4 citations · 8 across the 3 of their papers we have counts for
5 papers · 1 filter
RadFormer: Transformers with Global-Local Attention for Interpretable and Accurate Gallbladder Cancer Detection
Soumen Basu, Mayank Gupta, Pratyaksha Rana +2
We propose a novel deep neural network architecture to learn interpretable representation for medical image analysis. Our architecture generates a global attention for region of in…
Surpassing the Human Accuracy: Detecting Gallbladder Cancer from USG Images with Curriculum Learning
Soumen Basu, Mayank Gupta, Pratyaksha Rana +2
We explore the potential of CNN-based models for gallbladder cancer (GBC) detection from ultrasound (USG) images as no prior study is known. USG is the most common diagnostic modal…
A Supervised Learning Approach for Robust Health Monitoring using Face Videos
Mayank Gupta, Lingjun Chen, Denny Yu +1
Monitoring of cardiovascular activity is highly desired and can enable novel applications in diagnosing potential cardiovascular diseases and maintaining an individual's well-being…
Parametric Synthesis of Text on Stylized Backgrounds using PGGANs
Mayank Gupta, Abhinav Kumar, Sriganesh Madhvanath
We describe a novel method of generating high-resolution real-world images of text where the style and textual content of the images are described parametrically. Our method combin…
Compressive Light Field Reconstructions using Deep Learning
Mayank Gupta, Arjun Jauhari, Kuldeep Kulkarni +3
Light field imaging is limited in its computational processing demands of high sampling for both spatial and angular dimensions. Single-shot light field cameras sacrifice spatial r…