Longitudinal multiple sclerosis lesion segmentation: resource and challenge A Carass, S Roy, A Jog, JL Cuzzocreo, E Magrath, A Gherman, J Button, ... NeuroImage 148, 77-102, 2017 | 318 | 2017 |
Longitudinal multiple sclerosis lesion segmentation using 3D convolutional neural networks S Vaidya, A Chunduru, R Muthuganapathy, G Krishnamurthi Proceedings of the 2015 longitudinal multiple sclerosis lesion segmentation …, 2015 | 39 | 2015 |
Unboxing AI-radiological insights into a deep neural network for lung nodule characterization VK Venugopal, K Vaidhya, M Murugavel, A Chunduru, V Mahajan, ... Academic radiology 27 (1), 88-95, 2020 | 33 | 2020 |
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 | 19 | 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 |
Towards radiologist-level malignancy detection on chest CT scans: a comparative study of the performance of convolutional neural networks and four thoracic radiologists V Venugopal, A Vaidya, A Ahuja, Y Singh, K Vaidhya, A Raj, V Mahajan, ... European Congress of Radiology-ECR 2019, 2019 | 1 | 2019 |
Establishing Normative Liver Volume and Attenuation for the Population of a Large Developing Country Using Deep Learning–A Retrospective Study of 1,800 CT Scans V Mahajan, V Venugopal, S Vaidya, A Chunduru, M Barnwal, S Gupta, ... European Congress of Radiology-ECR 2020, 2020 | | 2020 |
Non Invasive Pet-Ct Based Imaging Biomarkers To Predict Local Recurrences In Advanced Oral Cancers. S Vaidya, V Rao, SS Shivalingappa Journal of Cancer Research & Therapeutics 13, 2017 | | 2017 |
PET-CT Based Non-Invasive Radiomic Biomarkers as a Part of Precision Medicine Initiative to Predict Local Recurrences in Oral Cancers G Lohith, S Vaidya, S Swamy, V Rao, S Sampangi, KG Kallur, BA Kumar Biomedical Journal of Scientific & Technical Research 1 (3), 678-681, 2017 | | 2017 |