1 citations · 1 across the 2 of their papers we have counts for
3 papers
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…
End-to-end deep learning inference with CMSSW via ONNX using docker
Purva Chaudhari, Shravan Chaudhari, Ruchi Chudasama +1
Deep learning techniques have been proven to provide excellent performance for a variety of high-energy physics applications, such as particle identification, event reconstruction…
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…