Search results for "glioma"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
59	Dana Cobzas, Parisa Mosayebi, Albert Murtha, Martin Jägersand	Tumor Invasion Margin on the Riemannian Space of Brain Fibers.	MICCAI (1)	2009	DBLP DOI BibTeX RDF
56	Cosmina Hogea, Christos Davatzikos, George Biros	Modeling Glioma Growth and Mass Effect in 3D MR Images of the Brain.	MICCAI (1)	2007	DBLP DOI BibTeX RDF
56	Marianne Morris, Russell Greiner, Jörg Sander 0001, Albert Murtha, Mark Schmidt 0001	A Classification-Based Glioma Diffusion Model Using MRI Data.	Canadian AI	2006	DBLP DOI BibTeX RDF
56	Guo-Zheng Li 0001, Tian-Yu Liu, Victor S. Cheng	Classification of Brain Glioma by Using SVMs Bagging with Feature Selection.	BioDM	2006	DBLP DOI BibTeX RDF
56	Bernard Cena, Nick C. Fox, Jeremy Rees	Fluid Deformation of Serial Structural MRI for Low-Grade Glioma Growth Analysis.	MICCAI (2)	2004	DBLP DOI BibTeX RDF
40	Qiyi Song, Feng Yin, Huafu Chen, Yi Zhang 0042, Qiaoli Hu, Dezhong Yao 0001	A Novel Unified SPM-ICA-PCA Method for Detecting Epileptic Activities in Resting-State fMRI.	ICNC (2)	2006	DBLP DOI BibTeX RDF
40	Marc Droske, Bernhard Meyer, Martin Rumpf, Carlo Schaller	An Adaptive Level Set Method for Medical Image Segmentation.	IPMI	2001	DBLP DOI BibTeX RDF
40	Leif G. Salford, Arne Brun, Bertil R. R. Persson	Brain tumour development in rats exposed to electromagnetic fields used in wireless cellular communication.	Wirel. Networks	1997	DBLP DOI BibTeX RDF
37	Elsa D. Angelini, Jamal Atif, Julie Delon, Emmanuel Mandonnet, Hugues Duffau, Laurent Capelle	Detection of Glioma Evolution on Longitudinal Mri Studies.	ISBI	2007	DBLP DOI BibTeX RDF
37	Tao Jiang, Zixiao Li, Shouwei Li, Shaowu Li, Zhong Zhang 0006	Role of 3T High Field BOLD fMRI in Brain Cortical Mapping for Glioma Involving Eloquent Areas.	MIAR	2006	DBLP DOI BibTeX RDF
36	Anupam Gupta 0001, Ziv Bar-Joseph	Extracting Dynamics from Static Cancer Expression Data.	IEEE ACM Trans. Comput. Biol. Bioinform.	2008	DBLP DOI BibTeX RDF	glioma, microarrays, EM, traveling salesman
34	Karin A. van Garderen, Sebastian R. van der Voort, Maarten M. J. Wijnenga, Fatih Incekara, Ahmad Alafandi, Georgios Kapsas, Renske Gahrmann, Joost W. Schouten, Hendrikus J. Dubbink, Arnaud J. P. E. Vincent, Martin J. van den Bent, Pim J. French, Marion Smits, Stefan Klein 0001	Evaluating the Predictive Value of Glioma Growth Models for Low-Grade Glioma After Tumor Resection.	IEEE Trans. Medical Imaging	2024	DBLP DOI BibTeX RDF
34	Jing Qin, Dongyuan Wu, Erqiang Zhou, Zhen Qin 0002, Zhiguang Qin	Differentiable Attention Unet-like Nerual Architecture Search for Multimodal Magnetic Resonance Imaging-based Glioma Segmentaion DAUNAS for Multimodal MRI-based Glioma Segmentation.	ISAIMS	2023	DBLP DOI BibTeX RDF
