22 citations · 33 across the 8 of their papers we have counts for
4 papers · 1 filter
Shifting to Machine Supervision: Annotation-Efficient Semi and Self-Supervised Learning for Automatic Medical Image Segmentation and Classification
Pranav Singh, Raviteja Chukkapalli, Shravan Chaudhari +5
Advancements in clinical treatment are increasingly constrained by the limitations of supervised learning techniques, which depend heavily on large volumes of annotated data. The a…
Enhancing Medical Image Segmentation: Optimizing Cross-Entropy Weights and Post-Processing with Autoencoders
Pranav Singh, Luoyao Chen, Mei Chen +4
The task of medical image segmentation presents unique challenges, necessitating both localized and holistic semantic understanding to accurately delineate areas of interest, such…
Efficient Representation Learning for Healthcare with Cross-Architectural Self-Supervision
Pranav Singh, Jacopo Cirrone
In healthcare and biomedical applications, extreme computational requirements pose a significant barrier to adopting representation learning. Representation learning can enhance th…
Cross-Architectural Positive Pairs improve the effectiveness of Self-Supervised Learning
Pranav Singh, Jacopo Cirrone
Existing self-supervised techniques have extreme computational requirements and suffer a substantial drop in performance with a reduction in batch size or pretraining epochs. This…