1 citations · 3 across the 4 of their papers we have counts for
5 papers
Exploring Intrinsic Properties of Medical Images for Self-Supervised Binary Semantic Segmentation
Pranav Singh, Jacopo Cirrone
Recent advancements in self-supervised learning have unlocked the potential to harness unlabeled data for auxiliary tasks, facilitating the learning of beneficial priors. This has…
Free Form Medical Visual Question Answering in Radiology
Abhishek Narayanan, Rushabh Musthyala, Rahul Sankar +3
Visual Question Answering (VQA) in the medical domain presents a unique, interdisciplinary challenge, combining fields such as Computer Vision, Natural Language Processing, and Kno…
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…