Leaf classification using marginalized shape context and shape+texture dual-path deep convolutional neural network. - Meet P. Shah; Sougata Singha; Suyash P. Awate (ICIP, 2017)

Abnormality detection using deep neural networks with robust quasi-norm autoencoding and semi-supervised learning. - Meet P. Shah; S. N. Merchant; Suyash P. Awate (ISBI, 2018)

MS-Net: Mixed-Supervision Fully-Convolutional Networks for Full-Resolution Segmentation. - Meet P. Shah; S. N. Merchant; Suyash P. Awate (MICCAI (4), 2018)

Annotation-cost Minimization for Medical Image Segmentation using Suggestive Mixed Supervision Fully Convolutional Networks. - Yash Bhalgat; Meet P. Shah; Suyash P. Awate (CoRR, 2018)

Cycle-Consistency for Robust Visual Question Answering. - Meet Shah 001; Xinlei Chen; Marcus Rohrbach; Devi Parikh (CVPR, 2019)

Towards VQA Models That Can Read. - Amanpreet Singh; Vivek Natarajan; Meet Shah 001; Yu Jiang; Xinlei Chen; Dhruv Batra; Devi Parikh; Marcus Rohrbach (CVPR, 2019)

LiRaNet: End-to-End Trajectory Prediction using Spatio-Temporal Radar Fusion. - Meet Shah 001; Zhiling Huang; Ankit Laddha; Matthew Langford; Blake Barber; Sida Zhang; Carlos Vallespi-Gonzalez; Raquel Urtasun (CoRL, 2020)

Conditional Entropy Coding for Efficient Video Compression. - Jerry Liu; Shenlong Wang; Wei-Chiu Ma; Meet Shah 001; Rui Hu 001; Pranaab Dhawan; Raquel Urtasun (ECCV (17), 2020)

Adaptation of a deep learning malignancy model from full-field digital mammography to digital breast tomosynthesis. - Sadanand Singh; Thomas Paul Matthews; Meet Shah 001; Brent Mombourquette; Trevor Tsue; Aaron Long; Ranya Almohsen; Stefano Pedemonte; Jason Su (Computer-Aided Diagnosis, 2020)

A Hypersensitive Breast Cancer Detector. - Stefano Pedemonte; Brent Mombourquette; Alexis Goh; Trevor Tsue; Aaron Long; Sadanand Singh; Thomas Paul Matthews; Meet Shah 001; Jason Su (CoRR, 2020)

A multi-site study of a breast density deep learning model for full-field digital mammography and digital breast tomosynthesis exams. - Thomas Paul Matthews; Sadanand Singh; Brent Mombourquette; Jason Su; Meet P. Shah; Stefano Pedemonte; Aaron Long; David Maffit; Jenny Gurney; Rodrigo Morales Hoil; Nikita Ghare; Douglas Smith; et al. (CoRR, 2020)

LiRaNet: End-to-End Trajectory Prediction using Spatio-Temporal Radar Fusion. - Meet Shah 001; Zhiling Huang; Ankit Laddha; Matthew Langford; Blake Barber; Sidney Zhang; Carlos Vallespi-Gonzalez; Raquel Urtasun (CoRR, 2020)

A deep learning algorithm for reducing false positives in screening mammography. - Stefano Pedemonte; Trevor Tsue; Brent Mombourquette; Yen Nhi Truong Vu; Thomas Paul Matthews; Rodrigo Morales Hoil; Meet Shah 001; Nikita Ghare; Naomi Zingman-Daniels; Susan Holley; Catherine M. Appleton; Jason Su; et al. (CoRR, 2022)