Divya Sharma
Divya Sharma
Assistant Professor, University of Toronto; Senior Biostatistician, UHN
Geverifieerd e-mailadres voor utoronto.ca - Homepage
Geciteerd door
Geciteerd door
Daniel: A deep architecture for automatic analysis and retrieval of building floor plans
D Sharma, N Gupta, C Chattopadhyay, S Mehta
2017 14th IAPR International Conference on Document Analysis and Recognition …, 2017
The promise of machine learning applications in solid organ transplantation
N Gotlieb, A Azhie, D Sharma, A Spann, NJ Suo, J Tran, ...
NPJ digital medicine 5 (1), 89, 2022
TaxoNN: ensemble of neural networks on stratified microbiome data for disease prediction
D Sharma, AD Paterson, W Xu
Bioinformatics 36 (17), 4544-4550, 2020
A unified framework for semantic matching of architectural floorplans
D Sharma, C Chattopadhyay, G Harit
2016 23rd international conference on pattern recognition (ICPR), 2422-2427, 2016
phyLoSTM: a novel deep learning model on disease prediction from longitudinal microbiome data
D Sharma, W Xu
Bioinformatics 37 (21), 3707-3714, 2021
Machine learning approach to classify cardiovascular disease in patients with nonalcoholic fatty liver disease in the UK Biobank Cohort
D Sharma, N Gotlieb, ME Farkouh, K Patel, W Xu, M Bhat
Journal of the American Heart Association 11 (1), e022576, 2022
Identifying clinical subtypes in sepsis-survivors with different one-year outcomes: a secondary latent class analysis of the FROG-ICU cohort
S Soussi, D Sharma, P Jüni, G Lebovic, L Brochard, JC Marshall, ...
Critical Care 26 (1), 114, 2022
High‐level feature aggregation for fine‐grained architectural floor plan retrieval
D Sharma, C Chattopadhyay
IET Computer Vision 12 (5), 702-709, 2018
A novel feature transform framework using deep neural network for multimodal floor plan retrieval
D Sharma, N Gupta, C Chiranjoy, S Mehta
International Journal on Document Analysis and Recognition (IJDAR), pp 1–13, 2019
Application of machine learning in liver transplantation: a review
J Tran, D Sharma, N Gotlieb, W Xu, M Bhat
Hepatology International 16 (3), 495-508, 2022
Distinctive clinical and genetic features of lean vs overweight fatty liver disease using the UK Biobank
D Chahal, D Sharma, S Keshavarzi, FAQ Arisar, K Patel, W Xu, M Bhat
Hepatology International 16 (2), 325-336, 2022
Effect of faecal microbial transplant via colonoscopy in patients with severe obesity and insulin resistance: A randomized double‐blind, placebo‐controlled Phase 2 trial
Y Ghorbani, KJP Schwenger, D Sharma, H Jung, J Yadav, W Xu, W Lou, ...
Diabetes, Obesity and Metabolism 25 (2), 479-490, 2023
A deep learning framework for personalised dynamic diagnosis of graft fibrosis after liver transplantation: a retrospective, single Canadian centre, longitudinal study
A Azhie, D Sharma, P Sheth, FA Qazi-Arisar, R Zaya, M Naghibzadeh, ...
The Lancet Digital Health 5 (7), e458-e466, 2023
Rexplore: A sketch based interactive explorer for real estates using building floor plan images
D Sharma, N Gupta, C Chattopadhyay, S Mehta
2018 IEEE International Symposium on Multimedia (ISM), 61-64, 2018
Attributed paths for layout-based document retrieval
D Sharma, G Harit, C Chattopadhyay
Document Analysis and Recognition: 4th Workshop, DAR 2018, Held in …, 2019
Development of diagnostic and prognostic molecular biomarkers in hepatocellular carcinoma using machine learning: A systematic review
A Brar, A Zhu, C Baciu, D Sharma, W Xu, A Orchanian‐Cheff, B Wang, ...
Liver Cancer International 3 (4), 141-161, 2022
Longitudinal microbiome and machine learning: a cnn-lstm based neural network model for disease prediction
D Sharma, W Xu
Genetic Epidemiology 45 (7), 788-789, 2021
Automatic Synthesis of Boolean Expression and Error Detection from Logic Circuit Sketches
S Dhiman, P Garg, D Sharma, C Chattopadhyay
Computer Vision, Pattern Recognition, Image Processing, and Graphics: 6th …, 2018
Deep Learning-Based Multimodal Clustering Model for Endotyping and Post-Arthroplasty Response Classification using Knee Osteoarthritis Subject-Matched Multi-Omic Data
JS Rockel, D Sharma, O Espin-Garcia, K Hueniken, A Sandhu, ...
medRxiv, 2024.06. 13.24308857, 2024
phylaGAN: data augmentation through conditional GANs and autoencoders for improving disease prediction accuracy using microbiome data
D Sharma, W Lou, W Xu
Bioinformatics 40 (4), btae161, 2024
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Artikelen 1–20