34	Ramy A. Zeineldin, Mohamed E. Karar, Franziska Mathis-Ullrich, Oliver Burgert	Self-supervised iRegNet for the Registration of Longitudinal Brain MRI of Diffuse Glioma Patients.	BrainLes@MICCAI (2)	2022	DBLP DOI BibTeX RDF
34	Selene De Sutter, Wietse Geens, Matías N. Bossa, Anne-Marie Vanbinst, Johnny Duerinck, Jef Vandemeulebroucke	Probabilistic Tissue Mapping for Tumor Segmentation and Infiltration Detection of Glioma.	BrainLes@MICCAI	2022	DBLP DOI BibTeX RDF
34	Tony C. W. Mok, Albert C. S. Chung	Robust Image Registration with Absent Correspondences in Pre-operative and Follow-Up Brain MRI Scans of Diffuse Glioma Patients.	BrainLes@MICCAI	2022	DBLP DOI BibTeX RDF
34	Zheng Zhao, Ke-Nan Zhang, Qiangwei Wang, Guanzhang Li, Fan Zeng, Ying Zhang, Fan Wu, Ruichao Chai, Zheng Wang 0063, Chuanbao Zhang, Wei Zhang 0203, Zhaoshi Bao, Tao Jiang 0050	Chinese Glioma Genome Atlas (CGGA): A Comprehensive Resource with Functional Genomic Data from Chinese Glioma Patients.	Genom. Proteom. Bioinform.	2021	DBLP DOI BibTeX RDF
34	Junjie Lv, Fubin Ren, Zhengyu Lv, Zhiqiang Chang, Wan Li, Yuehan He, Lina Chen	Identification of genes associated with cancer prognosis in glioma: In silico data analyses of Chinese Glioma Genome Atlas (CGGA) and The Cancer Genome Atlas (TCGA).	J. Bioinform. Comput. Biol.	2021	DBLP DOI BibTeX RDF
34	Hakan Özcan	Makine öğrenme temelli glioma analizi ve derecelendirme sistemi (Machine learning based glioma analysis and grading system)		2021	RDF
34	Karin A. van Garderen, Sebastian R. van der Voort, Maarten M. J. Wijnenga, Fatih Incekara, Georgios Kapsas, Renske Gahrmann, Ahmad Alafandi, Marion Smits, Stefan Klein 0001	Evaluating Glioma Growth Predictions as a Forward Ranking Problem.	BrainLes@MICCAI (1)	2021	DBLP DOI BibTeX RDF
34	Yiran Wei 0002, Yonghao Li, Xi Chen 0042, Carola-Bibiane Schönlieb, Chao Li 0031, Stephen J. Price	Predicting Isocitrate Dehydrogenase Mutation Status in Glioma Using Structural Brain Networks and Graph Neural Networks.	BrainLes@MICCAI (1)	2021	DBLP DOI BibTeX RDF
34	Xiaohong Cai, Shubin Lou, Mingrui Shuai, Zhulin An	Feature Learning by Attention and Ensemble with 3D U-Net to Glioma Tumor Segmentation.	BrainLes@MICCAI (2)	2021	DBLP DOI BibTeX RDF
34	Bingchao Zhao, Jia Huang, Changhong Liang, Zaiyi Liu, Chu Han	CNN-Based Fully Automatic Glioma Classification with Multi-modal Medical Images.	BrainLes@MICCAI (2)	2020	DBLP DOI BibTeX RDF
34	Richard Zsamboki, Petra Takacs, Borbála Deák-Karancsi	Glioma Segmentation with 3D U-Net Backed with Energy-Based Post-Processing.	BrainLes@MICCAI (2)	2020	DBLP DOI BibTeX RDF
34	Zhongqiang Liu, Dongdong Gu, Yu Zhang, Xiaohuan Cao, Zhong Xue	Automatic Segmentation of Non-tumor Tissues in Glioma MR Brain Images Using Deformable Registration with Partial Convolutional Networks.	BrainLes@MICCAI (1)	2020	DBLP DOI BibTeX RDF
34	MacLean P. Nasrallah	Glioma Diagnosis and Classification: Illuminating the Gold Standard.	BrainLes@MICCAI (1)	2020	DBLP DOI BibTeX RDF
