| 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 | 479 | 2021 |
| 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 | 49 | 2021 |
| 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 | 38 | 2021 |
| 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 | 30 | 2021 |
| 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 | 28 | 2019 |
| 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 | 22 | 2017 |
| 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 | 13 | 2011 |
| 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 | 13 | 2008 |
| 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 | 6 | 2014 |
| 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 | 5 | 2008 |
| 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 | 3 | 2021 |
| Diffusion tensor image processing using biquaternions KK Nand, G Hamarneh, R Abugharbieh 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI), 538-541, 2012 | 3 | 2012 |
| 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 | 2 | 2024 |
| 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 | 2* | 2023 |
| 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 | 2 | 2019 |
| 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 | 2 | 2016 |
| Abstract No. 124 Quantitative analysis of tissue contraction and volume variability of lung microwave ablation zones A Dev, KN Keshavamurthy, R Salkin, G Maroun, E Alexander, S Solomon, ... Journal of Vascular and Interventional Radiology 33 (6), S58-S59, 2022 | 1 | 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 | 1 | 2021 |
| 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 | 1 | 2020 |
| A methodology to analyze treatment zone geometry and variability of percutaneous thermal ablation KN Keshava, BB Kimia, M Cook, DE Dupuy, SA Collins, D Merck Energy-based Treatment of Tissue and Assessment VIII 9326, 240-247, 2015 | 1 | 2015 |
