Learning Brain Tumor Representation in 3D High-Resolution MR Images via
Interpretable State Space Models

Learning Brain Tumor Representation in 3D High-Resolution MR Images via Interpretable State Space Models

12 September 2024

Jiebo Luo

Benedikt Wiestler

Hongwei Bran Li

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Papers citing "Learning Brain Tumor Representation in 3D High-Resolution MR Images via Interpretable State Space Models"

18 / 18 papers shown

Title
VMamba: Visual State Space Model Yue Liu Yunjie Tian Yuzhong Zhao Hongtian Yu Lingxi Xie Yaowei Wang Qixiang Ye Jianbin Jiao Yunfan Liu Mamba 299 699 0 31 Dec 2024
Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality Tri Dao Albert Gu Mamba 114 532 0 31 May 2024
Liquid Structural State-Space Models Ramin Hasani Mathias Lechner Tsun-Hsuan Wang Makram Chahine Alexander Amini Daniela Rus AI4TS 147 105 0 26 Sep 2022
Long Range Language Modeling via Gated State Spaces Harsh Mehta Ankit Gupta Ashok Cutkosky Behnam Neyshabur Mamba 107 242 0 27 Jun 2022
On the Parameterization and Initialization of Diagonal State Space Models Albert Gu Ankit Gupta Karan Goel Christopher Ré 89 324 0 23 Jun 2022
Masked Autoencoders for Generic Event Boundary Detection CVPR'2022 Kinetics-GEBD Challenge Ruifei He Yuanxi Sun Youzeng Li Zuwei Huang Feng Hu Xu Cheng Jie Tang 73 3 0 17 Jun 2022
Diagonal State Spaces are as Effective as Structured State Spaces Ankit Gupta Albert Gu Jonathan Berant 119 311 0 27 Mar 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 477 7,819 0 11 Nov 2021
An Empirical Study of Training Self-Supervised Vision Transformers Xinlei Chen Saining Xie Kaiming He ViT 159 1,869 0 05 Apr 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows Ze Liu Yutong Lin Yue Cao Han Hu Yixuan Wei Zheng Zhang Stephen Lin B. Guo ViT 465 21,566 0 25 Mar 2021
Exploring Simple Siamese Representation Learning Xinlei Chen Kaiming He SSL 258 4,072 0 20 Nov 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 673 41,430 0 22 Oct 2020
HiPPO: Recurrent Memory with Optimal Polynomial Projections Albert Gu Tri Dao Stefano Ermon Atri Rudra Christopher Ré 126 533 0 17 Aug 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 398 6,837 0 13 Jun 2020
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination Zhirong Wu Yuanjun Xiong Stella X. Yu Dahua Lin SSL 182 3,466 0 05 May 2018
Context Encoders: Feature Learning by Inpainting Deepak Pathak Philipp Krahenbuhl Jeff Donahue Trevor Darrell Alexei A. Efros SSL 69 5,297 0 25 Apr 2016
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles M. Noroozi Paolo Favaro SSL 177 2,985 0 30 Mar 2016
Unsupervised Visual Representation Learning by Context Prediction Carl Doersch Abhinav Gupta Alexei A. Efros DRL SSL 169 2,789 0 19 May 2015