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The Intrinsic Manifolds of Radiological Images and their Role in Deep
  Learning

The Intrinsic Manifolds of Radiological Images and their Role in Deep Learning

6 July 2022
Nicholas Konz
Han Gu
Haoyu Dong
Maciej A. Mazurowski
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "The Intrinsic Manifolds of Radiological Images and their Role in Deep Learning"

4 / 4 papers shown
Title
CheXLearner: Text-Guided Fine-Grained Representation Learning for Progression Detection
CheXLearner: Text-Guided Fine-Grained Representation Learning for Progression Detection
Yanjie Wang
Junwen Duan
Xinyu Li
Jianxin Wang
MedIm
87
0
0
11 May 2025
Evaluating Visual Explanations of Attention Maps for Transformer-based Medical Imaging
Minjae Chung
Jong Bum Won
Ganghyun Kim
Yujin Kim
Utku Ozbulak
MedIm
196
0
0
12 Mar 2025
The Effect of Intrinsic Dataset Properties on Generalization: Unraveling
  Learning Differences Between Natural and Medical Images
The Effect of Intrinsic Dataset Properties on Generalization: Unraveling Learning Differences Between Natural and Medical Images
Nicholas Konz
Maciej A. Mazurowski
62
7
0
16 Jan 2024
Reverse Engineering Breast MRIs: Predicting Acquisition Parameters
  Directly from Images
Reverse Engineering Breast MRIs: Predicting Acquisition Parameters Directly from Images
Nicholas Konz
Maciej A. Mazurowski
MedIm
102
7
0
08 Mar 2023
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