| Classification of the COVID-19 infected patients using DenseNet201 based deep transfer learning A Jaiswal, N Gianchandani, D Singh, V Kumar, M Kaur Journal of Biomolecular Structure and Dynamics 39 (15), 5682-5689, 2021 | 581 | 2021 |
| Rapid COVID-19 diagnosis using ensemble deep transfer learning models from chest radiographic images N Gianchandani, A Jaiswal, D Singh, V Kumar, M Kaur Journal of ambient intelligence and humanized computing, 1-13, 2023 | 132 | 2023 |
| Unsupervised domain adaptation of MRI skull-stripping trained on adult data to newborns A Omidi, A Mohammadshahi, N Gianchandani, R King, L Leijser, R Souza Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 8 | 2024 |
| A multitask deep learning model for voxel-level brain age estimation N Gianchandani, J Ospel, E MacDonald, R Souza International Workshop on Machine Learning in Medical Imaging, 283-292, 2023 | 2 | 2023 |
| Integration of Swin UNETR and statistical shape modeling for a semi-automated segmentation of the knee and biomechanical modeling of articular cartilage R Kakavand, M Palizi, P Tahghighi, R Ahmadi, N Gianchandani, S Adeeb, ... Scientific Reports 14 (1), 2748, 2024 | 1 | 2024 |
| Studying the Effects of Sex-Related Differences on Brain Age Prediction Using Brain MR Imaging M Dibaji, N Gianchandani, A Nair, M Singhal, R Souza, M Bento Workshop on Clinical Image-Based Procedures, 205-214, 2023 | 1 | 2023 |
| Automated segmentation of knee MR images for biomechanical modeling of the knee joint R Kakavand, M Palizi, N Gianchandani, S Adeeb, R Souza, WB Edwards, ... CMBES Proceedings 45, 2023 | 1 | 2023 |
| A voxel-level approach to brain age prediction: A quantitative method to assess regional brain aging N Gianchandani | | 2023 |
| A voxel-level approach to brain age prediction: A method to assess regional brain aging N Gianchandani, M Dibaji, J Ospel, F Vega, M Bento, ME MacDonald, ... arXiv preprint arXiv:2310.11385, 2023 | | 2023 |
| Reframing the Brain Age Prediction Problem to a More Interpretable and Quantitative Approach N Gianchandani, M Dibaji, M Bento, E MacDonald, R Souza arXiv preprint arXiv:2308.12416, 2023 | | 2023 |
Dr. Dilbag SinghNew York University, USAVerified email at nyulangone.org