34	Azam Hamidinekoo, Tomasz Pieciak, Maryam Afzali, Otar Akanyeti, Yinyin Yuan	Glioma Classification Using Multimodal Radiology and Histology Data.	BrainLes@MICCAI (2)	2020	DBLP DOI BibTeX RDF
34	Hugh McHugh, Gonzalo D. Maso Talou, Alan Wang	2D Dense-UNet: A Clinically Valid Approach to Automated Glioma Segmentation.	BrainLes@MICCAI (2)	2020	DBLP DOI BibTeX RDF
34	Muhammad Junaid Ali, Muhammad Tahir Akram, Hira Saleem, Basit Raza, Ahmad Raza Shahid	Glioma Segmentation Using Ensemble of 2D/3D U-Nets and Survival Prediction Using Multiple Features Fusion.	BrainLes@MICCAI (2)	2020	DBLP DOI BibTeX RDF
34	Enshuai Pang, Wei Shi, Xuan Li, Qiang Wu 0009	Glioma Segmentation Using Encoder-Decoder Network and Survival Prediction Based on Cox Analysis.	BrainLes@MICCAI (1)	2020	DBLP DOI BibTeX RDF
34	Xiyue Wang, Sen Yang, Xiyi Wu	Automatic Glioma Grading Based on Two-Stage Networks by Integrating Pathology and MRI Images.	BrainLes@MICCAI (2)	2020	DBLP DOI BibTeX RDF
34	Kun Cheng, Caihao Hu, Pengyu Yin, Qianlan Su, Guancheng Zhou, Xian Wu, Xiaohui Wang, Wei Yang	Glioma Sub-region Segmentation on Multi-parameter MRI with Label Dropout.	BrainLes@MICCAI (2)	2020	DBLP DOI BibTeX RDF
34	Chase Duncan, Francis Roxas, Neel Jani, Jane Maksimovic, Matthew T. Bramlet, Brad Sutton, Sanmi Koyejo	Some New Tricks for Deep Glioma Segmentation.	BrainLes@MICCAI (2)	2020	DBLP DOI BibTeX RDF
34	Lina Chato, Pushkin Kachroo, Shahram Latifi	An Automatic Overall Survival Time Prediction System for Glioma Brain Tumor Patients Based on Volumetric and Shape Features.	BrainLes@MICCAI (2)	2020	DBLP DOI BibTeX RDF
34	Subhashis Banerjee, Harkirat Singh Arora, Sushmita Mitra	Ensemble of CNNs for Segmentation of Glioma Sub-regions with Survival Prediction.	BrainLes@MICCAI (2)	2019	DBLP DOI BibTeX RDF
34	Mohammad Hamghalam, Baiying Lei, Tianfu Wang 0001	Convolutional 3D to 2D Patch Conversion for Pixel-Wise Glioma Segmentation in MRI Scans.	BrainLes@MICCAI (1)	2019	DBLP DOI BibTeX RDF
34	Pengyu Yin, Yingdong Hu, Jing Liu, Jiaming Duan, Wei Yang, Kun Cheng	The Tumor Mix-Up in 3D Unet for Glioma Segmentation.	BrainLes@MICCAI (2)	2019	DBLP DOI BibTeX RDF
34	Javier Juan-Albarracín, Elies Fuster-García, María del Mar Álvarez-Torres, Eduard Chelebian, Juan M. García-Gómez	ONCOhabitats Glioma Segmentation Model.	BrainLes@MICCAI (1)	2019	DBLP DOI BibTeX RDF
34	Li Sun, Songtao Zhang, Lin Luo 0006	Tumor Segmentation and Survival Prediction in Glioma with Deep Learning.	BrainLes@MICCAI (2)	2018	DBLP DOI BibTeX RDF
34	Evan D. H. Gates, J. Gregory Pauloski, Dawid Schellingerhout, David Fuentes 0001	Glioma Segmentation and a Simple Accurate Model for Overall Survival Prediction.	BrainLes@MICCAI (2)	2018	DBLP DOI BibTeX RDF
