Jayashree Kalpathy–Cramer

MedicineComputer Science

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 1%percentile

20.9Author DataRank

Indexed papers

9in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 9 indexed papers attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

The RSNA International COVID-19 Open Radiology Database (RICORD)

Radiology(2021)10.1148/radiol.2021203957

Top 3%

6.4DataRank

Top 3%139 citations

Scott Simpson, Matthew P. Lungren, Michelle Hershman, Leonid Roshkovan, Errol Colak +18 more

Papers

Driven by 81 papers — median percentile 88. Top paper: “The RSNA International COVID-19 Open Radiology Database (RICORD)”.

The RSNA International COVID-19 Open Radiology Database (RICORD)

Radiology(2021)10.1148/radiol.2021203957

Top 3%

6.4DataRank

Top 3%139 citations

Scott Simpson, Matthew P. Lungren, Michelle Hershman, Leonid Roshkovan, Errol Colak +18 more

Artificial intelligence and radiologists in prostate cancer detection on MRI (PI-CAI): an international, paired, non-inferiority, confirmatory study

The Lancet Oncology(2024)10.1016/s1470-2045(24)00220-1

N/A

5.6DataRank · unranked

286 citations

Joeran Sander Bosma, Jasper J. Twilt, Bram van Ginneken, Anders Bjartell, Anwar R. Padhani +88 more

Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update

Radiology Artificial Intelligence(2024)10.1148/ryai.240300

Top 4%

5.0DataRank

Top 4%375 citations

Michail E. Klontzas, Anthony A. Gatti, John Mongan, Linda Moy, Seong Ho Park +75 more

Radiomics Repeatability Pitfalls in a Scan-Rescan MRI Study of Glioblastoma

Radiology Artificial Intelligence(2020)10.1148/ryai.2020190199

Top 8%

2.8DataRank

Top 8%53 citations

Jay Patel, Andrew Beers, Ken Chang, Praveer Singh, James M. Brown +6 more

Standardization in Quantitative Imaging: A Multicenter Comparison of Radiomic Features from Different Software Packages on Digital Reference Objects and Patient Data Sets

Tomography(2020)10.18383/j.tom.2019.00031

Top 9%

2.4DataRank

Top 9%75 citations

Sandy Napel, Arjun Jaggi, Sarah A. Mattonen, Lubomir M. Hadjiiski, Mark Muzi +24 more

Analysis of Stroke Detection during the COVID-19 Pandemic Using Natural Language Processing of Radiology Reports

American Journal of Neuroradiology(2020)10.3174/ajnr.a6961

Top 12%

1.8DataRank

Top 12%41 citations

Min Lang, Francis Deng, Ken Chang, Karen Buch, Sandra Rincon +4 more

3D Slicer as an image computing platform for the Quantitative Imaging Network

Magnetic Resonance Imaging(2012)10.1016/j.mri.2012.05.001

N/A

1.4DataRank · unranked

8645 citations

Reinhard Beichel, Jayashree Kalpathy-Cramer, Julien Finet, Jean-Christophe Fillion-Robin, Sonia Pujol +13 more

Breast Multiparametric MRI for Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer: The BMMR2 Challenge

Radiology Imaging Cancer(2024)10.1148/rycan.230033

Top 23%

0.878DataRank

Top 23%25 citations

Savannah C. Partridge, David C. Newitt, Jon A. Steingrimsson, Helga S. Marques, Patrick J. Bolan +27 more

Privacy preservation for federated learning in health care

Patterns(2024)10.1016/j.patter.2024.100974

N/A

0.767DataRank · unranked

165 citations

Sourav Kumar, A. Varma, Brandon Edwards, Charles Lu, Liangqiong Qu +10 more

Quantitative Imaging Informatics for Cancer Research

JCO Clinical Cancer Informatics(2020)10.1200/cci.19.00165

Top 29%

0.680DataRank

Top 29%15 citations

Reinhard Beichel, Jayashree Kalpathy–Cramer, David Clunie, Michael D. Onken, Jörg Riesmeier +16 more

