| Mapping connectomes with diffusion MRI: deterministic or probabilistic tractography? T Sarwar, K Ramamohanarao, A Zalesky Magnetic resonance in medicine 81 (2), 1368-1384, 2019 | 203 | 2019 |
| Structure-function coupling in the human connectome: A machine learning approach T Sarwar, Y Tian, BTT Yeo, K Ramamohanarao, A Zalesky NeuroImage 226, 117609, 2021 | 122 | 2021 |
| The secondary use of electronic health records for data mining: Data characteristics and challenges T Sarwar, S Seifollahi, J Chan, X Zhang, V Aksakalli, I Hudson, ... ACM Computing Surveys (CSUR) 55 (2), 1-40, 2022 | 97 | 2022 |
| Learning to optimise general TSP instances N Sultana, J Chan, T Sarwar, AK Qin International Journal of Machine Learning and Cybernetics 13 (8), 2213-2228, 2022 | 27 | 2022 |
| Wavelet denoising of multiframe optical coherence tomography data using similarity measures W Habib, T Sarwar, AM Siddiqui, I Touqir IET Image Processing 11 (1), 64-79, 2017 | 27 | 2017 |
| Towards deep learning for connectome mapping: A block decomposition framework T Sarwar, C Seguin, K Ramamohanarao, A Zalesky NeuroImage 212, 116654, 2020 | 17 | 2020 |
| A critical review of connectome validation studies T Sarwar, K Ramamohanarao, A Zalesky NMR in Biomedicine 34 (12), e4605, 2021 | 15 | 2021 |
| A cautionary note on the use of SIFT in pathological connectomes. A Zalesky, T Sarwar, K Ramamohanarao Magnetic Resonance in Medicine 83 (3), 2020 | 12 | 2020 |
| Structure-function coupling in the human connectome: A machine learning approach. NeuroImage, 226, Article 117609 T Sarwar, Y Tian, BTT Yeo, K Ramamohanarao, A Zalesky | 10 | 2020 |
| Requirements based testing of software T Sarwar, W Habib, F Arif 2013 Second International Conference on Informatics & Applications (ICIA …, 2013 | 10 | 2013 |
| Physical and digital phantoms for validating tractography and assessing artifacts I Drobnjak, P Neher, C Poupon, T Sarwar Neuroimage 245, 118704, 2021 | 9 | 2021 |
| Learning to optimise routing problems using policy optimisation N Sultana, J Chan, T Sarwar, AK Qin 2021 international joint conference on neural networks (IJCNN), 1-8, 2021 | 9 | 2021 |
| Super-resolution using edge modification through stationary wavelet transform F Arif, T Sarwar 2014 18th International Conference on Information Visualisation, 357-360, 2014 | 8 | 2014 |
| Evaluation of tractogram filtering methods using human-like connectome phantoms T Sarwar, K Ramamohanarao, A Daducci, S Schiavi, RE Smith, A Zalesky NeuroImage 281, 120376, 2023 | 7 | 2023 |
| Learning enhanced optimisation for routing problems N Sultana, J Chan, T Sarwar, B Abbasi, AK Qin arXiv preprint arXiv:2109.08345, 2021 | 4 | 2021 |
| Learning vehicle routing problems using policy optimisation N Sultana, J Chan, AK Qin, T Sarwar arXiv preprint arXiv:2012.13269, 2020 | 4 | 2020 |
| Development and validation of retrospective electronic frailty index using operational data of aged care homes T Sarwar, AJ Jimeno Yepes, X Zhang, J Chan, I Hudson, S Evans, ... BMC geriatrics 22 (1), 922, 2022 | 2 | 2022 |
| SIFT in pathological connectomes: Follow-up response to Smith and colleagues A Zalesky, T Sarwar, R Kotagiri Magn. Reson. Med 84, 2308-2311, 2020 | 2 | 2020 |
| An Efficient and Simplest Algorithm for Generating Diagrams T Sarwar, U Arif, WHS Zehra International Journal of Scientific & Engineering Research 2 (7), 2011 | 2 | 2011 |
| Automating The Diagram Generation Process T Sarwar, U Arif, W Habib, S Zehra International Journal of Scientific and Engineering Research 2 (7), 2011 | 2 | 2011 |