| Random Forest Granger causality for detection of effective brain connectivity using high-dimensional data MS Furqan, MY Siyal Journal of integrative neuroscience 15 (01), 55-66, 2016 | 21 | 2016 |
| Genomic characterization of functional high-risk multiple myeloma patients CY Soekojo, TH Chung, MS Furqan, WJ Chng Blood Cancer Journal 12 (1), 24, 2022 | 17 | 2022 |
| Elastic-Net Copula Granger Causality for Inference of Biological Networks MS Furqan, MY Siyal PloS one 11 (10), e0165612, 2016 | 15 | 2016 |
| Granger causality: Comparative analysis of implementations for Gene Regulatory Networks MY Siyal, MS Furqan, SMG Monir 2014 13th International Conference on Control Automation Robotics & Vision …, 2014 | 10 | 2014 |
| Inference of biological networks using Bi-directional Random Forest Granger causality MS Furqan, MY Siyal Springerplus 5, 1-10, 2016 | 8 | 2016 |
| HoloVein—Mixed-Reality Venipuncture Aid via Convolutional Neural Networks and Semi-Supervised Learning KW Ng, MS Furqan, Y Gao, KY Ngiam, ET Khoo Electronics 12 (2), 292, 2023 | 3 | 2023 |
| Identifying the Genomic Profile of Functional High-Risk Multiple Myeloma Patients WJC Cinnie Yentia Soekojo, Tae-Hoon Chung, Muhammad Shaheryar Furqan Blood 136 (Supplement 1), 51-52, 2020 | 3 | 2020 |
| Validation of Harmless Acute Pancreatitis Score (HAPS) In a Tertiary Asian Medical Institute DWK Ng, Y Gao, MS Furqan, GK Bonney, AWC Kow, K Madhavan, ... HPB 21, S406-S407, 2019 | 2 | 2019 |
| Protein Map of Control Mice Exposed to Context Fear Using A Novel Implementation of Granger Causality MS Furqan, MY Siyal 2015 3rd International Conference on Artificial Intelligence, Modelling and …, 2015 | 2 | 2015 |
| Biological Network Detection using Forward Backward Pair-wise Granger Causality. MS Furqan, MY Siyal International Journal of Simulation--Systems, Science & Technology 17 (34), 2016 | 1 | 2016 |
| Gene Network Inference Using Forward Backward Pairwise Granger Causality MS Furqan, MY Siyal 2015 3rd International Conference on Artificial Intelligence, Modelling and …, 2015 | 1 | 2015 |
| Maternal and infant dietary patterns are not related to food allergy risk in Singapore children: GUSTO cohort study NHA Suaini, QY Koh, JY Toh, VX Soriano, MT Colega, C Riggioni, ... The Journal of nutrition, 2024 | | 2024 |
| Harnessing the power of artificial intelligence in predicting all-cause mortality in transcatheter aortic valve replacement: a systematic review and meta-analysis F Sazzad, AAL Ler, MS Furqan, LKZ Tan, HL Leo, I Kuntjoro, E Tay, ... Frontiers in Cardiovascular Medicine 11, 1343210, 2024 | | 2024 |
| Machine Learning to Predict Post Chemotherapy Hospitalisation in Older Asians M Li, MS Furqan, A Pang, J Low, M Ooi, YS Ng, C Choong, F Ho, J Tey, ... Journal of Geriatric Oncology 14 (8), S84, 2023 | | 2023 |
| 2159P Machine learning algorithms to predict the risk of chemotherapy-related toxicity in older Asians M Li, MS Furqan, SLA Pang, JL Low, C Choong, M Ooi, YS Ng, MZ Chen, ... Annals of Oncology 34, S1123, 2023 | | 2023 |
| PREVALENCE AND RISK FACTORS FOR ALLERGIC COMORBIDITIES IN AUSTRALIAN CHILDREN AND ASIAN CHILDREN LIVING IN SINGAPORE AND AUSTRALIA N Suiani, V Soriano, MS Furqan, R Peters, E Xiu-Ling Loo, A Lowe, ... Internal Medicine Journal 53, 33-33, 2023 | | 2023 |
| HoloPOCUS: Portable Mixed-Reality 3D Ultrasound Tracking, Reconstruction and Overlay KW Ng, Y Gao, MS Furqan, Z Yeo, J Lau, KY Ngiam, ET Khoo International Workshop on Advances in Simplifying Medical Ultrasound, 111-120, 2023 | | 2023 |
| Machine Learning Model In Acute Pancreatitis: Overcoming the Limitations with Prognostication Models Y Gao, SJN Sim, MS Furqan, S Rajragavan, CHN Tan, NQ Pang, ... HPB 24, S238, 2022 | | 2022 |
| Acute pancreatitis with or without cholangitis-Implications on antibiotic protocols Y Najim, Y Gao, MS Furqan, GK Bonney, AWC Kow, K Madhavan, SG Iyer HPB 21, S320-S321, 2019 | | 2019 |
Wee Joo ChngCancer Science Institute of SingaporeVerified email at nus.edu.sg