Deepfakes in Ophthalmology

Ophthalmology Science(2021)10.1016/j.xops.2021.100079

N/A

0.598DataRank · unranked

53 citations

Aaron S. Coyner, R.V. Paul Chan, M. Elizabeth Hartnett, Darius M. Moshfeghi, Leah A. Owen +4 more

Multi-Institutional Assessment and Crowdsourcing Evaluation of Deep Learning for Automated Classification of Breast Density

Journal of the American College of Radiology(2020)10.1016/j.jacr.2020.05.015

N/A

0.593DataRank · unranked

51 citations

Andrew Beers, Laura Brink, Jay Patel, Praveer Singh, Nishanth Arun +11 more

Expert-centered Evaluation of Deep Learning Algorithms for Brain Tumor Segmentation

Radiology Artificial Intelligence(2023)10.1148/ryai.220231

Top 40%

0.476DataRank

Top 40%11 citations

Christopher P. Bridge, Sara Ahmed, Oluwatosin Akintola, Caroline Chung, Raymond Y. Huang +11 more

MICCAI Brain Tumor Segmentation (BraTS) 2020 Benchmark: "Prediction of Survival and Pseudoprogression"

Zenodo (CERN European Organization for Nuclear Research)(2020)10.5281/zenodo.3718904

Top 44%

0.420DataRank

Top 44%4 citations

Bjoern Menze, Christos Davatzikos, Jayashree Kalpathy–Cramer, Keyvan Farahani, Michel Bilello +18 more

COVID-19 Outpatient Screening: a Prediction Score for Adverse Events

medRxiv(2020)10.1101/2020.06.17.20134262

N/A

0.345DataRank · unranked

9 citations

Aayushee Jain, Michael J. Leone, Haitham Alabsi, Laura Brenner, Elissa Ye +22 more

Abnormal vascular structure and function within brain metastases is linked to pembrolizumab resistance

Neuro-Oncology(2023)10.1093/neuonc/noad236

N/A

0.323DataRank · unranked

6 citations

Kevin W Lou, Anita Giobbie‐Hurder, Ken Chang, Mishka Gidwani, Katharina Hoebel +38 more

Multi-Institutional Evaluation and Training of Breast Density Classification AI Algorithm Using ACR Connect and AI-LAB

Journal of the American College of Radiology(2024)10.1016/j.jacr.2024.11.003

N/A

0.208DataRank · unranked

3 citations

R. Romero, Laura P. Coombs, Mike Tilkin, Sina Mazaheri, Judy Wawira Gichoya +20 more

Stroke‐Related Visceral Alterations: A Voxel‐Based Neuroanatomic Localization Study

Annals of Neurology(2023)10.1002/ana.26785

N/A

0.208DataRank · unranked

3 citations

Ken Chang, Ahmed Tawakol, Marco L. Loggia, Joshua N. Goldstein, James M. Brown +8 more

Defining the optimal millimeter threshold for target lesion inclusion in the Response Assessment in Neuro-Oncology for Brain Metastases (RANO-BM) based on outcome prediction.

Journal of Clinical Oncology(2022)10.1200/jco.2022.40.16_suppl.e14003

N/A

0.104DataRank · unranked

1 citations

Ken Chang, Jay Biren Patel, Albert Eusik Kim, Elizabeth R. Gerstner, Raymond Y. Huang +2 more

Multi-Radiologist User Study for Artificial Intelligence-Guided Grading of COVID-19 Lung Disease Severity on Chest Radiographs

Academic Radiology(2021)10.1016/j.acra.2021.01.016

N/A

0DataRank · unranked

20 citations

Brent P. Little, Tarik K. Alkasab, Dexter P. Mendoza, Marc D. Succi, Jo-Anne O. Shepard +3 more

MR spectroscopic imaging predicts early response to anti-angiogenic therapy in recurrent glioblastoma

Neuro-Oncology Advances(2021)10.1093/noajnl/vdab060

N/A

0DataRank · unranked

14 citations

Mohamed E. El-Abtah, Daniel Kim, Jörg Dietrich, Melanie Fu, Michael Wenke +16 more

