| Stretchable graphene pressure sensors with Shar-Pei-like hierarchical wrinkles for collision-aware surgical robotics TH Chang, Y Tian, C Li, X Gu, K Li, H Yang, P Sanghani, CM Lim, H Ren, ... ACS applied materials & interfaces, 2019 | 114 | 2019 |
| Overall survival prediction in glioblastoma multiforme patients from volumetric, shape and texture features using machine learning P Sanghani, BT Ang, NKK King, H Ren Surgical oncology 27 (4), 709-714, 2018 | 89 | 2018 |
| ICHNet: Intracerebral Hemorrhage (ICH) Segmentation Using Deep Learning M Islam, P Sanghani, AAQ See, ML James, NKK King, H Ren International MICCAI Brainlesion Workshop, 456-463, 2018 | 38 | 2018 |
| Evaluation of tumor shape features for overall survival prognosis in glioblastoma multiforme patients P Sanghani, AB Ti, NKK King, H Ren Surgical Oncology, 2019 | 20 | 2019 |
| Regression based overall survival prediction of glioblastoma multiforme patients using a single discovery cohort of multi-institutional multi-channel MR images P Sanghani, BT Ang, NKK King, H Ren Medical & Biological Engineering & Computing, 1-9, 2019 | 8 | 2019 |
| Semi-Automated Segmentation of Glioblastomas in Brain MRI Using Machine Learning Techniques N Joseph, P Sanghani, H Ren 2017 16th IEEE International Conference on Machine Learning and Applications …, 2017 | 7 | 2017 |
| Comparative Study of Unsupervised Segmentation Algorithms for Delineating Glioblastoma Multiforme Tumour NSSK Suraj, V Muppalla, P Sanghani, H Ren 2018 3rd International Conference on Advanced Robotics and Mechatronics …, 2018 | 4 | 2018 |
| Comparison of fibroglandular tissue segmentation algorithms in breast MRI H Baluwala, P Sanghani, D Malcom, P Nielsen, M Nash Workshop MICCAI Breast Image Analysis, 105-112, 2015 | 4 | 2015 |
| Clavicle bone segmentation from CT images using U-Net-based deep learning algorithm P Sanghani, F Wong, H Ren Data Analytics in Biomedical Engineering and Healthcare, 205-214, 2021 | 1 | 2021 |
| MACHINE LEARNING BASED OVERALL SURVIVAL PREDICTION OF GLIOBLASTOMA MULTIFORME PATIENTS USING MAGNETIC RESONANCE IMAGE DERIVED FEATURES P SANGHANI | 1 | 2018 |
| Biomimetic Stretchable Sensor Resembling Shar-Pei Crumples with 2D Materials towards Collaborative Robotic Minimally Invasive Procedures P Sanghani, CJ Cai, TH Chang, B Delecourt, CM Lim, PY Chen, H Ren 2019 IEEE International Conference on Robotics and Biomimetics (ROBIO), 615-620, 2019 | | 2019 |
Hongliang RenChinese University of Hong Kong | National University of Singapore | JHU/Harvard(RF) | CUHK(PhD)在 jhu.edu 的电子邮件经过验证
