192 citations · 729 across the 35 of their papers we have counts for
7 papers · 1 filter
MaskTune: Mitigating Spurious Correlations by Forcing to Explore
Saeid Asgari Taghanaki, Aliasghar Khani, Fereshte Khani +4
A fundamental challenge of over-parameterized deep learning models is learning meaningful data representations that yield good performance on a downstream task without over-fitting…
CIRCLe: Color Invariant Representation Learning for Unbiased Classification of Skin Lesions
Arezou Pakzad, Kumar Abhishek, Ghassan Hamarneh
While deep learning based approaches have demonstrated expert-level performance in dermatological diagnosis tasks, they have also been shown to exhibit biases toward certain demogr…
FairDisCo: Fairer AI in Dermatology via Disentanglement Contrastive Learning
Siyi Du, Ben Hers, Nourhan Bayasi +2
Deep learning models have achieved great success in automating skin lesion diagnosis. However, the ethnic disparity in these models' predictions, where lesions on darker skin types…
A Survey on Deep Learning for Skin Lesion Segmentation
Zahra Mirikharaji, Kumar Abhishek, Alceu Bissoto +5
Skin cancer is a major public health problem that could benefit from computer-aided diagnosis to reduce the burden of this common disease. Skin lesion segmentation from images is a…
Multi-Sample -mixup: Richer, More Realistic Synthetic Samples from a -Series Interpolant
Kumar Abhishek, Colin J. Brown, Ghassan Hamarneh
Modern deep learning training procedures rely on model regularization techniques such as data augmentation methods, which generate training samples that increase the diversity of d…
Deep Multimodal Guidance for Medical Image Classification
Mayur Mallya, Ghassan Hamarneh
Medical imaging is a cornerstone of therapy and diagnosis in modern medicine. However, the choice of imaging modality for a particular theranostic task typically involves trade-off…