BrainLes@MICCAI (1)

Keyphrases

Publications

volume 12962, 2022

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 BrainLes@MICCAI (1) 12962 (2022)

2021

Martin Zukovec, Lara Dular, Ziga Spiclin
Modeling Multi-annotator Uncertainty as Multi-class Segmentation Problem. BrainLes@MICCAI (1) (2021)
Felix Meissen, Georgios Kaissis, Daniel Rueckert
Challenging Current Semi-supervised Anomaly Segmentation Methods for Brain MRI. BrainLes@MICCAI (1) (2021)
Har Shwinder Singh
Brain Tumor Segmentation Using Attention Activated U-Net with Positive Mining. BrainLes@MICCAI (1) (2021)
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)
Zhenzhen Dai, Ning Wen, Eric Nathan Carver
Brain Tumor Segmentation Using Non-local Mask R-CNN and Single Model Ensemble. BrainLes@MICCAI (1) (2021)
Alex Wong, Allison Chen, Yangchao Wu, Safa Cicek, Alexandre Tiard, Byung-Woo Hong, Stefano Soatto
Small Lesion Segmentation in Brain MRIs with Subpixel Embedding. BrainLes@MICCAI (1) (2021)
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)
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)
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)
Yiran Wei, Yonghao Li, Xi Chen, Carola-Bibiane Schönlieb, Chao Li, Stephen J. Price
Predicting Isocitrate Dehydrogenase Mutation Status in Glioma Using Structural Brain Networks and Graph Neural Networks. BrainLes@MICCAI (1) (2021)
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)
Siddhesh P. Thakur, Sarthak Pati, Ravi Panchumarthy, Deepthi Karkada, Junwen Wu, Dmitry Kurtaev, Chiharu Sako, Prashant Shah, Spyridon Bakas
Optimization of Deep Learning Based Brain Extraction in MRI for Low Resource Environments. BrainLes@MICCAI (1) (2021)
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)
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)
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)
Baocai Yin, Hu Cheng, Fengyan Wang, Zengfu Wang
CA-Net: Collaborative Attention Network for Multi-modal Diagnosis of Gliomas. BrainLes@MICCAI (1) (2021)
Johannes Roth, Johannes Keller, Stefan Franke, Thomas Neumuth, Daniel Schneider
Multi-plane UNet++ Ensemble for Glioblastoma Segmentation. BrainLes@MICCAI (1) (2021)
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)
Ramy A. Zeineldin, Mohamed E. Karar, Franziska Mathis-Ullrich, Oliver Burgert
Ensemble CNN Networks for GBM Tumors Segmentation Using Multi-parametric MRI. BrainLes@MICCAI (1) (2021)
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)
Hua Yang, Zhiqiang Shen, Zhaopei Li, Jinqing Liu, Jinchao Xiao
Combining Global Information with Topological Prior for Brain Tumor Segmentation. BrainLes@MICCAI (1) (2021)
Alexandre Milesi, Michal Futrega, Michal Marcinkiewicz, Pablo Ribalta
Brain Tumor Segmentation Using Neural Network Topology Search. BrainLes@MICCAI (1) (2021)
Yang Yang, Shuhang Wei, Dingwen Zhang, Qingsen Yan, Shijie Zhao, Junwei Han
Hierarchical and Global Modality Interaction for Brain Tumor Segmentation. BrainLes@MICCAI (1) (2021)
Nabil Jabareen, Soeren Lukassen
Segmenting Brain Tumors in Multi-modal MRI Scans Using a 3D SegNet Architecture. BrainLes@MICCAI (1) (2021)
Camillo Saueressig, Adam Berkley, Reshma Munbodh, Ritambhara Singh
A Joint Graph and Image Convolution Network for Automatic Brain Tumor Segmentation. BrainLes@MICCAI (1) (2021)
Md Monibor Rahman, Md. Shibly Sadique, Ahmed Temtam, Walia Farzana, L. Vidyaratne, Khan M. Iftekharuddin
Brain Tumor Segmentation Using UNet-Context Encoding Network. BrainLes@MICCAI (1) (2021)
Minh Sao Khue Luu, Evgeniy N. Pavlovskiy
Cascaded Training Pipeline for 3D Brain Tumor Segmentation. BrainLes@MICCAI (1) (2021)
Gaurav Singh, Ashish Phophalia
Multimodal Brain Tumor Segmentation Using Modified UNet Architecture. BrainLes@MICCAI (1) (2021)
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)
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)
Jianxun Ren, Wei Zhang, Ning An, Qingyu Hu, Youjia Zhang, Ying Zhou
Ensemble Outperforms Single Models in Brain Tumor Segmentation. BrainLes@MICCAI (1) (2021)
Guillaume Pelluet, Mira Rizkallah, Oscar Acosta, Diana Mateus
Unsupervised Multimodal Supervoxel Merging Towards Brain Tumor Segmentation. BrainLes@MICCAI (1) (2021)
Quoc-Huy Trinh, Trong-Hieu Nguyen Mau, Radmir Zosimov, Minh-Van Nguyen
EfficientNet for Brain-Lesion Classification. BrainLes@MICCAI (1) (2021)
Agus Subhan Akbar, Chastine Fatichah, Nanik Suciati
Unet3D with Multiple Atrous Convolutions Attention Block for Brain Tumor Segmentation. BrainLes@MICCAI (1) (2021)
Jun Ma, Jianan Chen
NnUNet with Region-based Training and Loss Ensembles for Brain Tumor Segmentation. BrainLes@MICCAI (1) (2021)
Linmin Pei, Yanling Liu
Multimodal Brain Tumor Segmentation Using a 3D ResUNet in BraTS 2021. BrainLes@MICCAI (1) (2021)
Hung-Yu Wu, Youn-Long Lin
HarDNet-BTS: A Harmonic Shortcut Network for Brain Tumor Segmentation. BrainLes@MICCAI (1) (2021)
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)
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)
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)
Abhinav Sagar
EMSViT: Efficient Multi Scale Vision Transformer for Biomedical Image Segmentation. BrainLes@MICCAI (1) (2021)

volume 12658, 2021

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 I BrainLes@MICCAI (1) 12658 (2021)

2020

volume 11992, 2020

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 5th International Workshop, BrainLes 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Revised Selected Papers, Part I BrainLes@MICCAI (1) 11992 (2020)