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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

16 January 2024
N. Konz
Maciej Mazurowski
ArXivPDFHTML

Papers citing "The Effect of Intrinsic Dataset Properties on Generalization: Unraveling Learning Differences Between Natural and Medical Images"

9 / 9 papers shown
Title
Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers
Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers
Miriam Cobo
David Corral Fontecha
Wilson Silva
Lara Lloret Iglesias
OOD
MedIm
AI4CE
40
0
0
28 Apr 2025
Exploring Patient Data Requirements in Training Effective AI Models for MRI-based Breast Cancer Classification
Exploring Patient Data Requirements in Training Effective AI Models for MRI-based Breast Cancer Classification
Solha Kang
W. D. Neve
Francois Rameau
Utku Ozbulak
OOD
50
0
0
22 Feb 2025
Pre-processing and Compression: Understanding Hidden Representation
  Refinement Across Imaging Domains via Intrinsic Dimension
Pre-processing and Compression: Understanding Hidden Representation Refinement Across Imaging Domains via Intrinsic Dimension
N. Konz
Maciej Mazurowski
MedIm
14
0
0
15 Aug 2024
ConPro: Learning Severity Representation for Medical Images using
  Contrastive Learning and Preference Optimization
ConPro: Learning Severity Representation for Medical Images using Contrastive Learning and Preference Optimization
Hong Nguyen
H. Nguyen
Melinda Y. Chang
Hieu H. Pham
Shrikanth Narayanan
Michael Pazzani
27
0
0
29 Apr 2024
How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything Model
How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything Model
Han Gu
Haoyu Dong
Jichen Yang
Maciej Mazurowski
MedIm
VLM
80
14
0
15 Apr 2024
MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D
  biomedical image classification
MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification
Jiancheng Yang
Rui Shi
D. Wei
Zequan Liu
Lin Zhao
B. Ke
Hanspeter Pfister
Bingbing Ni
VLM
183
648
0
27 Oct 2021
The Intrinsic Dimension of Images and Its Impact on Learning
The Intrinsic Dimension of Images and Its Impact on Learning
Phillip E. Pope
Chen Zhu
Ahmed Abdelkader
Micah Goldblum
Tom Goldstein
197
260
0
18 Apr 2021
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
243
4,469
0
23 Jan 2020
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel Kochenderfer
AAML
231
1,837
0
03 Feb 2017
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