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Publication search results
found 42 matches
- 2022
- Alessandro Crimi, Spyridon Bakas:
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 7th International Workshop, BrainLes 2021, Held in Conjunction with MICCAI 2021, Virtual Event, September 27, 2021, Revised Selected Papers, Part I. Lecture Notes in Computer Science 12962, Springer 2022, ISBN 978-3-031-08998-5 [contents] - 2021
- Agus Subhan Akbar, Chastine Fatichah, Nanik Suciati:
Unet3D with Multiple Atrous Convolutions Attention Block for Brain Tumor Segmentation. BrainLes@MICCAI (1) 2021: 182-193 - Daniel Tianming Chen, Allen Tianle Chen, Haiyan Wang:
Simple and Fast Convolutional Neural Network Applied to Median Cross Sections for Predicting the Presence of MGMT Promoter Methylation in FLAIR MRI Scans. BrainLes@MICCAI (1) 2021: 227-238 - Yoonseok Choi, Mohammed A. Al-masni, Dong-Hyun Kim:
3D CMM-Net with Deeper Encoder for Semantic Segmentation of Brain Tumors in BraTS2021 Challenge. BrainLes@MICCAI (1) 2021: 333-343 - Alexander Chowdhury, Hasan Kassem, Nicolas Padoy, Renato Umeton, Alexandros Karargyris:
A Review of Medical Federated Learning: Applications in Oncology and Cancer Research. BrainLes@MICCAI (1) 2021: 3-24 - Zhenzhen Dai, Ning Wen, Eric Nathan Carver:
Brain Tumor Segmentation Using Non-local Mask R-CNN and Single Model Ensemble. BrainLes@MICCAI (1) 2021: 239-248 - Marc Demoustier, Ines Khemir, Quoc Duong Nguyen, Lucien Martin-Gaffé, Nicolas Boutry:
Residual 3D U-Net with Localization for Brain Tumor Segmentation. BrainLes@MICCAI (1) 2021: 389-399 - Polina Druzhinina, Ekaterina Kondrateva, Arseny Bozhenko, Vyacheslav Yarkin, Maxim Sharaev, Anvar Kurmukov:
BRATS2021: Exploring Each Sequence in Multi-modal Input for Baseline U-net Performance. BrainLes@MICCAI (1) 2021: 194-203 - Vladimir S. Fonov, Pedro Rosa-Neto, D. Louis Collins:
3D MRI Brain Tumour Segmentation with Autoencoder Regularization and Hausdorff Distance Loss Function. BrainLes@MICCAI (1) 2021: 324-332 - 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:
Evaluating Glioma Growth Predictions as a Forward Ranking Problem. BrainLes@MICCAI (1) 2021: 100-111 - Ali Hatamizadeh, Vishwesh Nath, Yucheng Tang, Dong Yang, Holger R. Roth, Daguang Xu:
Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images. BrainLes@MICCAI (1) 2021: 272-284 - Nabil Jabareen, Soeren Lukassen:
Segmenting Brain Tumors in Multi-modal MRI Scans Using a 3D SegNet Architecture. BrainLes@MICCAI (1) 2021: 377-388 - Daniel M. Lang, Jan C. Peeken, Stephanie E. Combs, Jan J. Wilkens, Stefan Bartzsch:
A Video Data Based Transfer Learning Approach for Classification of MGMT Status in Brain Tumor MR Images. BrainLes@MICCAI (1) 2021: 306-314 - Yifan Li, Chao Li, Yiran Wei, Stephen J. Price, Carola-Bibiane Schönlieb, Xi Chen:
Adaptive Unsupervised Learning with Enhanced Feature Representation for Intra-tumor Partitioning and Survival Prediction for Glioblastoma. BrainLes@MICCAI (1) 2021: 124-139 - Zhaopei Li, Zhiqiang Shen, Jianhui Wen, Tian He, Lin Pan:
Automatic Brain Tumor Segmentation Using Multi-scale Features and Attention Mechanism. BrainLes@MICCAI (1) 2021: 216-226 - Wen-Wei Lin, Tiexiang Li, Tsung-Ming Huang, Jia-Wei Lin, Mei-Heng Yueh, Shing-Tung Yau:
A Two-Phase Optimal Mass Transportation Technique for 3D Brain Tumor Detection and Segmentation. BrainLes@MICCAI (1) 2021: 400-409 - Minh Sao Khue Luu, Evgeniy N. Pavlovskiy:
Cascaded Training Pipeline for 3D Brain Tumor Segmentation. BrainLes@MICCAI (1) 2021: 410-420 - Jun Ma, Jianan Chen:
NnUNet with Region-based Training and Loss Ensembles for Brain Tumor Segmentation. BrainLes@MICCAI (1) 2021: 421-430 - Felix Meissen, Georgios Kaissis, Daniel Rueckert:
Challenging Current Semi-supervised Anomaly Segmentation Methods for Brain MRI. BrainLes@MICCAI (1) 2021: 63-74 - Alexandre Milesi, Michal Futrega, Michal Marcinkiewicz, Pablo Ribalta:
Brain Tumor Segmentation Using Neural Network Topology Search. BrainLes@MICCAI (1) 2021: 366-376 - Timothy Sum Hon Mun, Simon J. Doran, Paul Huang, Christina Messiou, Matthew D. Blackledge:
Multi Modal Fusion for Radiogenomics Classification of Brain Tumor. BrainLes@MICCAI (1) 2021: 344-355 - Jay B. Patel, Ken Chang, Syed Rakin Ahmed, Ikbeom Jang, Jayashree Kalpathy-Cramer:
Opportunities and Challenges for Deep Learning in Brain Lesions. BrainLes@MICCAI (1) 2021: 25-36 - Linmin Pei, Yanling Liu:
Multimodal Brain Tumor Segmentation Using a 3D ResUNet in BraTS 2021. BrainLes@MICCAI (1) 2021: 315-323 - Himashi Peiris, Zhaolin Chen, Gary F. Egan, Mehrtash Harandi:
Reciprocal Adversarial Learning for Brain Tumor Segmentation: A Solution to BraTS Challenge 2021 Segmentation Task. BrainLes@MICCAI (1) 2021: 171-181 - Guillaume Pelluet, Mira Rizkallah, Oscar Acosta, Diana Mateus:
Unsupervised Multimodal Supervoxel Merging Towards Brain Tumor Segmentation. BrainLes@MICCAI (1) 2021: 88-99 - Md Monibor Rahman, Md. Shibly Sadique, Ahmed G. Temtam, Walia Farzana, Lasitha Vidyaratne, Khan M. Iftekharuddin:
Brain Tumor Segmentation Using UNet-Context Encoding Network. BrainLes@MICCAI (1) 2021: 463-472 - Jianxun Ren, Wei Zhang, Ning An, Qingyu Hu, Youjia Zhang, Ying Zhou:
Ensemble Outperforms Single Models in Brain Tumor Segmentation. BrainLes@MICCAI (1) 2021: 451-462 - Johannes Roth, Johannes Keller, Stefan Franke, Thomas Neumuth, Daniel Schneider:
Multi-plane UNet++ Ensemble for Glioblastoma Segmentation. BrainLes@MICCAI (1) 2021: 285-294 - Abhinav Sagar:
EMSViT: Efficient Multi Scale Vision Transformer for Biomedical Image Segmentation. BrainLes@MICCAI (1) 2021: 39-51 - Camillo Saueressig, Adam Berkley, Reshma Munbodh, Ritambhara Singh:
A Joint Graph and Image Convolution Network for Automatic Brain Tumor Segmentation. BrainLes@MICCAI (1) 2021: 356-365
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