Akshay Chaudhari

Also affiliated with Palo Alto University, Stanford Medicine, Stanford University

Medicine

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

9.4Author DataRank

Indexed papers

8in 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 8 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 International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset

Research at the University of Copenhagen (University of Copenhagen)(2021)10.1148/ryai.2021200078

Top 6%

3.6DataRank

Top 6%78 citations

Francesco Calivá, Claudia Iriondo, Aliasghar Mortazi, Sachin Jambawalikar, Ulaş Bağcı +25 more

Papers

Driven by 72 papers — median percentile 66. Top paper: “The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset”.

The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset

Research at the University of Copenhagen (University of Copenhagen)(2021)10.1148/ryai.2021200078

Top 6%

3.6DataRank

Top 6%78 citations

Francesco Calivá, Claudia Iriondo, Aliasghar Mortazi, Sachin Jambawalikar, Ulaş Bağcı +25 more

The KNee OsteoArthritis Prediction (KNOAP2020) challenge: An image analysis challenge to predict incident symptomatic radiographic knee osteoarthritis from MRI and X-ray images

Osteoarthritis and Cartilage(2022)10.1016/j.joca.2022.10.001

Top 9%

2.3DataRank

Top 9%60 citations

J. Runhaar, Rianne A. van der Heijden, Maryam Zokaeinikoo, Mingrui Yang, X. Li +27 more

Accuracy and longitudinal reproducibility of quantitative femorotibial cartilage measures derived from automated U-Net-based segmentation of two different MRI contrasts: data from the osteoarthritis initiative healthy reference cohort

Magnetic Resonance Materials in Physics Biology and Medicine(2020)10.1007/s10334-020-00889-7

Top 14%

1.5DataRank

Top 14%46 citations

F. Eckstein, Jana Kemnitz, Christian F. Baumgartner, Ender Konukoğlu, David Fuerst +2 more

A dataset and benchmark for hospital course summarization with adapted large language models

Journal of the American Medical Informatics Association(2024)10.1093/jamia/ocae312

Top 19%

1.1DataRank

Top 19%30 citations

Dave Van Veen, Yamin Arefeen, Jason Hom, Christian Blüthgen, Eduardo Pontes Reis +7 more

Detection of Differences in Longitudinal Cartilage Thickness Loss Using a Deep‐Learning Automated Segmentation Algorithm: Data From the Foundation for the National Institutes of Health Biomarkers Study of the Osteoarthritis Initiative

Arthritis Care & Research(2020)10.1002/acr.24539

N/A

0.903DataRank · unranked

39 citations

Akshay Chaudhari, David Fuerst, Martin Gaisberger, Jana Kemnitz, Christian F. Baumgartner +4 more

Validation of Deep Learning–based Augmentation for Reduced 18F-FDG Dose for PET/MRI in Children and Young Adults with Lymphoma

Radiology Artificial Intelligence(2021)10.1148/ryai.2021200232

N/A

0.858DataRank · unranked

20 citations

Florian Siedek, Ketan Yerneni, Anne M. Muehe, Sheri L. Spunt, Allison Pribnow +7 more

Towards automatic cartilage quantification in clinical trials – Continuing from the 2019 IWOAI knee segmentation challenge

Osteoarthritis Imaging(2023)10.1016/j.ostima.2023.100087

Top 48%

0.370DataRank

Top 48%7 citations

Arjun Desai, Cem M. Deniz, Haresh Rengaraj Rajamohan, Ravinder R. Regatte, Claudia Iriondo +17 more

Evaluation of an automated laminar cartilage T2 relaxation time analysis method in an early osteoarthritis model

Skeletal Radiology(2024)10.1007/s00256-024-04786-1

N/A

0.351DataRank · unranked

8 citations

S. Maschek, Anna Wisser, Jana Eder, Christian F. Baumgartner, Akshay Chaudhari +3 more

ShapeMed-Knee: A Dataset and Neural Shape Model Benchmark for Modeling 3D Femurs

IEEE Transactions on Medical Imaging(2024)10.1109/tmi.2024.3485613

Top 54%

0.312DataRank

Top 54%7 citations

Louis Blankemeier, Dave Van Veen, Brian A. Hargreaves, Scott L. Delp, Garry E. Gold +3 more

