Cross-Modality Deep Feature Learning for Brain Tumor Segmentation

Cross-Modality Deep Feature Learning for Brain Tumor Segmentation

7 January 2022

Dingwen Zhang

Jungong Han

Junwei Han

Papers citing "Cross-Modality Deep Feature Learning for Brain Tumor Segmentation"

18 / 18 papers shown

Title
sDREAMER: Self-distilled Mixture-of-Modality-Experts Transformer for Automatic Sleep Staging Jingyuan Chen Yuan Yao Mie Anderson Natalie Hauglund Celia Kjaerby Verena Untiet Maiken Nedergaard Jiebo Luo 116 2 0 28 Jan 2025
Adaptive feature recombination and recalibration for semantic segmentation with Fully Convolutional Networks Sérgio Pereira Adriano Pinto Joana Amorim Alexandrine Ribeiro Victor Alves Carlos Alberto Silva 75 63 0 19 Jun 2020
On the Efficacy of Knowledge Distillation Ligang He Rui Mao 94 609 0 03 Oct 2019
Global Planar Convolutions for improved context aggregation in Brain Tumor Segmentation Santi Puch Irina Sánchez Aura Hernández Gemma Piella V. Prčkovska 3DV 46 13 0 27 Aug 2019
3D MRI brain tumor segmentation using autoencoder regularization Andriy Myronenko 92 1,045 0 27 Oct 2018
No New-Net Fabian Isensee Philipp Kickingereder Wolfgang Wick Martin Bendszus Klaus H. Maier-Hein SSeg 85 400 0 27 Sep 2018
Recalibrating Fully Convolutional Networks with Spatial and Channel 'Squeeze & Excitation' Blocks Abhijit Guha Roy Nassir Navab Christian Wachinger SSeg 99 379 0 23 Aug 2018
CBAM: Convolutional Block Attention Module Sanghyun Woo Jongchan Park Joon-Young Lee In So Kweon 222 16,541 0 17 Jul 2018
Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge Fabian Isensee Philipp Kickingereder Wolfgang Wick Martin Bendszus Klaus H. Maier-Hein 126 495 0 28 Feb 2018
Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation Konstantinos Kamnitsas Wenjia Bai Enzo Ferrante Jingyu Sun Matthew Sinclair ... Martin Rajchl Matthew C. H. Lee Bernhard Kainz Daniel Rueckert Ben Glocker 3DV AAML OOD 67 436 0 04 Nov 2017
Automatic Brain Tumor Segmentation using Cascaded Anisotropic Convolutional Neural Networks Guotai Wang Wenqi Li Sebastien Ourselin Tom Vercauteren 70 481 0 01 Sep 2017
Conditional Adversarial Network for Semantic Segmentation of Brain Tumor Mina Rezaei Konstantin Harmuth Willi Gierke Thomas Kellermeier Martin Fischer Haojin Yang Christoph Meinel GAN MedIm 51 121 0 17 Aug 2017
On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task Wenqi Li Guotai Wang Lucas Fidon Sebastien Ourselin M. Jorge Cardoso Tom Vercauteren 3DV 93 339 0 06 Jul 2017
Perceptual Adversarial Networks for Image-to-Image Transformation Chaoyue Wang Chang Xu Chaohui Wang Dacheng Tao GAN 65 362 0 28 Jun 2017
Scalable multimodal convolutional networks for brain tumour segmentation Lucas Fidon Wenqi Li Luis C. Garcia-Peraza-Herrera J. Ekanayake N. Kitchen Sebastien Ourselin Tom Vercauteren 43 61 0 25 Jun 2017
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset João Carreira Andrew Zisserman 229 8,015 0 22 May 2017
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation Fausto Milletari Nassir Navab Seyed-Ahmad Ahmadi 219 8,681 0 15 Jun 2016
Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation Konstantinos Kamnitsas C. Ledig Virginia Newcombe Joanna P. Simpson A. D. Kane David Menon Daniel Rueckert Ben Glocker MedIm 3DV 132 3,057 0 18 Mar 2016