34	Dmitry A. Lachinov, Evgeny Vasiliev, Vadim Turlapov	Glioma Segmentation with Cascaded UNet.	BrainLes@MICCAI (2)	2018	DBLP DOI BibTeX RDF
34	Xiaobin Hu, Hongwei Li 0004, Yu Zhao 0009, Chao Dong, Bjoern H. Menze, Marie Piraud	Hierarchical Multi-class Segmentation of Glioma Images Using Networks with Multi-level Activation Function.	BrainLes@MICCAI (2)	2018	DBLP DOI BibTeX RDF
34	Mobarakol Islam, V. Jeya Maria Jose, Hongliang Ren 0001	Glioma Prognosis: Segmentation of the Tumor and Survival Prediction Using Shape, Geometric and Clinical Information.	BrainLes@MICCAI (2)	2018	DBLP DOI BibTeX RDF
34	Kamlesh Pawar, Zhaolin Chen, N. Jon Shah, Gary F. Egan	Residual Encoder and Convolutional Decoder Neural Network for Glioma Segmentation.	BrainLes@MICCAI	2017	DBLP DOI BibTeX RDF
34	Benjamin Amoah, Alessandro Crimi	Topological Measures of Connectomics for Low Grades Glioma.	BrainLes@MICCAI	2016	DBLP DOI BibTeX RDF
34	Spyridon Bakas, Ke Zeng, Aristeidis Sotiras, Saima Rathore, Hamed Akbari, Bilwaj Gaonkar, Martin Rozycki, Sarthak Pati, Christos Davatzikos	GLISTRboost: Combining Multimodal MRI Segmentation, Registration, and Biophysical Tumor Growth Modeling with Gradient Boosting Machines for Glioma Segmentation.	Brainles@MICCAI	2015	DBLP DOI BibTeX RDF
20	Alessandro De Mauro, Jörg Raczkowsky, Marc Eric Halatsch, Heinz Wörn	Mixed Reality Neurosurgical Microscope for Training and Intra-operative Purposes.	HCI (13)	2009	DBLP DOI BibTeX RDF	haptic feedback, physical modeling, virtual and augmented reality, neurosurgery, training systems
20	Alessandro De Mauro, Jörg Raczkowsky, Marc Eric Halatsch, Heinz Wörn	Virtual Reality Training Embedded in Neurosurgical Microscope.	VR	2009	DBLP DOI BibTeX RDF
20	Chao Wang, Bo Li 0002	A New Orthogonal Discriminant Projection Based Prediction Method for Bioinformatic Data.	ICIC (2)	2008	DBLP DOI BibTeX RDF	NSCLC, SRBCT, Feature Extraction, ODP, GEP
20	Hongen Liao, Koji Shimaya, Kaimeng Wang, Takashi Maruyama, Masafumi Noguchi, Yoshihiro Muragaki, Etsuko Kobayashi, Hiroshi Iseki, Ichiro Sakuma	Combination of Intraoperative 5-Aminolevulinic Acid-Induced Fluorescence and 3-D MR Imaging for Guidance of Robotic Laser Ablation for Precision Neurosurgery.	MICCAI (2)	2008	DBLP DOI BibTeX RDF
20	David Schottlander, Aurélien Louis, Jérôme Declerck, Michael Brady 0001	Preliminary evaluation of a kinetic parameter estimator with application to direct parametric reconstruction.	ISBI	2006	DBLP DOI BibTeX RDF
20	Hugues Duffau	Lessons from Brain Mapping in Surgery for Low-Grade Gliomas: Study of Cerebral Connectivity and Plasticity.	MIAR	2006	DBLP DOI BibTeX RDF
20	Cigdem Demir, S. Humayun Gultekin, Bülent Yener	Learning the Topological Properties of Brain Tumors.	IEEE ACM Trans. Comput. Biol. Bioinform.	2005	DBLP DOI BibTeX RDF	machine learning, graph theory, Image representation, medical information systems, model development