ShapeMed-Knee: A Dataset and Neural Shape Model Benchmark for Modeling 3D Femurs

medRxiv(2024)10.1101/2024.05.06.24306965

Top 61%

0.241DataRank

Top 61%4 citations

Louis Blankemeier, Dave Van Veen, Brian A. Hargreaves, Scott L. Delp, Garry E. Gold +3 more

Comparison between coronal FLASH and sagittal double echo steady state MRI in detecting longitudinal cartilage thickness change by fully automated segmentation – Data from the FNIH biomarker cohort

Osteoarthritis and Cartilage Open(2025)10.1016/j.ocarto.2025.100657

N/A

0.104DataRank · unranked

1 citations

Akshay Chaudhari, David J. Hunter, W. Wirth, F. Eckstein

Self-supervised learning for medical image classification: a systematic review and implementation guidelines

npj Digital Medicine(2023)10.1038/s41746-023-00811-0

N/A

0DataRank · unranked

419 citations

Anuj Pareek, Malte Jensen, Matthew P. Lungren, Serena Yeung, Akshay Chaudhari +1 more

OpenCap: Human movement dynamics from smartphone videos

PLoS Computational Biology(2023)10.1371/journal.pcbi.1011462

N/A

0DataRank · unranked

332 citations

Antoine Falisse, Łukasz Kidziński, Julie Muccini, Michael Ko, Akshay Chaudhari +3 more

Federated benchmarking of medical artificial intelligence with MedPerf

Nature Machine Intelligence(2023)10.1038/s42256-023-00652-2

N/A

0DataRank · unranked

153 citations

Renato Umeton, Micah Sheller, Alejandro Aristizábal, Johnu George, Anna Wuest +69 more

Association of Coronary Artery Calcium Detected by Routine Ungated CT Imaging With Cardiovascular Outcomes

Journal of the American College of Cardiology(2023)10.1016/j.jacc.2023.06.040

N/A

0DataRank · unranked

59 citations

Ramzi Dudum, Sneha S. Jain, David J. Maron, Bhavik N. Patel, Nishith Khandwala +5 more

A scoping review of portable sensing for out-of-lab anterior cruciate ligament injury prevention and rehabilitation

npj Digital Medicine(2023)10.1038/s41746-023-00782-2

N/A

0DataRank · unranked

38 citations

Anthony A. Gatti, Bingfei Fan, Kevin G. Shea, Seth L. Sherman, Scott D. Uhlrich +5 more

Opportunistic assessment of ischemic heart disease risk using abdominopelvic computed tomography and medical record data: a multimodal explainable artificial intelligence approach

Scientific Reports(2023)10.1038/s41598-023-47895-y

N/A

0DataRank · unranked

36 citations

Andrew L. Wentland, Arjun Desai, Imon Banerjee, Gurkiran Kaur, Ramón Correa +8 more

Patellar Tracking: An Old Problem with New Insights

Radiographics(2023)10.1148/rg.220177

N/A

0DataRank · unranked

30 citations

Tetyana Gorbachova, Russell C. Fritz, Sherif S. Saad, A.M. Lutz, J. Kim +5 more

Skeletal Muscle Area on CT: Determination of an Optimal Height Scaling Power and Testing for Mortality Risk Prediction

American Journal of Roentgenology(2023)10.2214/ajr.23.29889

N/A

0DataRank · unranked

17 citations

Lawrence Yao, Jin Long, Eduardo Pontes Reis, Leon Lenchik, Akshay Chaudhari +2 more

Improving Data-Efficiency and Robustness of Medical Imaging Segmentation Using Inpainting-Based Self-Supervised Learning

