLO Mammography Images by Backboned U-Net.	SIU	2022	DBLP DOI BibTeX RDF
14	Andreu Badal, Diksha Sharma, Christian G. Graff, Rongping Zeng, Aldo Badano	Mammography and breast tomosynthesis simulator for virtual clinical trials.	Comput. Phys. Commun.	2021	DBLP DOI BibTeX RDF
14	Amani Tariq Jamal, Anis Ben Ishak, Sayed Abdel-Khalek	Tumor edge detection in mammography images using quantum and machine learning approaches.	Neural Comput. Appl.	2021	DBLP DOI BibTeX RDF
14	Mostafa Boroumandzadeh, Elham Parvinnia	Automated classification of BI-RADS in textual mammography reports.	Turkish J. Electr. Eng. Comput. Sci.	2021	DBLP DOI BibTeX RDF
14	Shankar Thawkar, Law Kumar Singh, Munish Khanna	Multi-objective techniques for feature selection and classification in digital mammography.	Intell. Decis. Technol.	2021	DBLP DOI BibTeX RDF
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.	Multidimens. Syst. Signal Process.	2021	DBLP DOI BibTeX RDF
14	Shankar Thawkar	A hybrid model using teaching-learning-based optimization and Salp swarm algorithm for feature selection and classification in digital mammography.	J. Ambient Intell. Humaniz. Comput.	2021	DBLP DOI BibTeX RDF
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.	IEEE Access	2021	DBLP DOI BibTeX RDF
14	Swarup Kr Ghosh, Biswajit Biswas, Anupam Ghosh	A novel stacked sparse denoising autoencoder for mammography restoration to visual interpretation of breast lesion.	Evol. Intell.	2021	DBLP DOI BibTeX RDF
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.	Intell. Syst. Appl.	2021	DBLP DOI BibTeX RDF
14	Ilhame Ait Lbachir, Imane Daoudi, Saadia Tallal	Automatic computer-aided diagnosis system for mass detection and classification in mammography.	Multim. Tools Appl.	2021	DBLP DOI BibTeX RDF
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.	Int. J. Medical Informatics	2021	DBLP DOI BibTeX RDF
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.	J. Digit. Imaging	2021	DBLP DOI BibTeX RDF
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.	J. Digit. Imaging	2021	DBLP DOI BibTeX RDF
14	Paul H. Yi, Dhananjay Singh 0002, Susan C. Harvey, Gregory D. Hager, Lisa A. Mullen	DeepCAT: Deep Computer-Aided Triage of Screening Mammography.	J. Digit. Imaging	2021	DBLP DOI BibTeX RDF
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.	Nat. Mach. Intell.	2021	DBLP DOI BibTeX RDF
14	Ronglin Gong, Zhiyang Lu, Jun Shi 0004	Task-driven Self-supervised Bi-channel Networks Learning for Diagnosis of Breast Cancers with Mammography.	CoRR	2021	DBLP BibTeX RDF
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.	CoRR	2021	DBLP BibTeX RDF
14	Benjamin Stadnick, Jan Witowski, Vishwaesh Rajiv, Jakub Chledowski, Farah E. Shamout, Kyunghyun Cho, Krzysztof J. Geras	Meta-repository of screening mammography classifiers.	CoRR	2021	DBLP BibTeX RDF
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.	CoRR	2021	DBLP BibTeX RDF
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.	CoRR	2021	DBLP BibTeX RDF
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.	CoRR	2021	DBLP BibTeX RDF
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.	CoRR	2021	DBLP BibTeX RDF
14	Charles Lu 0001, Andréanne Lemay, Katharina Hoebel, Jayashree Kalpathy-Cramer	Evaluating subgroup disparity using epistemic uncertainty in mammography.	CoRR	2021	DBLP BibTeX RDF
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.	CoRR	2021	DBLP BibTeX RDF
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.	CoRR	2021	DBLP BibTeX RDF
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.	Int. J. Comput. Assist. Radiol. Surg.	2021	DBLP DOI BibTeX RDF
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.	Evol. Syst.	2021	DBLP DOI BibTeX RDF
14	Leila Abdelrahman, Manal Al Ghamdi, Fernando Collado-Mesa, Mohamed Abdel-Mottaleb	Convolutional neural networks for breast cancer detection in mammography: A survey.	Comput. Biol. Medicine	2021	DBLP DOI BibTeX RDF
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.	Comput. Biol. Medicine	2021	DBLP DOI BibTeX RDF
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.	Knowl. Based Syst.	2021	DBLP DOI BibTeX RDF
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.	J. Medical Imaging Health Informatics	2021	DBLP DOI BibTeX RDF
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.	J. Imaging	2021	DBLP DOI BibTeX RDF
14	João Mendes, Nuno Matela	Breast Cancer Risk Assessment: A Review on Mammography-Based Approaches.	J. Imaging	2021	DBLP DOI BibTeX RDF