Basic Artificial Intelligence Techniques

Radiologic Clinics of North America(2021)10.1016/j.rcl.2021.06.005

N/A

0DataRank · unranked

14 citations

Jay Patel, Christopher P. Bridge, Ken Chang, Jayashree Kalpathy–Cramer

Severity of Chest Imaging is Correlated with Risk of Acute Neuroimaging Findings among Patients with COVID-19

American Journal of Neuroradiology(2021)10.3174/ajnr.a7032

N/A

0DataRank · unranked

13 citations

Matthew Li, Ke Jiang, Byung Chul Yoon, Dexter P. Mendoza, Efrén J. Flores +11 more

Automated Radiology-Arthroscopy Correlation of Knee Meniscal Tears Using Natural Language Processing Algorithms

Academic Radiology(2021)10.1016/j.acra.2021.01.017

N/A

0DataRank · unranked

13 citations

Francis Deng, Ken Chang, Jayashree Kalpathy–Cramer, Ambrose J. Huang, Matthew Li

Quantification of Early Neonatal Oxygen Exposure as a Risk Factor for Retinopathy of Prematurity Requiring Treatment

Ophthalmology Science(2021)10.1016/j.xops.2021.100070

N/A

0DataRank · unranked

12 citations

Jamie E. Anderson, Aaron S. Coyner, Susan Ostmo, Kemal Sönmez, Deniz Erdoğmuş +10 more

RSNA-MICCAI Panel Discussion: Machine Learning for Radiology from Challenges to Clinical Applications

Radiology Artificial Intelligence(2021)10.1148/ryai.2021210118

N/A

0DataRank · unranked

11 citations

Jayashree Kalpathy–Cramer, Adam E. Flanders, Marius George Linguraru, John Mongan

Radiology Implementation Considerations for Artificial Intelligence (AI) Applied to COVID-19, From the AJR Special Series on AI Applications

American Journal of Roentgenology(2021)10.2214/ajr.21.26717

N/A

0DataRank · unranked

9 citations

Ken Chang, Xueyan Mei, Adam Bernheim, Michael Chung, Sharon Steinberger +3 more

Deep learning models for COVID-19 chest x-ray classification: Preventing shortcut learning using feature disentanglement

medRxiv(2021)10.1101/2021.02.11.20196766

N/A

0DataRank · unranked

12 citations

Anusua Trivedi, Marian Blazes, Anthony Ortiz, Jocelyn Desbiens, Sunil Gupta +7 more

Improving the repeatability of deep learning models with Monte Carlo dropout

npj Digital Medicine(2022)10.1038/s41746-022-00709-3

N/A

0DataRank · unranked

95 citations

Katharina Hoebel, Christopher P. Bridge, Brian Befano, Sílvia de Sanjosé, Didem Egemen +5 more

Artificial Intelligence for Retinopathy of Prematurity

Ophthalmology(2022)10.1016/j.ophtha.2022.02.008

N/A

0DataRank · unranked

57 citations

Michael F. Chiang, Jimmy Chen, Darius M. Moshfeghi, Eric Nudleman, Paisan Ruambivoonsuk +48 more

Synthetic Medical Images for Robust, Privacy-Preserving Training of Artificial Intelligence

Ophthalmology Science(2022)10.1016/j.xops.2022.100126

N/A

0DataRank · unranked

53 citations

Jimmy Chen, Ken Chang, Praveer Singh, Susan Ostmo, R.V. Paul Chan +4 more

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation – Analysis of Ranking Scores and Benchmarking Results

The Journal of Machine Learning for Biomedical Imaging(2022)10.59275/j.melba.2022-354b

N/A

0DataRank · unranked

53 citations

Angelos Filos, Ujjwal Baid, Chiharu Sako, Richard McKinley, Michael Rebsamen +87 more

Federated Learning for Multicenter Collaboration in Ophthalmology

Ophthalmology Retina(2022)10.1016/j.oret.2022.03.005

N/A

0DataRank · unranked

36 citations

Charles Lu, Ken Chang, Praveer Singh, Aaron S. Coyner, James M. Brown +54 more

Federated Learning for Multicenter Collaboration in Ophthalmology

Ophthalmology Retina(2022)10.1016/j.oret.2022.02.015

N/A

0DataRank · unranked

41 citations

Adam Hanif, Praveer Singh, Ken Chang, Aaron S. Coyner, James M. Brown +54 more

Inconsistent Partitioning and Unproductive Feature Associations Yield Idealized Radiomic Models

