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Factorizer: A Scalable Interpretable Approach to Context Modeling for
  Medical Image Segmentation

Factorizer: A Scalable Interpretable Approach to Context Modeling for Medical Image Segmentation

24 February 2022
Pooya Ashtari
Diana Sima
L. De Lathauwer
D. Sappey-Marinier
F. Maes
Sabine Van Huffel
    ViT
    MedIm
ArXivPDFHTML

Papers citing "Factorizer: A Scalable Interpretable Approach to Context Modeling for Medical Image Segmentation"

11 / 11 papers shown
Title
DyCON: Dynamic Uncertainty-aware Consistency and Contrastive Learning for Semi-supervised Medical Image Segmentation
DyCON: Dynamic Uncertainty-aware Consistency and Contrastive Learning for Semi-supervised Medical Image Segmentation
Maregu Assefa
Muzammal Naseer
I. I. Ganapathi
Syed Sadaf Ali
Mohamed L Seghier
N. Werghi
22
0
0
06 Apr 2025
Deep Learning-Driven Segmentation of Ischemic Stroke Lesions Using Multi-Channel MRI
Deep Learning-Driven Segmentation of Ischemic Stroke Lesions Using Multi-Channel MRI
Ashiqur Rahman
M. Chowdhury
Md Sharjis Ibne Wadud
Rusab Sarmun
Adam Mushtak
S. Zoghoul
Israa Al-Hashimi
26
3
0
04 Jan 2025
FactorizePhys: Matrix Factorization for Multidimensional Attention in
  Remote Physiological Sensing
FactorizePhys: Matrix Factorization for Multidimensional Attention in Remote Physiological Sensing
Jitesh Joshi
Sos S. Agaian
Youngjun Cho
AI4TS
41
1
0
03 Nov 2024
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and
  Beyond: A Survey
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey
Rokas Gipiškis
Chun-Wei Tsai
Olga Kurasova
54
5
0
02 May 2024
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation:
  Generalizability and Clinical Utility Beyond the ISLES Challenge
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge
Ezequiel de la Rosa
Mauricio Reyes
S. Liew
Alexandre Hutton
Roland Wiest
...
Suprosanna Shit
M. H. Petzsche
Bjoern H. Menze
Jan S. Kirschke
Benedikt Wiestler
42
7
0
28 Mar 2024
Panoptica -- instance-wise evaluation of 3D semantic and instance
  segmentation maps
Panoptica -- instance-wise evaluation of 3D semantic and instance segmentation maps
Florian Kofler
Hendrik Möller
Josef A. Buchner
Ezequiel de la Rosa
Ivan Ezhov
...
Stefan K. Ehrlich
Annika Reinke
Bjoern H. Menze
Benedikt Wiestler
Marie Piraud
ISeg
20
7
0
05 Dec 2023
Large-kernel Attention for Efficient and Robust Brain Lesion
  Segmentation
Large-kernel Attention for Efficient and Robust Brain Lesion Segmentation
Liam Chalcroft
Ruben Lourencco Pereira
Mikael Brudfors
Andrew S. Kayser
M. D’Esposito
Cathy J. Price
Ioannis Pappas
John Ashburner
ViT
3DV
MedIm
19
8
0
14 Aug 2023
Improving Autoregressive NLP Tasks via Modular Linearized Attention
Improving Autoregressive NLP Tasks via Modular Linearized Attention
Victor Agostinelli
Lizhong Chen
22
1
0
17 Apr 2023
Is Attention Better Than Matrix Decomposition?
Is Attention Better Than Matrix Decomposition?
Zhengyang Geng
Meng-Hao Guo
Hongxu Chen
Xia Li
Ke Wei
Zhouchen Lin
54
137
0
09 Sep 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction
  without Convolutions
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
Wenhai Wang
Enze Xie
Xiang Li
Deng-Ping Fan
Kaitao Song
Ding Liang
Tong Lu
Ping Luo
Ling Shao
ViT
274
3,622
0
24 Feb 2021
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation
Yundong Zhang
Huiye Liu
Qiang Hu
ViT
MedIm
203
891
0
16 Feb 2021
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