| Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018 | 1820 | 2018 |
| Brain tumor segmentation using dense fully convolutional neural network M Shaikh, G Anand, G Acharya, A Amrutkar, V Alex, G Krishnamurthi Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2018 | 76 | 2018 |
| Brain modeling for control: A review G Acharya, SF Ruf, E Nozari Frontiers in Control Engineering 3, 1046764, 2022 | 4 | 2022 |
| Collaborative multi-robot tasks using action primitives V Natarajan, A Kg, G Acharya, AS Baxi, RH Wouhaybi, WLM Huang US Patent App. 17/213,741, 2021 | 4 | 2021 |
| 3D convolution neural networks for molecular subtype prediction in glioblastoma multiforme M Khened, VK Anand, G Acharya, N Shah, G Krishnamurthi Medical Imaging 2019: Imaging Informatics for Healthcare, Research, and …, 2019 | 4 | 2019 |
| Training Collaborative Robots through User Demonstrations V Natarajan, G Acharya US Patent App. 17/201,443, 2021 | 2 | 2021 |
| Predictive modeling of evoked intracranial EEG response to medial temporal lobe stimulation in patients with epilepsy G Acharya, KA Davis, E Nozari bioRxiv, 2023.08. 07.552297, 2023 | 1 | 2023 |
| Methods and apparatus for complex assembly via autonomous robots using reinforcement learning action primitives V Natarajan, G Acharya, M Ramya, AS Baxi, KG Arjun, SM Vincent US Patent 11,345,030, 2022 | | 2022 |
| Network aware and predictive motion planning in mobile multi-robotics systems S Sudhakaran, G Acharya, A Baxi, D Cavalcanti, M Eisen, M Ramya, ... US Patent App. 17/210,886, 2021 | | 2021 |
Ganapathy KrishnamurthiAssociate Professor at IIT-MadrasBestätigte E-Mail-Adresse bei iitm.ac.in