Radiology(2022)10.1148/radiol.220715

N/A

0DataRank · unranked

29 citations

Ken Chang, Jay Biren Patel, Katharina Hoebel, Syed Rakin Ahmed, Praveer Singh +3 more

Evaluation of an Artificial Intelligence System for Retinopathy of Prematurity Screening in Nepal and Mongolia

Ophthalmology Science(2022)10.1016/j.xops.2022.100165

N/A

0DataRank · unranked

27 citations

Nita Valikodath, Tala Al-Khaled, Sanyam Bajimaya, Sagun KC, Tsengelmaa Chuluunbat +15 more

Highdicom: a Python Library for Standardized Encoding of Image Annotations and Machine Learning Model Outputs in Pathology and Radiology

Journal of Digital Imaging(2022)10.1007/s10278-022-00683-y

N/A

0DataRank · unranked

24 citations

Chris Gorman, Steven C. Pieper, Sean Doyle, Jochen K. Lennerz, Jayashree Kalpathy–Cramer +4 more

Variability in Plus Disease Diagnosis using Single and Serial Images

Ophthalmology Retina(2022)10.1016/j.oret.2022.05.024

N/A

0DataRank · unranked

12 citations

Shin Hae Park, Sang Jin Kim, Kai B. Kang, Nita Valikodath, Tala Al-Khaled +47 more

Deep learning models for COVID-19 chest x-ray classification: Preventing shortcut learning using feature disentanglement

PLoS ONE(2022)10.1371/journal.pone.0274098

N/A

0DataRank · unranked

20 citations

Caleb Robinson, Marian Blazes, Anthony Ortiz, Jocelyn Desbiens, Sunil Gupta +7 more

Assessing the Severity of COVID‐19 Lung Injury in Rheumatic Diseases Versus the General Population Using Deep Learning–Derived Chest Radiograph Scores

Arthritis Care & Research(2022)10.1002/acr.24883

N/A

0DataRank · unranked

8 citations

Kristin M. D’Silva, Matthew Li, Tiffany Hsu, Michael DiIorio, Xiaoqing Fu +10 more

Improved Training Efficiency for Retinopathy of Prematurity Deep Learning Models Using Comparison versus Class Labels

Ophthalmology Science(2022)10.1016/j.xops.2022.100122

N/A

0DataRank · unranked

5 citations

İlkay Yıldız, Peng Tian, Beyza Kalkanlı, Deniz Erdoğmuş, Stratis Ioannidis +8 more

External COVID-19 Deep Learning Model Validation on ACR AI-LAB: It’s a Brave New World

Journal of the American College of Radiology(2022)10.1016/j.jacr.2022.03.013

N/A

0DataRank · unranked

4 citations

Matthew Li, Pauley Chea, Jeremy R. Wortman, Adam Medina, Jayashree Kalpathy–Cramer +2 more

Toward fairness in artificial intelligence for medical image analysis: identification and mitigation of potential biases in the roadmap from data collection to model deployment

Journal of Medical Imaging(2023)10.1117/1.jmi.10.6.061104

N/A

0DataRank · unranked

133 citations

Weijie Chen, Judy Wawira Gichoya, Nicholas P. Gruszauskas, Jayashree Kalpathy–Cramer, Oluwasanmi Koyejo +7 more

Generative Artificial Intelligence Through ChatGPT and Other Large Language Models in Ophthalmology

Ophthalmology Science(2023)10.1016/j.xops.2023.100394

N/A

0DataRank · unranked

110 citations

Arun James Thirunavukarasu, J. Peter Campbell, Pearse A. Keane, Louis R. Pasquale, Michael D. Abràmoff +6 more

Artificial intelligence–based image analysis in clinical testing: lessons from cervical cancer screening

JNCI Journal of the National Cancer Institute(2023)10.1093/jnci/djad202

N/A

0DataRank · unranked

55 citations

Rebecca B. Perkins, Li C. Cheung, Brian Befano, Ana Cecilia Rodríguez, Kanan Desai +9 more