Bioengineering(2023)10.3390/bioengineering10020207

N/A

0DataRank · unranked

25 citations

Nandita Bhaskhar, Arjun Desai, Andrew Schmidt, Elka Rubin, Beliz Gunel +6 more

$$B_1$$ Field inhomogeneity correction for qDESS $$T_2$$ mapping: application to rapid bilateral knee imaging

Magnetic Resonance Materials in Physics Biology and Medicine(2023)10.1007/s10334-023-01094-y

N/A

0DataRank · unranked

3 citations

Lauren Watkins, Valentina Mazzoli, Arjun Desai, Elka Rubin, Andrew Schmidt +5 more

NEURAL SHAPE MODELS ENCODE BONE SHAPE FEATURES NOT CAPTURED BY STATISTICAL SHAPE MODELS

Osteoarthritis Imaging(2023)10.1016/j.ostima.2023.100101

N/A

0DataRank · unranked

1 citations

Feliks Kogan, Garry E. Gold, Scott L. Delp, Akshay Chaudhari, Anthony A. Gatti

AI in osteoarthritis: Illuminating the meandering path forward

Osteoarthritis and Cartilage(2023)10.1016/j.joca.2023.11.009

N/A

0DataRank · unranked

1 citations

Akshay Chaudhari

Clinical Text Summarization: Adapting Large Language Models Can Outperform Human Experts

Research Square(2023)10.21203/rs.3.rs-3483777/v1

N/A

0DataRank · unranked

96 citations

Cara Van Uden, Louis Blankemeier, Jean-Benoit Delbrouck, Asad Aali, Christian Bluethgen +14 more

Adapted Large Language Models Can Outperform Medical Experts in Clinical Text Summarization

arXiv (Cornell University)(2023)10.48550/arxiv.2309.07430

N/A

0DataRank · unranked

35 citations

Cara Van Uden, Louis Blankemeier, Jean-Benoit Delbrouck, Asad Aali, Christian Bluethgen +14 more

RadAdapt: Radiology Report Summarization via Lightweight Domain Adaptation of Large Language Models

arXiv (Cornell University)(2023)10.48550/arxiv.2305.01146

N/A

0DataRank · unranked

6 citations

Cara Van Uden, Maayane Attias, Anuj Pareek, Christian Bluethgen, Malgorzata Polacin +7 more

Exploring Image Augmentations for Siamese Representation Learning with Chest X-Rays

arXiv (Cornell University)(2023)10.48550/arxiv.2301.12636

N/A

0DataRank · unranked

5 citations

Nandita Bhaskhar, Daniel L. Rubin, Curtis P. Langlotz, Akshay Chaudhari, Rogier van der Sluijs

Self-Supervised Learning Improves Accuracy and Data Efficiency for IMU-Based Ground Reaction Force Estimation

London School of Economics and Political Science Research Online (London School of Economics and Political Science)(2023)10.1101/2023.10.25.564057

N/A

0DataRank · unranked

1 citations

Peter B. Shull, Jennifer L. Hicks, Scott D. Uhlrich, Akshay Chaudhari, Tian Tan

ViLLA: Fine-Grained Vision-Language Representation Learning from Real-World Data

arXiv (Cornell University)(2023)10.48550/arxiv.2308.11194

Top 100%

0DataRank

Top 100%0 citations

Jean-Benoit Delbrouck, Sarah Hooper, Akshay Chaudhari, Curtis P. Langlotz, Maya Varma

Adapted large language models can outperform medical experts in clinical text summarization

Nature Medicine(2024)10.1038/s41591-024-02855-5

N/A

0DataRank · unranked

680 citations

Cara Van Uden, Louis Blankemeier, Jean-Benoit Delbrouck, Asad Aali, Christian Bluethgen +14 more

Deep learning for accelerated and robust MRI reconstruction

Magnetic Resonance Materials in Physics Biology and Medicine(2024)10.1007/s10334-024-01173-8

N/A

0DataRank · unranked

104 citations

Mathews Jacob, Akshay Chaudhari, Or Perlman, Efrat Shimron, Reinhard Heckel

A vision–language foundation model for the generation of realistic chest X-ray images

