4 papers
RespireNet: A Deep Neural Network for Accurately Detecting Abnormal Lung Sounds in Limited Data Setting
Siddhartha Gairola, Francis Tom, Nipun Kwatra +1
Auscultation of respiratory sounds is the primary tool for screening and diagnosing lung diseases. Automated analysis, coupled with digital stethoscopes, can play a crucial role in…
Learning a Deep Convolution Network with Turing Test Adversaries for Microscopy Image Super Resolution
Francis Tom, Himanshu Sharma, Dheeraj Mundhra +2
Adversarially trained deep neural networks have significantly improved performance of single image super resolution, by hallucinating photorealistic local textures, thereby greatly…
UltraCompression: Framework for High Density Compression of Ultrasound Volumes using Physics Modeling Deep Neural Networks
Debarghya China, Francis Tom, Sumanth Nandamuri +4
Ultrasound image compression by preserving speckle-based key information is a challenging task. In this paper, we introduce an ultrasound image compression framework with the abili…
Simulating Patho-realistic Ultrasound Images using Deep Generative Networks with Adversarial Learning
Francis Tom, Debdoot Sheet
Ultrasound imaging makes use of backscattering of waves during their interaction with scatterers present in biological tissues. Simulation of synthetic ultrasound images is a chall…