Collaborative Privacy-preserving Approaches for Distributed Deep Learning Using Multi-Institutional Data

Radiographics(2023)10.1148/rg.220107

N/A

0DataRank · unranked

41 citations

Sourav Kumar, Ken Chang, Charles Lu, Praveer Singh, Jayashree Kalpathy–Cramer +1 more

Design of the HPV-automated visual evaluation (PAVE) study: Validating a novel cervical screening strategy

eLife(2023)10.7554/elife.91469

N/A

0DataRank · unranked

29 citations

Rebecca B. Perkins, Nicole G. Campos, Federica Inturrisi, Didem Egemen, Brian Befano +14 more

Use of risk-based cervical screening programs in resource-limited settings

Cancer Epidemiology(2023)10.1016/j.canep.2023.102369

N/A

0DataRank · unranked

30 citations

Debi L. Smith, José Jerónimo, Nicole G. Campos, Julia C. Gage, Natasha Hansen +14 more

The RSNA Cervical Spine Fracture CT Dataset

Radiology Artificial Intelligence(2023)10.1148/ryai.230034

N/A

0DataRank · unranked

26 citations

Errol Colak, Tyler Richards, Felipe Kitamura, Luciano M. Prevedello, Jason F. Talbott +85 more

Epidemiologic Evaluation of Retinopathy of Prematurity Severity in a Large Telemedicine Program in India Using Artificial Intelligence

Ophthalmology(2023)10.1016/j.ophtha.2023.03.026

N/A

0DataRank · unranked

12 citations

Aaron S. Coyner, Aditi Gupta, Minn Oh, Parag K. Shah, Prema Subramanian +7 more

Oxygenation Fluctuations Associated with Severe Retinopathy of Prematurity

Ophthalmology Science(2023)10.1016/j.xops.2023.100417

N/A

0DataRank · unranked

11 citations

Brian K. Jordan, Brian Scottoline, Susan Ostmo, Aaron S. Coyner, Praveer Singh +6 more

Discrepancies in Diagnosis of Treatment-Requiring Retinopathy of Prematurity

Ophthalmology Retina(2023)10.1016/j.oret.2023.09.001

N/A

0DataRank · unranked

9 citations

Benjamin K. Young, Aaron S. Coyner, Susan Ostmo, R.V. Paul Chan, Jayashree Kalpathy–Cramer +50 more

Structural and functional vascular dysfunction within brain metastases is linked to pembrolizumab inefficacy

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.08.25.554868

N/A

0DataRank · unranked

0 citations

Kevin W Lou, Anita Giobbie‐Hurder, Ken Chang, Mishka Gidwani, Katharina Hoebel +38 more

Design of the HPV-Automated Visual Evaluation (PAVE) Study: Validating a Novel Cervical Screening Strategy

(2023)10.7554/elife.91469.1

N/A

0DataRank · unranked

0 citations

Rebecca B. Perkins, Nicole G. Campos, Federica Inturrisi, Didem Egemen, Brian Befano +14 more

Federated Learning in Glaucoma

Ophthalmology Glaucoma(2024)10.1016/j.ogla.2024.08.004

N/A

0DataRank · unranked

8 citations

Benton Chuter, Alexander Lieu, Praveer Singh, Jayashree Kalpathy–Cramer, Benjamin Y. Xu +5 more

Genome-wide association identifies novel ROP risk loci in a multiethnic cohort

Communications Biology(2024)10.1038/s42003-023-05743-9

N/A

0DataRank · unranked

7 citations

Leah A. Owen, Kent D. Taylor, Susan Ostmo, Yii‐Der Ida Chen, Aaron S. Coyner +55 more

Clinical evaluation of k-space correlation informed motion artifact detection in segmented multi-slice MRI

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition(2024)10.58530/2023/3425

N/A

0DataRank · unranked

1 citations

Malte Hoffmann, Nalini Singh, Yaël Balbastre, Lina Chen, Marcio Aloísio Bezerra Cavalcanti Rockenbach +6 more

Author Response: Design of the HPV-automated visual evaluation (PAVE) study: Validating a novel cervical screening strategy