Nature Biomedical Engineering(2024)10.1038/s41551-024-01246-y

N/A

0DataRank · unranked

93 citations

Pierre Chambon, Jean-Benoit Delbrouck, Rogier van der Sluijs, Malgorzata Polacin, Juan Manuel Zambrano Chaves +5 more

Multiscale hamstring muscle adaptations following 9 weeks of eccentric training

Journal of sport and health science/Journal of Sport and Health Science(2024)10.1016/j.jshs.2024.100996

N/A

0DataRank · unranked

42 citations

Anoosha Pai S, Reed D. Gurchiek, Patricio A. Pincheira, Akshay Chaudhari, Paul W. Hodges +3 more

Self-Supervised Learning Improves Accuracy and Data Efficiency for IMU-Based Ground Reaction Force Estimation

IEEE Transactions on Biomedical Engineering(2024)10.1109/tbme.2024.3361888

N/A

0DataRank · unranked

17 citations

Peter B. Shull, Jennifer L. Hicks, Scott D. Uhlrich, Akshay Chaudhari, Tian Tan

Automated abdominal CT contrast phase detection using an interpretable and open-source artificial intelligence algorithm

European Radiology(2024)10.1007/s00330-024-10769-6

N/A

0DataRank · unranked

13 citations

Louis Blankemeier, Juan Manuel Zambrano Chaves, Malte Engmann Kjeldskov Jensen, Sally Yao, César Augusto Madid Truyts +6 more

Reproducibility of Quantitative Double‐Echo Steady‐State T2 Mapping of Knee Cartilage

Journal of Magnetic Resonance Imaging(2024)10.1002/jmri.29431

N/A

0DataRank · unranked

7 citations

Jessica L. Asay, Daniella Asare, Arjun Desai, Garry E. Gold, Brian A. Hargreaves +3 more

Cartilage Imaging

Clinics in Sports Medicine(2024)10.1016/j.csm.2024.08.004

N/A

0DataRank · unranked

3 citations

Russell C. Fritz, Akshay Chaudhari, Robert D. Boutin, Eddy D. Zandee van Rilland

Missing Wedge Completion via Unsupervised Learning with Coordinate Networks

International Journal of Molecular Sciences(2024)10.3390/ijms25105473

N/A

0DataRank · unranked

7 citations

Jesús G. Galaz-Montoya, Liyue Shen, Philip R. Baldwin, Akshay Chaudhari, Dmitry Lyumkis +4 more

Three-dimensional spatial distribution of lumbar paraspinal intramuscular fat revealed by spatial parametric mapping

European Spine Journal(2024)10.1007/s00586-024-08559-1

N/A

0DataRank · unranked

3 citations

Evert Onno Wesselink, J. M. Gutierrez, Christine Law, Sean Mackey, John K. Ratliff +8 more

T2 Clusters Are More Sensitive Than Mean T2 Change to Detect Early and Longitudinal Changes in Anterior Cruciate Ligament Reconstructed and Healthy Knees

Journal of Magnetic Resonance Imaging(2024)10.1002/jmri.29689

N/A

0DataRank · unranked

2 citations

Anthony A. Gatti, Marianne S. Black, Katherine A. Young, Arjun Desai, Marco Barbieri +7 more

Merlin: A Vision Language Foundation Model for 3D Computed Tomography

Research Square(2024)10.21203/rs.3.rs-4546309/v1

N/A

0DataRank · unranked

57 citations

Joseph Cohen, Ashwin Kumar, Dave Van Veen, Syed Jamal Safdar Gardezi, Magda Paschali +26 more

GREEN: Generative Radiology Report Evaluation and Error Notation

(2024)10.18653/v1/2024.findings-emnlp.21

N/A

0DataRank · unranked

33 citations

Justin Xu, Zhihong Chen, Maya Varma, Louis Blankemeier, Christian Bluethgen +6 more

