Suthirth Vaidya
Suthirth Vaidya
Predible Health
Verified email at prediblehealth.com
Title
Cited by
Cited by
Year
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
1152017
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
162015
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
12020
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
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
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
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
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
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