3 citations · 7 across the 7 of their papers we have counts for
3 papers · 1 filter
Focus on Texture: Rethinking Pre-training in Masked Autoencoders for Medical Image Classification
Chetan Madan, Aarjav Satia, Soumen Basu +3
Masked Autoencoders (MAEs) have emerged as a dominant strategy for self-supervised representation learning in natural images, where models are pre-trained to reconstruct masked pat…
FocusMAE: Gallbladder Cancer Detection from Ultrasound Videos with Focused Masked Autoencoders
Soumen Basu, Mayuna Gupta, Chetan Madan +2
In recent years, automated Gallbladder Cancer (GBC) detection has gained the attention of researchers. Current state-of-the-art (SOTA) methodologies relying on ultrasound sonograph…
Unsupervised Contrastive Learning of Image Representations from Ultrasound Videos with Hard Negative Mining
Soumen Basu, Somanshu Singla, Mayank Gupta +3
Rich temporal information and variations in viewpoints make video data an attractive choice for learning image representations using unsupervised contrastive learning (UCL) techniq…