| Recurrent sub-volume analysis of head CT scans for the detection of intracranial hemorrhage MS Vidya, Y Mallya, A Shastry, J Vijayananda Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 8 | 2019 |
| Automatic delineation of anterior and posterior cruciate ligaments by combining deep learning and deformable atlas based segmentation Y Mallya, J Vijayananda, MS Vidya, VK Venugopal, V Mahajan Medical Imaging 2019: Biomedical Applications in Molecular, Structural, and …, 2019 | 7 | 2019 |
| Local and global transformations to improve learning of medical images applied to chest radiographs MS Vidya, G Anirudh, SR Kundeti, J Vijayananda Medical imaging 2019: Image processing 10949, 813-821, 2019 | 6 | 2019 |
| The Transform-and-Perform framework: Explainable deep learning beyond classification V Prasad, RJG van Sloun, S van den Elzen, A Vilanova, N Pezzotti IEEE Transactions on Visualization and Computer Graphics, 2022 | 5 | 2022 |
| Automated detection of intracranial hemorrhage in noncontrast head computed tomography MS Vidya, AH Shastry, Y Mallya Advances in Computational Techniques for Biomedical Image Analysis, 71-98, 2020 | 5 | 2020 |
| Unraveling the Temporal Dynamics of the Unet in Diffusion Models V Prasad, C Zhu-Tian, A Vilanova, H Pfister, N Pezzotti, H Strobelt arXiv preprint arXiv:2312.14965, 2023 | | 2023 |
| Method and system for identifying abnormal images in a set of medical images VMS Prasad, SR Kundeti, V Jagannatha US Patent App. 17/922,809, 2023 | | 2023 |
| ProactiV: Studying deep learning model behavior under input transformations V Prasad, RJG van Sloun, A Vilanova, N Pezzotti IEEE Transactions on Visualization and Computer Graphics, 2023 | | 2023 |
| Identifying anatomical features V Madapusi Srinivas Prasad, Y Mallya, A Hedesse Shastry EP Patent App. EP4125049A1, 2023 | | 2023 |
| Method for updating a magnetic field map during a mri examination U Rudrapatna Suryanarayana, V Madapusi Srinivas Prasad, ... EP Patent App. EP4027161A1, 2022 | | 2022 |
| Method of predicting a field perturbation map for magnetic resonance imaging J Neelavalli, U Rudrapatna Suryanarayana, S S Thazhackal, ... WO Patent App. WO2022157051A1, 2022 | | 2022 |
| Automated system for rapid detection and indexing of critical regions in non-contrast head ct Y Mallya, VMS Prasad US Patent App. 17/599,080, 2022 | | 2022 |
| On the predictability of B0 maps at ultra-high fields using deep learning V Prasad, S S Thazhackal, A Srinivasan, S Saraswathy, J Neelavalli, ... Proc. Intl. Soc. Mag. Reson. Med 29, 3333, 2021 | | 2021 |
Nicola PezzottiDirector of Data Science, Philips Cardiologs - Assistant Professor, TU/eEmail verificata su philips.com
