| 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 | 89 | 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 | 41 | 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 | 41 | 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 | 33 | 2016 |
| phyLoSTM: a novel deep learning model on disease prediction from longitudinal microbiome data D Sharma, W Xu Bioinformatics 37 (21), 3707-3714, 2021 | 28 | 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 | 25 | 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 | 22 | 2022 |
| 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 | 21 | 2019 |
| High‐level feature aggregation for fine‐grained architectural floor plan retrieval D Sharma, C Chattopadhyay IET Computer Vision 12 (5), 702-709, 2018 | 21 | 2018 |
| 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 | 16 | 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 | 12 | 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 | 9 | 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 | 8 | 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 | 6 | 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 | 3 | 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 | 2 | 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 | 2 | 2021 |
| 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 | 1 | 2024 |
| 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 | 1 | 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 | | 2024 |
Wei Xu, PhDProfessor of Biostatistics, University of Toronto在 uhnres.utoronto.ca 的电子邮件经过验证
