| The liver tumor segmentation benchmark (lits) P Bilic, P Christ, HB Li, E Vorontsov, A Ben-Cohen, G Kaissis, A Szeskin, ... Medical Image Analysis 84, 102680, 2023 | 970 | 2023 |
| 2D-densely connected convolution neural networks for automatic liver and tumor segmentation KC Kaluva, M Khened, A Kori, G Krishnamurthi arXiv preprint arXiv:1802.02182, 2018 | 73 | 2018 |
| LNDb challenge on automatic lung cancer patient management J Pedrosa, G Aresta, C Ferreira, G Atwal, HA Phoulady, X Chen, R Chen, ... Medical image analysis 70, 102027, 2021 | 20 | 2021 |
| An automated workflow for lung nodule follow-up recommendation using deep learning KC Kaluva, K Vaidhya, A Chunduru, S Tarai, SPP Nadimpalli, S Vaidya Image Analysis and Recognition: 17th International Conference, ICIAR 2020 …, 2020 | 10 | 2020 |
| 2D-densely connected convolution neural networks for automatic liver and tumor segmentation. arXiv 2018 KC Kaluva, M Khened, A Kori, G Krishnamurthi arXiv preprint arXiv:1802.02182, 2018 | 9 | 2018 |
| CardioNet: identification of fetal cardiac standard planes from 2D Ultrasound data KC Kaluva, C Shanthi, AK Thittai, G Krishnamurthi | 7 | 2018 |
| 2D-Densely Connected Convolution Neural Networks for automatic Liver and Tumor Segmentation K Chaitanya Kaluva, M Khened, A Kori, G Krishnamurthi arXiv e-prints, arXiv: 1802.02182, 2018 | | 2018 |
Ganapathy KrishnamurthiAssociate Professor at IIT-MadrasVerified email at iitm.ac.in
