276 citations · 714 across the 20 of their papers we have counts for
4 papers · 1 filter
Learning Image Representations for Content Based Image Retrieval of Radiotherapy Treatment Plans
Charles Huang, Varun Vasudevan, Oscar Pastor-Serrano +7
Objective: Knowledge based planning (KBP) typically involves training an end-to-end deep learning model to predict dose distributions. However, training end-to-end methods may be a…
Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging
Rui Yan, Liangqiong Qu, Qingyue Wei +5
The collection and curation of large-scale medical datasets from multiple institutions is essential for training accurate deep learning models, but privacy concerns often hinder da…
L2B: Learning to Bootstrap Robust Models for Combating Label Noise
Yuyin Zhou, Xianhang Li, Fengze Liu +6
Deep neural networks have shown great success in representation learning. However, when learning with noisy labels (LNL), they can easily overfit and fail to generalize to new data…
Image Classification using Graph Neural Network and Multiscale Wavelet Superpixels
Varun Vasudevan, Maxime Bassenne, Md Tauhidul Islam +1
Prior studies using graph neural networks (GNNs) for image classification have focused on graphs generated from a regular grid of pixels or similar-sized superpixels. In the latter…