(2024)10.7554/elife.91469.3.sa4

N/A

0DataRank · unranked

0 citations

Rebecca B. Perkins, Nicole G. Campos, Federica Inturrisi, Didem Egemen, Brain Befano +13 more

Assessing generalizability of an AI-based visual test for cervical cancer screening

UNC Libraries(2024)10.17615/ca6n-m327

N/A

0DataRank · unranked

0 citations

Rakiya Saidu, Rebecca Luckett, Kristin D Alfaro, MH Schiffman, Anisa Puspita R +14 more

Initial evaluation of a new cervical screening strategy combining human papillomavirus genotyping and automated visual evaluation: the Human Papillomavirus–Automated Visual Evaluation Consortium

JNCI Journal of the National Cancer Institute(2025)10.1093/jnci/djaf054

N/A

0DataRank · unranked

10 citations

Jayashree Kalpathy–Cramer, Didem Egemen, Federica Inturrisi, José Jerónimo, Ana Cecilia Rodríguez +52 more

Deep learning-based prediction of cardiopulmonary disease in retinal images of premature infants

medRxiv(2025)10.1101/2025.09.18.25336004

N/A

0DataRank · unranked

0 citations

Sourav Kumar, Riya Tyagi, Benjamin K. Young, Brian K. Jordan, Brian Scottoline +14 more

Patient-level forecasting of geographic atrophy with a biologically grounded Gompertz model

medRxiv(2025)10.1101/2025.10.02.25337187

N/A

0DataRank · unranked

0 citations

Steve McNamara, Yoga Advaith Veturi, Niranjan Manoharan, Talisa E. de Carlo, Scott Kinder +8 more

Segmentation and Classification in Digital Pathology for Glioma Research: Challenges and Deep Learning Approaches

UNC Libraries(2025)10.17615/k55d-nq81

N/A

0DataRank · unranked

0 citations

Qian Wang, Avinash Kori, Mahendra Khened, Tianhao Zhao, Keyvan Farahani +19 more

Consensus recommendations for a dynamic susceptibility contrast MRI protocol for use in high-grade gliomas

Neuro-Oncology(2020)10.1093/neuonc/noaa141

N/A

0DataRank · unranked

195 citations

C. Chad Quarles, Leland Hu, Bradley J. Erickson, Elizabeth R. Gerstner, Marion Smits +26 more

Automated Assessment and Tracking of COVID-19 Pulmonary Disease Severity on Chest Radiographs Using Convolutional Siamese Neural Networks

Radiology Artificial Intelligence(2020)10.1148/ryai.2020200079

N/A

0DataRank · unranked

157 citations

Nishanth Arun, Mishka Gidwani, Ken Chang, Francis Deng, Brent P. Little +8 more

Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging

npj Digital Medicine(2020)10.1038/s41746-020-0255-1

N/A

0DataRank · unranked

135 citations

Ken Chang, Ben Bearce, Connie Y. Chang, Ambrose J. Huang, J. Peter Campbell +9 more

Segmentation and Classification in Digital Pathology for Glioma Research: Challenges and Deep Learning Approaches

Frontiers in Neuroscience(2020)10.3389/fnins.2020.00027

N/A

0DataRank · unranked

98 citations

Spyridon Bakas, Xuhua Ren, Aditya Bagari, Alexandre Momeni, Yue Huang +19 more

Artificial Intelligence in Retinopathy of Prematurity Diagnosis

Translational Vision Science & Technology(2020)10.1167/tvst.9.2.5

N/A

0DataRank · unranked

91 citations

R.V. Paul Chan, Jayashree Kalpathy–Cramer, Michael F. Chiang, J. Peter Campbell, Brittni A. Scruggs

Evaluation of a Deep Learning–Derived Quantitative Retinopathy of Prematurity Severity Scale

Ophthalmology(2020)10.1016/j.ophtha.2020.10.025

N/A

0DataRank · unranked

70 citations

Sang Jin Kim, James M. Brown, Susan Ostmo, R.V. Paul Chan, Jayashree Kalpathy–Cramer +39 more

