| 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 | 57 | 2017 |
| 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 | 22 | 2016 |
| TaxoNN: ensemble of neural networks on stratified microbiome data for disease prediction D Sharma, AD Paterson, W Xu Bioinformatics 36 (17), 4544-4550, 2020 | 21 | 2020 |
| phyLoSTM: a novel deep learning model on disease prediction from longitudinal microbiome data D Sharma, W Xu Bioinformatics 37 (21), 3707-3714, 2021 | 15 | 2021 |
| 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 | 12 | 2019 |
| High‐level feature aggregation for fine‐grained architectural floor plan retrieval D Sharma, C Chattopadhyay IET Computer Vision 12 (5), 702-709, 2018 | 12 | 2018 |
| 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 | 11 | 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 | 8 | 2022 |
| 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 | 7 | 2022 |
| 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 | 6 | 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 | 4 | 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 | 3 | 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 | 3 | 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 | 2 | 2019 |
| 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, 2023 | 1 | 2023 |
| 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, 2022 | 1 | 2022 |
| Integrating Genetics and Clinical Factors to Classify Non-alcoholic Fatty Liver Patients by Different Machine Learning Algorithms in UK Biobank Cohort J Chen, D Sharma, M Dong, M Bhat, S Keshavarzi GENETIC EPIDEMIOLOGY 46 (7), 506-506, 2022 | | 2022 |
| MACHINE LEARNING APPROACH TO PREDICT CARDIOVASCULAR DISEASES IN PATIENTS WITH NAFLD IN THE UK BIOBANK COHORT N Gotlieb, D Sharma, M Farkouh, K Patel, W Xu, M Bhat HEPATOLOGY 74, 963A-964A, 2021 | | 2021 |
| A DEEP LEARNING FRAMEWORK FOR DYNAMIC DIAGNOSIS OF GRAFT FIBROSIS AFTER LIVER TRANSPLANTATION USING LONGITUDINAL DATA D Sharma, A Azhie, P Sheth, W Xu, M Bhat HEPATOLOGY 74, 869A-869A, 2021 | | 2021 |
| 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 | | 2021 |
Chiranjoy ChattopadhyayAssociate Professor, FLAME UniversityGeverifieerd e-mailadres voor flame.edu.in
