K. Juluru

发表

Intra-abdominal pressure mechanism for stabilizing the lumbar spine.

J Cholewicki, S M McGill, J. Cholewicki, 1999, Journal of biomechanics.

Federated Learning used for predicting outcomes in SARS-COV-2 patients

Colin B. Compas, Yu Rim Lee, Mona G. Flores, 2021, Research square.

Lumbar spine stability can be augmented with an abdominal belt and/or increased intra-abdominal pressure

Manohar M. Panjabi, Krishna Juluru, Stuart M. McGill, 1999, European Spine Journal.

Radiologist-Level Performance by Using Deep Learning for Segmentation of Breast Cancers on MRI Scans

Eun Sook Ko, Danny F. Martinez, L. Parra, 2020, Radiology. Artificial intelligence.

Deep learning achieves radiologist-level performance at segmenting breast cancers on MRI

Eun Sook Ko, Danny F. Martinez, L. Parra, 2022 .

Rivaroxaban treatment of cancer‐associated venous thromboembolism: Memorial Sloan Kettering Cancer Center institutional experience

S. Devlin, J. Wills, K. Juluru, 2019, Research and practice in thrombosis and haemostasis.

Body magnetic resonance angiography.

M. Prince, K. Juluru, H. Zhang, 2009, Seminars in roentgenology.

MR imaging in patients at risk for developing nephrogenic systemic fibrosis: protocols, practices, and imaging techniques to maximize patient safety.

D. Bluemke, K. Macura, I. Kamel, 2009, Radiographics : a review publication of the Radiological Society of North America, Inc.

Computed Tomography Imaging of Gastrointestinal Stromal Tumors With Pathology Correlation

K. Horton, E. Fishman, K. Juluru, 2004, Journal of computer assisted tomography.

Standardized Reporting of Oncologic Response: Making Every Report Count.

V. Hatzoglou, M. Mayerhoefer, K. Juluru, 2022, Radiology. Imaging cancer.

Identification from MRI with Face-Recognition Software.

E. Siegel, K. Juluru, J. Mazura, 2020, The New England journal of medicine.

Semi-automated Quantification of Lung Density on Chest CT Used as a Predictive Biomarker of Pulmonary Venous Hypertension.

F. Lin, P. Kampaktsis, K. Juluru, 2016, Academic radiology.

Imaging in the Evaluation of Pulmonary Embolism

K. Juluru, J. Eng, 2011 .

Integrating AI Algorithms into the Clinical Workflow

Daniel L. Rubin, Krishna Juluru, Brad W. Genereaux, 2021, Radiology: Artificial Intelligence.

Implementation of a Point-of-Care Radiologist-Technologist Communication Tool in a Quality Assurance Program.

K. Juluru, P. Elnajjar, Leonard T Ong, 2017, AJR. American journal of roentgenology.

Long term follow up of kidney donors with asymptomatic renal stones

C. Hartono, K. Juluru, D. Serur, 2017, Nephrology.

Natural Language Processing in Radiology: Update on Clinical Applications.

A. Luna, K. Juluru, Pilar López-Úbeda, 2022, Journal of the American College of Radiology : JACR.

Optimizing 90Y Particle Density Improves Outcomes After Radioembolization

J. Humm, E. Ziv, M. Maybody, 2022, CardioVascular and Interventional Radiology.

An Informatics Approach to Facilitate Clinical Management of Patients With Retrievable Inferior Vena Cava Filters.

J. Durack, K. Juluru, P. Elnajjar, 2018, AJR. American journal of roentgenology.

Describing Disease-specific Reporting Guidelines: A Brief Guide for Radiologists.

M. Kohli, K. Juluru, M. Heilbrun, 2019, Radiographics : a review publication of the Radiological Society of North America, Inc.

Corticomedullary Strain Ratio

J. Rubin, W. Weitzel, K. Juluru, 2013, Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine.

Visualization and segmentation of liver tumors using dynamic contrast MRI

Krishna Juluru, Ashish Raj, A. Raj, 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Genomic Profiling Identifies Somatic Mutations Predicting Thromboembolic Risk in Patients with Solid Tumors.

Jianjiong Gao, A. Khorana, R. Levine, 2020, Blood.

High-Grade Serous Ovarian Cancer: Associations between BRCA Mutation Status, CT Imaging Phenotypes, and Clinical Outcomes.

H. Hricak, M. Gönen, E. Sala, 2017, Radiology.

Weakly supervised pneumonia localization in chest x-rays using generative adversarial networks.

K. Juluru, K. N. Keshavamurthy, C. Eickhoff, 2021, Medical physics.

Application of Deep Learning Techniques for Characterization of 3D Radiological Datasets - A Pilot Study for Detection of Intravenous Contrast in Breast MRI.

Ian Pan, Krishna Juluru, Krishna Nand Keshavamurthy, 2019, Proceedings of SPIE--the International Society for Optical Engineering.

Genomic Profiling Identifies Somatic Mutations Predicting Thromboembolic Risk in Patients with Solid Tumors

Jianjiong Gao, A. Khorana, R. Levine, 2020, medRxiv.

High-intensity sequencing reveals the sources of plasma circulating cell-free DNA variants

David R. Jones, M. Ladanyi, E. Hubbell, 2019, Nature Medicine.

Phase II Single-arm Study of Durvalumab and Tremelimumab with Concurrent Radiotherapy in Patients with Mismatch Repair–proficient Metastatic Colorectal Cancer

Y. Yamada, S. Solomon, J. Erinjeri, 2021, Clinical Cancer Research.

Federated learning for predicting clinical outcomes in patients with COVID-19

Colin B. Compas, Mona G. Flores, Xihong Lin, 2021, Nature Medicine.