Accounting for data variability in multi-institutional distributed deep learning for medical imaging

Journal of the American Medical Informatics Association(2020)10.1093/jamia/ocaa017

N/A

0DataRank · unranked

63 citations

Ken Chang, Jayashree Kalpathy–Cramer, Daniel L. Rubin, Niranjan Balachandar

Thalamic neuroinflammation as a reproducible and discriminating signature for chronic low back pain

Pain(2020)10.1097/j.pain.0000000000002108

N/A

0DataRank · unranked

47 citations

Nicola Toschi, Daniel Albrecht, Ken Chang, Oluwaseun Akeju, Minhae Kim +8 more

CoVA: An Acuity Score for Outpatient Screening that Predicts Coronavirus Disease 2019 Prognosis

The Journal of Infectious Diseases(2020)10.1093/infdis/jiaa663

N/A

0DataRank · unranked

44 citations

Aayushee Jain, Michael J. Leone, Haitham Alabsi, Laura Brenner, Elissa Ye +22 more

Aggressive Posterior Retinopathy of Prematurity

Ophthalmology(2020)10.1016/j.ophtha.2020.01.052

N/A

0DataRank · unranked

42 citations

James M. Brown, Sang Jin Kim, I. Goldstein, Aaron S. Coyner, Susan Ostmo +6 more

Exercise‐induced calf muscle hyperemia: Rapid mapping of magnetic resonance imaging using deep learning approach

Physiological Reports(2020)10.14814/phy2.14563

N/A

0DataRank · unranked

12 citations

Christopher C. Conlin, Xiaowan Li, Gwenaël Layec, Ken Chang, Jayashree Kalpathy–Cramer +2 more

Head and neck cancer patient images for determining auto‐segmentation accuracy in T2‐weighted magnetic resonance imaging through expert manual segmentations

Medical Physics(2020)10.1002/mp.13942

N/A

0DataRank · unranked

41 citations

Abdallah Mohamed, Jinzhong Yang, Mark J. Gooding, Harini Veeraraghavan, Jayashree Kalpathy–Cramer +7 more

Automated assessment of COVID-19 pulmonary disease severity on chest radiographs using convolutional Siamese neural networks

medRxiv(2020)10.1101/2020.05.20.20108159

N/A

0DataRank · unranked

32 citations

Nishanth Arun, Mishka Gidwani, Ken Chang, Francis Deng, Brent P. Little +8 more

Improvement and Multi-Population Generalizability of a Deep Learning-Based Chest Radiograph Severity Score for COVID-19

medRxiv(2020)10.1101/2020.09.15.20195453

N/A

0DataRank · unranked

14 citations

Nishanth Arun, Mehak Aggarwal, Sharut Gupta, Praveer Singh, Brent P. Little +11 more

Advanced imaging to assess longitudinal vascular changes in brain metastases treated with immune checkpoint inhibition.

Journal of Clinical Oncology(2020)10.1200/jco.2020.38.15_suppl.2529

N/A

0DataRank · unranked

0 citations

Ken Chang, Andrew Beers, Kyrre E. Emblem, Jayashree Kalpathy–Cramer, Eudocia Q. Lee +15 more

Assessing the Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging

Radiology Artificial Intelligence(2021)10.1148/ryai.2021200267

N/A

0DataRank · unranked

277 citations

Nathan Gaw, Praveer Singh, Ken Chang, Mehak Aggarwal, Bryan Chen +8 more

Deep learning-based automatic tumor burden assessment of pediatric high-grade gliomas, medulloblastomas, and other leptomeningeal seeding tumors

Neuro-Oncology(2021)10.1093/neuonc/noab151

N/A

0DataRank · unranked

76 citations

Daniel D Kim, Jay Patel, Xiaowei Zeng, Jiaer Huang, Ken Chang +20 more

Single-Examination Risk Prediction of Severe Retinopathy of Prematurity

PEDIATRICS(2021)10.1542/peds.2021-051772

N/A

0DataRank · unranked

44 citations

Jimmy Chen, Praveer Singh, Robert L. Schelonka, Brian K. Jordan, Cindy T. McEvoy +8 more

Jayashree Kalpathy–Cramer

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