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Publication search results
found 46 matches
- 2021
- Alessandro Crimi, Spyridon Bakas:
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 6th International Workshop, BrainLes 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Revised Selected Papers, Part II. Lecture Notes in Computer Science 12659, Springer 2021, ISBN 978-3-030-72086-5 [contents] - 2020
- Rupal R. Agravat, Mehul S. Raval:
3D Semantic Segmentation of Brain Tumor for Overall Survival Prediction. BrainLes@MICCAI (2) 2020: 215-227 - Agus Subhan Akbar, Chastine Fatichah, Nanik Suciati:
Modified MobileNet for Patient Survival Prediction. BrainLes@MICCAI (2) 2020: 374-387 - 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: 189-199 - Vikas Kumar Anand, Sanjeev Grampurohit, Pranav Aurangabadkar, Avinash Kori, Mahendra Khened, Raghavendra S. Bhat, Ganapathy Krishnamurthi:
Brain Tumor Segmentation and Survival Prediction Using Automatic Hard Mining in 3D CNN Architecture. BrainLes@MICCAI (2) 2020: 310-319 - Navchetan Awasthi, Rohit Pardasani, Swati Gupta:
Multi-threshold Attention U-Net (MTAU) Based Model for Multimodal Brain Tumor Segmentation in MRI Scans. BrainLes@MICCAI (2) 2020: 168-178 - Vikas L. Bommineni:
PieceNet: A Redundant UNet Ensemble. BrainLes@MICCAI (2) 2020: 331-341 - 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: 352-365 - 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: 420-430 - Jordan Colman, Lei Zhang, Wenting Duan, Xujiong Ye:
DR-Unet104 for Multimodal MRI Brain Tumor Segmentation. BrainLes@MICCAI (2) 2020: 410-419 - Laura Alexandra Daza, Catalina Gómez Caballero, Pablo Arbeláez:
Cerberus: A Multi-headed Network for Brain Tumor Segmentation. BrainLes@MICCAI (2) 2020: 342-351 - 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: 320-330 - David G. Ellis, Michele R. Aizenberg:
Trialing U-Net Training Modifications for Segmenting Gliomas Using Open Source Deep Learning Framework. BrainLes@MICCAI (2) 2020: 40-49 - Lucas Fidon, Sébastien Ourselin, Tom Vercauteren:
Generalized Wasserstein Dice Score, Distributionally Robust Deep Learning, and Ranger for Brain Tumor Segmentation: BraTS 2020 Challenge. BrainLes@MICCAI (2) 2020: 200-214 - S. Rosas González, Ilyess Zemmoura, Clovis Tauber:
3D Brain Tumor Segmentation and Survival Prediction Using Ensembles of Convolutional Neural Networks. BrainLes@MICCAI (2) 2020: 241-254 - Vladimir Groza, Bair Tuchinov, Evgeniya Amelina, Evgeniy N. Pavlovskiy, Nikolay Tolstokulakov, Mikhail Amelin, Sergey Golushko, Andrey Letyagin:
Brain Tumor Segmentation and Associated Uncertainty Evaluation Using Multi-sequences MRI Mixture Data Preprocessing. BrainLes@MICCAI (2) 2020: 148-157 - Azam Hamidinekoo, Tomasz Pieciak, Maryam Afzali, Otar Akanyeti, Yinyin Yuan:
Glioma Classification Using Multimodal Radiology and Histology Data. BrainLes@MICCAI (2) 2020: 508-518 - Andrei Iantsen, Vincent Jaouen, Dimitris Visvikis, Mathieu Hatt:
Squeeze-and-Excitation Normalization for Brain Tumor Segmentation. BrainLes@MICCAI (2) 2020: 366-373 - Fabian Isensee, Paul F. Jäger, Peter M. Full, Philipp Vollmuth, Klaus H. Maier-Hein:
nnU-Net for Brain Tumor Segmentation. BrainLes@MICCAI (2) 2020: 118-132 - Haozhe Jia, Weidong Cai, Heng Huang, Yong Xia:
H2NF-Net for Brain Tumor Segmentation Using Multimodal MR Imaging: 2nd Place Solution to BraTS Challenge 2020 Segmentation Task. BrainLes@MICCAI (2) 2020: 58-68 - Keerati Kaewrak, John J. Soraghan, Gaetano Di Caterina, Derek Grose:
TwoPath U-Net for Automatic Brain Tumor Segmentation from Multimodal MRI Data. BrainLes@MICCAI (2) 2020: 300-309 - Krzysztof Kotowski, Szymon Adamski, Wojciech Malara, Bartosz Machura, Lukasz Zarudzki, Jakub Nalepa:
Segmenting Brain Tumors from MRI Using Cascaded 3D U-Nets. BrainLes@MICCAI (2) 2020: 265-277 - Marvin Lerousseau, Eric Deutsch, Nikos Paragios:
Multimodal Brain Tumor Classification. BrainLes@MICCAI (2) 2020: 475-486 - Shiqiang Ma, Zehua Zhang, Jiaqi Ding, Xuejian Li, Jijun Tang, Fei Guo:
A Deep Supervision CNN Network for Brain Tumor Segmentation. BrainLes@MICCAI (2) 2020: 158-167 - Hugh McHugh, Gonzalo D. Maso Talou, Alan Wang:
2D Dense-UNet: A Clinically Valid Approach to Automated Glioma Segmentation. BrainLes@MICCAI (2) 2020: 69-80 - Radu Miron, Ramona Albert, Mihaela Breaban:
A Two-Stage Atrous Convolution Neural Network for Brain Tumor Segmentation and Survival Prediction. BrainLes@MICCAI (2) 2020: 290-299 - Bhavesh Parmar, Mehul Parikh:
Brain Tumor Segmentation and Survival Prediction Using Patch Based Modified 3D U-Net. BrainLes@MICCAI (2) 2020: 398-409 - Jay B. Patel, Ken Chang, Katharina Hoebel, Mishka Gidwani, Nishanth Thumbavanam Arun, Sharut Gupta, Mehak Aggarwal, Praveer Singh, Bruce R. Rosen, Elizabeth R. Gerstner, Jayashree Kalpathy-Cramer:
Segmentation, Survival Prediction, and Uncertainty Estimation of Gliomas from Multimodal 3D MRI Using Selective Kernel Networks. BrainLes@MICCAI (2) 2020: 228-240 - Linmin Pei, Wei-Wen Hsu, Ling-An Chiang, Jing-Ming Guo, Khan M. Iftekharuddin, Rivka Colen:
A Hybrid Convolutional Neural Network Based-Method for Brain Tumor Classification Using mMRI and WSI. BrainLes@MICCAI (2) 2020: 487-496 - Mihir Pendse, Vithursan Thangarasa, Vitaliy Chiley, Ryan Holmdahl, Joel Hestness, Dennis DeCoste:
Memory Efficient 3D U-Net with Reversible Mobile Inverted Bottlenecks for Brain Tumor Segmentation. BrainLes@MICCAI (2) 2020: 388-397
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