20	Hiroshi Iseki, Motohiro Hayashi, Yoshihiro Muragaki, Tomokatsu Hori, Kiyoshi Naemura, Kintomo Takakura	Clinical Application of Augmented Reality in Neurosurgical Field.	Computer Graphics International	2003	DBLP DOI BibTeX RDF
20	Xiaojuan Li, Ying Lu, S. J. Nelson	Gliomas classification by multivariate analysis of in vivo MRI/MRSI data based on recursive partitioning tree and discriminant analysis.	ISBI	2002	DBLP DOI BibTeX RDF
20	Willi Sauerbrei, Martin Schumacher	Bootstrap and Cross-Validation to Assess Complexity of Data-Driven Regression Models.	ISMDA	2000	DBLP DOI BibTeX RDF
17	Xiaohan Xing, Meilu Zhu, Zhen Chen 0013, Yixuan Yuan	Comprehensive learning and adaptive teaching: Distilling multi-modal knowledge for pathological glioma grading.	Medical Image Anal.	2024	DBLP DOI BibTeX RDF
17	Baiju Karun, Thiyagarajan Arun Prasath, M. Pallikonda Rajasekaran, Rakhee Makreri	Glioma detection using EHO based FLAME clustering in MR brain images.	Int. J. Imaging Syst. Technol.	2024	DBLP DOI BibTeX RDF
17	André Ferreira, Naida Solak, Jianning Li, Philipp Dammann, Jens Kleesiek, Victor Alves, Jan Egger	How we won BraTS 2023 Adult Glioma challenge? Just faking it! Enhanced Synthetic Data Augmentation and Model Ensemble for brain tumour segmentation.	CoRR	2024	DBLP DOI BibTeX RDF
17	Felipe C. R. Salvagnini, Gerson O. Barbosa, Alexandre X. Falcão, Cid A. N. Santos	Self-calibrated convolution towards glioma segmentation.	CoRR	2024	DBLP DOI BibTeX RDF
17	Santiago Valbuena Rubio, María Teresa García-Ordás, Oscar García-Olalla Olivera, Héctor Alaiz-Moretón, María-Inmaculada González-Alonso, José Alberto Benítez-Andrades	Survival and grade of the glioma prediction using transfer learning.	CoRR	2024	DBLP DOI BibTeX RDF
17	Fadillah A. Maani, Anees Ur Rehman Hashmi, Mariam Aljuboory, Numan Saeed, Ikboljon Sobirov, Mohammad Yaqub	Advanced Tumor Segmentation in Medical Imaging: An Ensemble Approach for BraTS 2023 Adult Glioma and Pediatric Tumor Tasks.	CoRR	2024	DBLP DOI BibTeX RDF
17	Evelyn Buckwar, Amira Meddah	Numerical Approximations and Convergence Analysis of Piecewise Diffusion Markov Processes, with Application to Glioma Cell Migration.	CoRR	2024	DBLP DOI BibTeX RDF
17	Jan-Philipp Redlich, Friedrich Feuerhake, Joachim Weis, Nadine S. Schaadt, Sarah Teuber-Hanselmann, Christoph Buck 0003, Sabine Luttmann, Andrea Eberle, Stefan Nikolin, Arno Appenzeller, Andreas Portmann, André Homeyer	Machine learning-based analysis of glioma tissue sections: a review.	CoRR	2024	DBLP DOI BibTeX RDF
17	Ekansh Chauhan, Amit Sharma, Megha S. Uppin, C. V. Jawahar, P. K. Vinod	Multiple Instance Learning for Glioma Diagnosis using Hematoxylin and Eosin Whole Slide Images: An Indian Cohort Study.	CoRR	2024	DBLP DOI BibTeX RDF
17	Wenbin Xu, Jizhong Liu, Bing Fan	Automatic segmentation of brain glioma based on XY-Net.	Medical Biol. Eng. Comput.	2024	DBLP DOI BibTeX RDF
