MedContext: Learning Contextual Cues for Efficient Volumetric Medical
Segmentation

MedContext: Learning Contextual Cues for Efficient Volumetric Medical Segmentation

27 February 2024

Muzammal Naseer

Fahad Khan

Salman Khan

Papers citing "MedContext: Learning Contextual Cues for Efficient Volumetric Medical Segmentation"

16 / 16 papers shown

Title
UNetFormer: A Unified Vision Transformer Model and Pre-Training Framework for 3D Medical Image Segmentation Ali Hatamizadeh Ziyue Xu Dong Yang Wenqi Li H. Roth Daguang Xu ViT MedIm 44 29 0 01 Apr 2022
Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images Ali Hatamizadeh V. Nath Yucheng Tang Dong Yang H. Roth Daguang Xu ViT MedIm 112 1,112 0 04 Jan 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 422 7,705 0 11 Nov 2021
The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification Ujjwal Baid S. Ghodasara S. Mohan Michel Bilello Evan Calabrese ... M. Weber A. Mahajan Bjoern Menze Adam Flanders Spyridon Bakas 116 629 0 05 Jul 2021
Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation Hu Cao Yueyue Wang Jieneng Chen Dongsheng Jiang Xiaopeng Zhang Qi Tian Manning Wang ViT MedIm 80 2,879 0 12 May 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 611 6,029 0 29 Apr 2021
UNETR: Transformers for 3D Medical Image Segmentation Ali Hatamizadeh Yucheng Tang Vishwesh Nath Dong Yang Andriy Myronenko Bennett Landman H. Roth Daguang Xu ViT MedIm 162 1,594 0 18 Mar 2021
Medical Transformer: Gated Axial-Attention for Medical Image Segmentation Jeya Maria Jose Valanarasu Poojan Oza Ilker Hacihaliloglu Vishal M. Patel ViT MedIm 94 983 0 21 Feb 2021
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation Yundong Zhang Huiye Liu Qiang Hu ViT MedIm 244 917 0 16 Feb 2021
BYOL works even without batch statistics Pierre Harvey Richemond Jean-Bastien Grill Florent Altché Corentin Tallec Florian Strub ... Samuel L. Smith Soham De Razvan Pascanu Bilal Piot Michal Valko SSL 283 115 0 20 Oct 2020
PGD-UNet: A Position-Guided Deformable Network for Simultaneous Segmentation of Organs and Tumors Ziqiang Li Hong Pan Yaping Zhu •. A. K. Qin 32 20 0 02 Jul 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 323 6,773 0 13 Jun 2020
Large Kernel Matters -- Improve Semantic Segmentation by Global Convolutional Network Chao Peng Xiangyu Zhang Gang Yu G. Luo Jian Sun VLM SSeg 97 1,489 0 08 Mar 2017
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 586 10,741 0 19 Feb 2017
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge A. Setio A. Traverso Thomas de Bel Moira S. N. Berens C. V. D. Bogaard ... Jef Vandemeulebroucke N. Walasek G. Zuidhof Bram van Ginneken Colin Jacobs 78 1,072 0 23 Dec 2016
Pyramid Scene Parsing Network Hengshuang Zhao Jianping Shi Xiaojuan Qi Xiaogang Wang Jiaya Jia VOS SSeg 504 11,984 0 04 Dec 2016