14	Luís Viegas, Inês Domingues, Mateus Mendes	Study on Data Partition for Delimitation of Masses in Mammography.	J. Imaging	2021	DBLP DOI BibTeX RDF
14	Ulzee An, Ankit Bhardwaj, Khader Shameer, Lakshminarayanan Subramanian	High Precision Mammography Lesion Identification From Imprecise Medical Annotations.	Frontiers Big Data	2021	DBLP DOI BibTeX RDF
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.	Sensors	2021	DBLP DOI BibTeX RDF
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.	J. Biomed. Informatics	2021	DBLP DOI BibTeX RDF
14	Haichao Cao, Shiliang Pu, Wenming Tan, Junyan Tong	Breast mass detection in digital mammography based on anchor-free architecture.	Comput. Methods Programs Biomed.	2021	DBLP DOI BibTeX RDF
14	Angie Hernández, David A. Miranda, Said Pertuz	Algorithms and methods for computerized analysis of mammography images in breast cancer risk assessment.	Comput. Methods Programs Biomed.	2021	DBLP DOI BibTeX RDF
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.	Comput. Methods Programs Biomed.	2021	DBLP DOI BibTeX RDF
14	Swarup Kr Ghosh, Biswajit Biswas, Anupam Ghosh	Development of intuitionistic fuzzy special embedded convolutional neural network for mammography enhancement.	Comput. Intell.	2021	DBLP DOI BibTeX RDF
14	Segni Kejela	Cost-effectiveness of screening mammography in a low income country: a Markov simulation analysis.	BMC Medical Imaging	2021	DBLP DOI BibTeX RDF
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.	BMC Medical Imaging	2021	DBLP DOI BibTeX RDF
14	Haichao Cao, Shiliang Pu, Wenming Tan	A Novel Method For Segmentation Of Breast Masses Based On Mammography Images.	ICIP	2021	DBLP DOI BibTeX RDF
14	Yijiang Fan, Jiajia Jiao	Mammography Data Augmentation Using ACGAN.	ISAIMS	2021	DBLP DOI BibTeX RDF
14	Priscilla Cho, Hong-Jun Yoon	Evaluation of U-net-based image segmentation model to digital mammography.	Medical Imaging: Image Processing	2021	DBLP DOI BibTeX RDF
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.	Medical Imaging: Computer-Aided Diagnosis	2021	DBLP DOI BibTeX RDF
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.	Medical Imaging: Computer-Aided Diagnosis	2021	DBLP DOI BibTeX RDF
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.	Medical Imaging: Computer-Aided Diagnosis	2021	DBLP DOI BibTeX RDF
14	Yen Nhi Truong Vu, Trevor Tsue, Jason Su, Sadanand Singh	An improved mammography malignancy model with self-supervised learning.	Medical Imaging: Computer-Aided Diagnosis	2021	DBLP DOI BibTeX RDF
14	Rohini Basu, Meghana Madarkal, Asoke K. Talukder	Smartphone Mammography for Breast Cancer Screening.	BDA	2021	DBLP DOI BibTeX RDF
14	Orawan Chunhapran, Tongjai Yampaka	Combination Ultrasound and Mammography for Breast Cancer Classification using Deep Learning.	JCSSE	2021	DBLP DOI BibTeX RDF
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.	MIDL	2021	DBLP BibTeX RDF
14	Juliana Wolf Pereira, Marcela Xavier Ribeiro	Semantic Annotation and Classification of Mammography Images using Ontologies.	CBMS	2021	DBLP DOI BibTeX RDF
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.	BIOINFORMATICS	2021	DBLP DOI BibTeX RDF
14	Cristiana Moroz-Dubenco, Laura Diosan, Anca Andreica	Mammography Lesion Detection Using an Improved GrowCut Algorithm.	KES	2021	DBLP DOI BibTeX RDF
14	Dehua Chen, Hongjin Zhao, Jianrong He, Qiao Pan, Weiliang Zhao	An Causal XAI Diagnostic Model for Breast Cancer Based on Mammography Reports.	BIBM	2021	DBLP DOI BibTeX RDF
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.	Medical Imaging: Image-Guided Procedures	2021	DBLP DOI BibTeX RDF
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.	MICCAI (5)	2021	DBLP DOI BibTeX RDF
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.	PRIME@MICCAI	2021	DBLP DOI BibTeX RDF
14	Junlin Xian, Zhiwei Wang, Kwang-Ting Cheng, Xin Yang 0008	Towards Robust Dual-View Transformation via Densifying Sparse Supervision for Mammography Lesion Matching.	MICCAI (5)	2021	DBLP DOI BibTeX RDF
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.	MICCAI (7)	2021	DBLP DOI BibTeX RDF
14	Tahir Bachar Issa, David Uminsky 0001, A. Shaw, R. Makipour, Ross W. Filice	Toward Automatic Mammography Auditing via Universal Language Model Fine Tuning.	IRI	2021	DBLP DOI BibTeX RDF
14	Alexander Yalunin, Elena Sokolova, Ilya Burenko, Alexander Ponomarchuk, Olga Puchkova, Dmitriy Umerenkov	Generating Mammography Reports from Multi-view Mammograms with BERT.	EMNLP (Findings)	2021	DBLP DOI BibTeX RDF