17	Jens Möller, Eveline Popanda, Nuri H. Aydin, Hubert Welp, Iris Tischoff, Carsten Brenner, Kirsten Schmieder, Martin R. Hofmann, Dorothea Miller	Accurate OCT-based diffuse adult-type glioma WHO grade 4 tissue classification using comprehensible texture feature analysis.	Biomed. Signal Process. Control.	2024	DBLP DOI BibTeX RDF
17	Lingling Fang, Yumeng Jiang	Dual-path parallel hierarchical diagnostic model of glioma based on pathomorphological feature.	Biomed. Signal Process. Control.	2024	DBLP DOI BibTeX RDF
17	Qingqing Zhou, Yamei Wang, Chenqi Xin, XiaoMing Wei, Yuan Yao, Liang Xia	Identification of telomere-associated gene signatures to predict prognosis and drug sensitivity in glioma.	Comput. Biol. Medicine	2024	DBLP DOI BibTeX RDF
17	Xiaoyu Shi, Yinhao Li, Jingliang Cheng, Jie Bai, Guohua Zhao, Yen-Wei Chen 0001	Medical SAM: A Glioma Segmentation Fine-tuning Method for SAM Using Brain MR Images.	ICCE	2024	DBLP DOI BibTeX RDF
17	Sofia Martins, Roberta Coletti, Marta B. Lopes	Disclosing transcriptomics network-based signatures of glioma heterogeneity using sparse methods.	BioData Min.	2023	DBLP DOI BibTeX RDF
17	Sana Munquad, Asim Bikas Das	DeepAutoGlioma: a deep learning autoencoder-based multi-omics data integration and classification tools for glioma subtyping.	BioData Min.	2023	DBLP DOI BibTeX RDF
17	Baoshan Liang, Jingye Tan, Luke Lozenski, David A. Hormuth, Thomas E. Yankeelov, Umberto Villa, Danial Faghihi	Bayesian Inference of Tissue Heterogeneity for Individualized Prediction of Glioma Growth.	IEEE Trans. Medical Imaging	2023	DBLP DOI BibTeX RDF
17	Yiran Wei 0002, Xi Chen 0042, Lei Zhu 0003, Lipei Zhang, Carola-Bibiane Schönlieb, Stephen J. Price, Chao Li 0031	Multi-Modal Learning for Predicting the Genotype of Glioma.	IEEE Trans. Medical Imaging	2023	DBLP DOI BibTeX RDF
17	Zahra Papi, Sina Fathi, Fatemeh Dalvand, Mahsa Vali, Ali Yousefi, Mohammad Hemmatyar Tabatabaei, Alireza Amouheidari, Iraj Abedi	Auto-Segmentation and Classification of Glioma Tumors with the Goals of Treatment Response Assessment Using Deep Learning Based on Magnetic Resonance Imaging.	Neuroinformatics	2023	DBLP DOI BibTeX RDF
17	Radhika Malhotra, Barjinder Singh Saini, Savita Gupta	CB-D2RNet - An efficient context bridge network for glioma segmentation.	J. Vis. Commun. Image Represent.	2023	DBLP DOI BibTeX RDF
17	Hongfei Wang, Xinhao Peng, ShiQing Ma, Shuai Wang, Chuan Xu, Ping Yang	An adaptive enhancement method based on stochastic parallel gradient descent of glioma image.	IET Image Process.	2023	DBLP DOI BibTeX RDF
17	Muhammed Yildirim, Emine Cengil, Yesim Eroglu, Ahmet Çinar	Detection and classification of glioma, meningioma, pituitary tumor, and normal in brain magnetic resonance imaging using deep learning-based hybrid model.	Iran J. Comput. Sci.	2023	DBLP DOI BibTeX RDF
