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Francis Tom

4 papers hereh-index 6322 citations8 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.SD1

identity via Semantic Scholar / OpenAlex

activity
20182020
collaborators

4 papers

cs.SD2020

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…

cs.CV2019

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…

cs.CV2019

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…

cs.CV2018

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…

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