Ultrasound strain elastography in assessment of cortical mechanical behavior in acute renal vein occlusion: in vivo animal model.

K. Juluru, R. Min, Ling-gang Cheng, 2015, Clinical imaging.

Sonographic Twinkling Artifact in a Renal Graft With Prolene Mesh

K. Juluru, B. Jeun, Claudia M Reuben, 2010, Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine.

Semiautomated CT-Based Quantification of Donor Kidney Volume Applied to a Predictive Model of Outcomes in Renal Transplantation.

C. Hartono, K. Juluru, D. Serur, 2015, AJR. American journal of roentgenology.

Transcatheter Arterial Chemoembolization of Liver Tumors: Effects of Embolization Protocol on Injectable Volume of Chemotherapy and Subsequent Arterial Patency

M. Choti, J. Geschwind, K. Juluru, 2003, CardioVascular and Interventional Radiology.

Fast, light, and scalable: harnessing data-mined line annotations for automated tumor segmentation on brain MRI

Benjamin E. Gross, Alice M. L. Santilli, Jianjiong Gao, 2023, European Radiology.

Semisupervised Training of a Brain MRI Tumor Detection Model Using Mined Annotations.

Jianjiong Gao, J. Lyo, A. Holodny, 2022, Radiology.

Automatic CAD of meniscal tears on MR imaging: a morphology-based approach

Chein-I Chang, Weimin Liu, Eliot L. Siegel, 2007, SPIE Medical Imaging.

Development and utilization of a web-based application as a robust radiology teaching tool (radstax) for medical student anatomy teaching.

Yun-Han Huang, Petro Kostandy, Krishna Juluru, 2015, Academic radiology.

Radiology Teaching Files: an Assessment of Their Role and Desired Features Based on a National Survey

William J. Weadock, Mia Gorovoy, Krishna Juluru, 2015, Journal of Digital Imaging.

Developing a radiology-based teaching approach for gross anatomy in the digital era.

Krishna Juluru, Donna Magid, D. Magid, 2010, Academic radiology.

High-intensity sequencing reveals the sources of plasma circulating cell-free DNA variants

M. Ladanyi, E. Hubbell, C. Rudin, 2019, Nature Medicine.

Implications of surface-rendered facial CT images in patient privacy.

Khan M. Siddiqui, Krishna Juluru, Ryan Moffitt, 2014, AJR. American journal of roentgenology.

Should Post-Processing Be Performed by the Radiologist?

Paul G. Nagy, Reuben Mezrich, Krishna Juluru, 2011, Journal of Digital Imaging.

The Potential of High Resolution Magnetic Resonance Microscopy in the Pathologic Analysis of Resected Breast and Lymph Tissue

D. Ballon, E. Morris, T. D’alfonso, 2015, Scientific Reports.

Diagnostic accuracy of intracellular uptake rates calculated using dynamic Gd‐EOB‐DTPA‐enhanced MRI for hepatic fibrosis stage

Pascal Spincemaille, Krishna Juluru, Steven P Sourbron, 2017, Journal of magnetic resonance imaging : JMRI.

Experiences of Health Departments on Community Engagement and Implementation of a COVID-19 Self-testing Program

R. Fleurence, K. Juluru, J. Ricaldi, 2022, Journal of public health management and practice : JPHMP.

A Mathematical Simulation to Assess Variability in Lung Nodule Size Measurement Associated With Nodule-Slice Position

John Eng, Sha He, Krishna Juluru, 2014, Journal of Digital Imaging.

Exposure to ionizing radiation during liver transplantation evaluation, waitlist time, and in the postoperative period: A cause for concern

S. Lee, J. Emond, K. Juluru, 2014, Hepatology.

Use of Spreadsheets for Research Data Collection and Preparation: A Primer.

John Eng, Krishna Juluru, K. Juluru, 2015, Academic radiology.

Facial Recognition Software Success Rates for the Identification of 3D Surface Reconstructed Facial Images: Implications for Patient Privacy and Security

Majnu John, Eliot L. Siegel, Jan C. Mazura, 2012, Journal of Digital Imaging.

Patterns of Metastatic Disease in Patients with Cancer Derived from Natural Language Processing of Structured CT Radiology Reports over a 10-year Period.

N. Schultz, H. Hricak, V. Sevilimedu, 2021, Radiology.

Effects of Increased Image Noise on Image Quality and Quantitative Interpretation in Brain CT Perfusion

J. Comunale, K. Juluru, P. Sanelli, 2013, American Journal of Neuroradiology.

Intestinal Dysbiosis and Markers of Systemic Inflammation in Viscerally and Generally Obese Persons Living With HIV.

Y. Taur, E. Pamer, Yuan-Shan Zhu, 2020, Journal of acquired immune deficiency syndromes.

Benign and tumor parenchyma metabolomic profiles affect compensatory renal growth in renal cell carcinoma surgical patients

Nimrod D. Rubinstein, P. Russo, O. Akin, 2017, PloS one.

Building Blocks for Integrating Image Analysis Algorithms into a Clinical Workflow

K. JULURU, H.-H. Shih, P. Elnajjar, 2020, medRxiv.

Internet-based radiology order-entry, reporting, and workflow management system for coordinating urgent study requests during off-hours.

John Eng, Krishna Juluru, K. Juluru, 2005, AJR. American journal of roentgenology.

Observer success rates for identification of 3D surface reconstructed facial images and implications for patient privacy and security

Eliot L. Siegel, Woojin Kim, Khan M. Siddiqui, 2007, SPIE Medical Imaging.