17	Çagin Özkaya, Seref Sagiroglu	Glioma Grade Classification Using CNNs and Segmentation With an Adaptive Approach Using Histogram Features in Brain MRIs.	IEEE Access	2023	DBLP DOI BibTeX RDF
17	Hafiz Aamir Hafeez, Mohamed A. Elmagzoub, Nurul Azma Binti Abdullah, Mana Saleh Al Reshan, Ghulam Gilanie, Sultan Alyami, Mahmood Ul Hassan, Asadullah Shaikh	A CNN-Model to Classify Low-Grade and High-Grade Glioma From MRI Images.	IEEE Access	2023	DBLP DOI BibTeX RDF
17	Ghulam Gilanie, Usama Ijaz Bajwa, Mustansar Mahmood Waraich, Muhammad Waqas Anwar, Hafeez Ullah	An automated and risk free WHO grading of glioma from MRI images using CNN.	Multim. Tools Appl.	2023	DBLP DOI BibTeX RDF
17	Prasun Chandra Tripathi, Soumen Bag 0001	An Attention-Guided CNN Framework for Segmentation and Grading of Glioma Using 3D MRI Scans.	IEEE ACM Trans. Comput. Biol. Bioinform.	2023	DBLP DOI BibTeX RDF
17	Guihua Tang, Jianqiao Peng, Longwei Huo, Wen Yin	An N6-methyladenosine regulation- and mRNAsi-related prognostic index reveals the distinct immune microenvironment and immunotherapy responses in lower-grade glioma.	BMC Bioinform.	2023	DBLP DOI BibTeX RDF
17	Ran Li, Haiyan Chen, Chaoxi Li, Yiwei Qi, Kai Zhao, Junwen Wang, Chao You, Haohao Huang	The prognostic value and immune landscaps of m6A/m5C-related lncRNAs signature in the low grade glioma.	BMC Bioinform.	2023	DBLP DOI BibTeX RDF
17	Jian Pan, Ruijuan Lv, Qun Wang, Xiaobin Zhao, Jiangang Liu, Lin Ai	Discrimination between leucine-rich glioma-inactivated 1 antibody encephalitis and gamma-aminobutyric acid B receptor antibody encephalitis based on ResNet18.	Vis. Comput. Ind. Biomed. Art	2023	DBLP DOI BibTeX RDF
17	Santiago Valbuena Rubio, María Teresa García-Ordás, Oscar García-Olalla Olivera, Héctor Alaiz-Moretón, María-Inmaculada González-Alonso, José Alberto Benítez-Andrades	Survival and grade of the glioma prediction using transfer learning.	PeerJ Comput. Sci.	2023	DBLP DOI BibTeX RDF
17	Manoj Kumar, Aliasgar Moiyadi, Narayan Rangaraj, Santosh Noronha, Prakash Shetty, Vikas Kumar Singh, Amit Kumar Choudhari	Implications of use of different intraoperative ultrasound modalities during glioma surgery - A comparative study of factors affecting outcomes.	Int. J. Medical Informatics	2023	DBLP DOI BibTeX RDF
17	Jorge L. López-Agredo, Diego Armando Rueda-Gómez, Élder Jesús Villamizar-Roa	Numerical analysis of a mathematical model describing the evolution of hypoxic glioma cells.	Comput. Math. Appl.	2023	DBLP DOI BibTeX RDF
17	Tony Felefly, Camille Roukoz, Georges Fares, Samir Achkar, Sandrine Yazbeck, Philippe Meyer, Manal Kordahi, Fares Azoury, Dolly Nehme Nasr, Elie Nasr, Georges Noël, Ziad Francis	An Explainable MRI-Radiomic Quantum Neural Network to Differentiate Between Large Brain Metastases and High-Grade Glioma Using Quantum Annealing for Feature Selection.	J. Digit. Imaging	2023	DBLP DOI BibTeX RDF
