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Krishna Nand Keshava Murthy
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Federated learning for predicting clinical outcomes in patients with COVID-19
I Dayan, HR Roth, A Zhong, A Harouni, A Gentili, AZ Abidin, A Liu, ...
Nature medicine 27 (10), 1735-1743, 2021
4432021
Federated Learning used for predicting outcomes in SARS-COV-2 patients
M Flores, I Dayan, H Roth, A Zhong, A Harouni, A Gentili, A Abidin, A Liu, ...
Research Square, 2021
472021
Bag-of-words technique in natural language processing: a primer for radiologists
K Juluru, HH Shih, KN Keshava Murthy, P Elnajjar
Radiographics 41 (5), 1420-1426, 2021
342021
Integrating Al algorithms into the clinical workflow
K Juluru, HH Shih, KN Keshava Murthy, P Elnajjar, A El-Rowmeim, ...
Radiology: Artificial Intelligence 3 (6), e210013, 2021
272021
Comparison of radiographic approaches to assess treatment response in pituitary adenomas: is RECIST or RANO good enough?
BS Imber, AL Lin, Z Zhang, KN Keshavamurthy, AR Deipolyi, K Beal, ...
Journal of the Endocrine Society 3 (9), 1693-1706, 2019
272019
Machine learning algorithm for automatic detection of CT-identifiable hyperdense lesions associated with traumatic brain injury
KN Keshavamurthy, OP Leary, LH Merck, B Kimia, S Collins, DW Wright, ...
Medical Imaging 2017: Computer-Aided Diagnosis 10134, 630-638, 2017
192017
Detecting structure in diffusion tensor MR images
K Krishna Nand, R Abugharbieh, BG Booth, G Hamarneh
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2011: 14th …, 2011
132011
Enhancement of magnetic flux leakage images of defects in carbon steel using Eigen vector based approach
BPC Rao, S Thirunavukkarasu, K Krishna Nand, T Jayakumar, ...
Nondestructive Testing and Evaluation 23 (1), 35-42, 2008
132008
Clinically observed ablation volumes as compared to vendor specified volumes: the emperorʼs new clothes
DT Glidden, M Cook, S Collins, G Deshazer, K Nand, GL Baird, B Kimia, ...
Journal of Vascular and Interventional Radiology 3 (25), S76, 2014
52014
MAGNETIC FLUX LEAKAGE NDE USING GIANT MAGNETO‐RESISTIVE (GMR) SENSORS
WS Singh, BPC Rao, KK Nand, S Thirunavukkarasu, T Jayakumar, B Raj
AIP Conference Proceedings 975 (1), 857-864, 2008
42008
Weakly supervised pneumonia localization in chest X‐rays using generative adversarial networks
KN Keshavamurthy, C Eickhoff, K Juluru
Medical Physics 48 (11), 7154-7171, 2021
32021
Diffusion tensor image processing using biquaternions
KK Nand, G Hamarneh, R Abugharbieh
2012 9th IEEE International Symposium on Biomedical Imaging (ISBI), 538-541, 2012
32012
Application of deep learning techniques for characterization of 3D radiological datasets: a pilot study for detection of intravenous contrast in breast MRI
KN Keshavamurthy, P Elnajjar, A El-Rowmeim, HH Shih, I Pan, KG Do, ...
Medical Imaging 2019: Imaging Informatics for Healthcare, Research, and …, 2019
22019
Can we predict lung ablation success by power and location alone?
DE Dupuy, KNK Murthy, L Patel
Journal of vascular and interventional radiology: JVIR 27 (9), 1387-1388, 2016
22016
Preoperative CT and survival data for patients undergoing resection of colorectal liver metastases
AL Simpson, J Peoples, JM Creasy, G Fichtinger, N Gangai, ...
Scientific Data 11 (1), 172, 2024
12024
Building Blocks for Integrating Image Analysis Algorithms into a Clinical Workflow
K Juluru, HH Shih, P Elnajjar, A El-Rowmeim, J Fox, E Siegel, ...
medRxiv, 2020.03. 06.20027367, 2020
12020
Fast, light, and scalable: harnessing data-mined line annotations for automated tumor segmentation on brain MRI
NC Swinburne, V Yadav, KNK Murthy, P Elnajjar, HH Shih, PK Panyam, ...
European radiology 33 (9), 6582-6591, 2023
2023
Preoperative CT and Survival Data for Patients Undergoing Resection of Colorectal Liver Metastases (Colorectal-Liver-Metastases) (Version 2) [Data set]
RKG Simpson, A. L., Peoples, J., Creasy, J. M., Fichtinger, G., Gangai, N ...
The Cancer Imaging Archive, 2023
2023
Evaluation of an Integrated Spectroscopy and Classification Platform for Point-of-Care Core Needle Biopsy Assessment: Performance Characteristics from Ex Vivo Renal Mass Biopsies
KN Keshavamurthy, DV Dylov, S Yazdanfar, D Patel, T Silk, M Silk, ...
Journal of Vascular and Interventional Radiology 33 (11), 1408-1415. e3, 2022
2022
Federated Learning for Predicting Clinical Outcomes in COVID-19 Patients
I Dayan, H Roth, A Zhong, A Harouni, A Gentili, A Abidin, A Liu, AB Costa, ...
Nature Medicine, 2021
2021
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