| Noninvasive molecular subtyping of pediatric low-grade glioma with self-supervised transfer learning D Tak, Z Ye, A Zapaischykova, Y Zha, A Boyd, S Vajapeyam, R Chopra, ... Radiology: Artificial Intelligence 6 (3), e230333, 2024 | 3 | 2024 |
| Path Tracing in holonomic drive system with Reduced Overshoot using rotary encoders D Tak, A Jain, PS Savnani, A Mecwan 2020 7th International Conference on Signal Processing and Integrated …, 2020 | 3 | 2020 |
| Modelling, Design and Control of a Four wheel Holonomic Drive PS Savnani, HS Sisodia, D Tak, A Mecwan 2020 7th International Conference on Signal Processing and Integrated …, 2020 | 3 | 2020 |
| IMG-06. IMAGING-BASED, TEMPORALIS MUSCLE THICKNESS AS A BIOMARKER IN CHILDREN WITH GLIOMAS A Zapaishchykova, D Tak, Z Ye, S Vajapeyam, C Smith, KX Liu, ... Neuro-Oncology 26 (Suppl 4), 0, 2024 | | 2024 |
| LGG-41. DECIPHERING PEDIATRIC LOW-GRADE GLIOMA TRAJECTORIES: DEEP LEARNING-BASED VOLUMETRICS FOR PATIENTS UNDER SURVEILLANCE JCC Pardo, A Zapaishchykova, A Boyd, D Tak, M Mahootiha, Z Ye, ... Neuro-Oncology 26 (Suppl 4), 0, 2024 | | 2024 |
| LGG-15. DEEP LEARNING ENABLES LONGITUDINAL RISK PREDICTION FOR PEDIATRIC LOW-GRADE GLIOMAS AFTER SURGERY D Tak, BA Garomsa, A Zapaishchykova, Z Ye, S Vajapeyam, M Mahootiha, ... Neuro-Oncology 26 (Suppl 4), 0, 2024 | | 2024 |
| Deciphering pediatric low-grade glioma trajectories: Deep learning–based volumetrics for patients under surveillance. JC Climent Pardo, A Zapaishchykova, A Boyd, D Tak, M Mahootiha, Z Ye, ... Journal of Clinical Oncology 42 (16_suppl), 2066-2066, 2024 | | 2024 |
| Diffusion deep learning for brain age prediction and longitudinal tracking in children through adulthood A Zapaishchykova, D Tak, Z Ye, KX Liu, J Likitlersuang, S Vajapeyam, ... Imaging Neuroscience 2, 1-14, 2024 | | 2024 |
| SynthBrainGrow: Synthetic Diffusion Brain Aging for Longitudinal MRI Data Generation in Young People A Zapaishchykova, BH Kann, D Tak, Z Ye, DA Haas-Kogan, HJWL Aerts arXiv preprint arXiv:2405.00682, 2024 | | 2024 |
| Longitudinal risk prediction for pediatric glioma with temporal deep learning D Tak, BA Garomsa, A Zapaishchykova, Z Ye, sridhar vajapeyam, ... medRxiv, 2024.06. 04.24308434, 2024 | | 2024 |
| SegmentationReview: A Slicer3D extension for fast review of AI-generated segmentations A Zapaishchykova, D Tak, A Boyd, Z Ye, HJWL Aerts, BH Kann Software Impacts 17, 100536, 2023 | | 2023 |