17	Wadhah Ayadi, Wajdi Elhamzi, Mohamed Atri	A deep conventional neural network model for glioma tumor segmentation.	Int. J. Imaging Syst. Technol.	2023	DBLP DOI BibTeX RDF
17	Syed Sajid Hussain, Jainy Sachdeva, Chirag Kamal Ahuja, Abhiav Singh	Enc-Unet: A novel method for Glioma segmentation.	Int. J. Imaging Syst. Technol.	2023	DBLP DOI BibTeX RDF
17	Xiangbin Liu, Shufen Hou, Shuai Liu 0002, Weiping Ding 0001, Yudong Zhang 0001	Attention-based multimodal glioma segmentation with multi-attention layers for small-intensity dissimilarity.	J. King Saud Univ. Comput. Inf. Sci.	2023	DBLP DOI BibTeX RDF
17	Lixin Cheng, Haonan Wu, Xubin Zheng, Ning Zhang, Pengfei Zhao, Ran Wang, Qiong Wu, Tao Liu, Xiaojun Yang, Qingshan Geng	GPGPS: a robust prognostic gene pair signature of glioma ensembling IDH mutation and 1p/19q co-deletion.	Bioinform.	2023	DBLP DOI BibTeX RDF
17	Xiaoyu Shi, Shurong Chai, Yinhao Li, Jingliang Cheng, Jie Bai, Guohua Zhao, Yen-Wei Chen 0001	Cross-modality Attention Adapter: A Glioma Segmentation Fine-tuning Method for SAM Using Multimodal Brain MR Images.	CoRR	2023	DBLP DOI BibTeX RDF
17	Qinghui Liu, Elies Fuster-García, Ivar Thokle Hovden, Donatas Sederevicius, Karoline Skogen, Bradley J. MacIntosh, Edvard Grødem, Till Schellhorn, Petter Brandal, Atle Bjørnerud, Kyrre Eeg Emblem	Treatment-aware Diffusion Probabilistic Model for Longitudinal MRI Generation and Diffuse Glioma Growth Prediction.	CoRR	2023	DBLP DOI BibTeX RDF
17	Xiaofei Wang, Stephen Price, Chao Li 0031	Multi-task Learning of Histology and Molecular Markers for Classifying Diffuse Glioma.	CoRR	2023	DBLP DOI BibTeX RDF
17	Michal Balcerak, Ivan Ezhov, Petr Karnakov, Sergey Litvinov, Petros Koumoutsakos, Jonas Weidner, Ray Zirui Zhang, John S. Lowengrub, Benedikt Wiestler, Bjoern H. Menze	Individualizing Glioma Radiotherapy Planning by Optimization of a Data and Physics Informed Discrete Loss.	CoRR	2023	DBLP DOI BibTeX RDF
17	Claudia Chinea Hammecher, Karin van Garderen, Marion Smits, Pieter Wesseling, Bart A. Westerman, Pim J. French, Mathilde C. M. Kouwenhoven, Roel G. W. Verhaak, Frans Vos, Esther Bron, Bo Li 0088	Deep learning-based group-wise registration for longitudinal MRI analysis in glioma.	CoRR	2023	DBLP DOI BibTeX RDF
17	Zijie Fang, Yihan Liu, Yifeng Wang, Xiangyang Zhang, Yang Chen, Changjing Cai, Yiyang Lin, Ying Han, Zhi Wang, Shan Zeng, Hong Shen, Jun Tan, Yongbing Zhang	Deep Learning Predicts Biomarker Status and Discovers Related Histomorphology Characteristics for Low-Grade Glioma.	CoRR	2023	DBLP DOI BibTeX RDF
17	Yang Chen, Zhenyu Yang, Jingtong Zhao, Justus Adamson, Yang Sheng, Fang-Fang Yin, Chunhao Wang	A Radiomics-Incorporated Deep Ensemble Learning Model for Multi-Parametric MRI-based Glioma Segmentation.	CoRR	2023	DBLP DOI BibTeX RDF