Unraveling Radiomics Complexity: Strategies for Optimal Simplicity in Predictive Modeling

no code implementations • 5 Jul 2024 • Mahdi Ait Lhaj Loutfi, Teodora Boblea Podasca, Alex Zwanenburg, Taman Upadhaya, Jorge Barrios, David R. Raleigh, William C. Chen, Dante P. I. Capaldi, Hong Zheng, Olivier Gevaert, Jing Wu, Alvin C. Silva, Paul J. Zhang, Harrison X. Bai, Jan Seuntjens, Steffen Löck, Patrick O. Richard, Olivier Morin, Caroline Reinhold, Martin Lepage, Martin Vallières

Purpose: Develop a methodology and tools to identify and explain the smallest set of predictive radiomic features.

Learning Low-Rank Feature for Thorax Disease Classification

no code implementations • 14 Feb 2024 • Rajeev Goel, Utkarsh Nath, Yancheng Wang, Alvin C. Silva, Teresa Wu, Yingzhen Yang

To address this challenge, we propose a novel Low-Rank Feature Learning (LRFL) method in this paper, which is universally applicable to the training of all neural networks.

Classification Self-Supervised Learning