|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
|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
|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
|An Automated Workflow for Lung Nodule Follow-Up Recommendation Using Deep Learning|
KC Kaluva, K Vaidhya, A Chunduru, S Tarai, SPP Nadimpalli, S Vaidya
International Conference on Image Analysis and Recognition, 369-377, 2020
|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 2020, 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, ...
European Congress of Radiology 2019, 2019
|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
|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