A Vision-Language Foundation Model to Enhance Efficiency of Chest X-ray Interpretation

arXiv (Cornell University)(2024)10.48550/arxiv.2401.12208

N/A

0DataRank · unranked

25 citations

Maya Varma, Xu, Justin, Magdalini Paschali, Dave Van Veen, Andrew Johnston +18 more

Marker Data Enhancement For Markerless Motion Capture

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.07.13.603382

N/A

0DataRank · unranked

10 citations

Scott D. Uhlrich, Akshay Chaudhari, Jennifer L. Hicks, Scott L. Delp, Antoine Falisse

Merlin: A Computed Tomography Vision-Language Foundation Model and Dataset

arXiv (Cornell University)(2024)10.48550/arxiv.2406.06512

N/A

0DataRank · unranked

9 citations

Ashwin Kumar, Joseph Cohen, Liu, Jiaming, Liu, Longchao, Dave Van Veen +35 more

Deep Learning for Accelerated and Robust MRI Reconstruction: a Review

arXiv (Cornell University)(2024)10.48550/arxiv.2404.15692

N/A

0DataRank · unranked

6 citations

Mathews Jacob, Akshay Chaudhari, Or Perlman, Efrat Shimron, Reinhard Heckel

GREEN: Generative Radiology Report Evaluation and Error Notation

arXiv (Cornell University)(2024)10.48550/arxiv.2405.03595

N/A

0DataRank · unranked

1 citations

Justin Xu, Zhihong Chen, Maya Varma, Louis Blankemeier, Christian Bluethgen +6 more

CheXalign: Preference fine-tuning in chest X-ray interpretation models without human feedback

arXiv (Cornell University)(2024)10.48550/arxiv.2410.07025

N/A

0DataRank · unranked

1 citations

Zhihong Chen, Sophie Ostmeier, Justin Xu, Maya Varma, Eduardo Pontes Reis +6 more

Best Practices for Large Language Models in Radiology

arXiv (Cornell University)(2024)10.48550/arxiv.2412.01233

N/A

0DataRank · unranked

1 citations

Dave Van Veen, Cyril Zakka, Katherine E. Link, Aaron Fanous, Roxana Daneshjou +5 more

GENTLE(WO)MAN'S DUEL!: SENSITIVITY TO CARTILAGE THICKNESS CHANGE OF CORONAL FLASH VS SAGITTAL DESS WITH FULLY AUTOMATED SEGMENTATION

Osteoarthritis Imaging(2024)10.1016/j.ostima.2024.100198

N/A

0DataRank · unranked

0 citations

Akshay Chaudhari, D.H. Hunter, W. Wirth, F. Eckstein

Time-to-Event Pretraining for 3D Medical Imaging

arXiv (Cornell University)(2024)10.48550/arxiv.2411.09361

N/A

0DataRank · unranked

0 citations

Jason Fries, Alejandro Lozano, Jeya Maria Jose Valanarasu, Ethan Steinberg, Louis Blankemeier +4 more

Marker Data Enhancement for Markerless Motion Capture

IEEE Transactions on Biomedical Engineering(2025)10.1109/tbme.2025.3530848

N/A

0DataRank · unranked

20 citations

Scott D. Uhlrich, Akshay Chaudhari, Jennifer L. Hicks, Scott L. Delp, Antoine Falisse

Assessing Completeness of Clinical Histories Accompanying Imaging Orders Using Adapted Open-Source and Closed-Source Large Language Models

Radiology(2025)10.1148/radiol.241051

N/A

0DataRank · unranked

16 citations

Arogya Koirala, Lina Cheuy, Magdalini Paschali, Dave Van Veen, Hye Sun Na +4 more

Sarcopenia, Obesity, and Sarcopenic Obesity: Retrospective Audit of Electronic Health Record Documentation versus Automated CT Analysis in 17 646 Patients

Radiology(2025)10.1148/radiol.243525

N/A

0DataRank · unranked

9 citations

Jason Hom, Leon Lenchik, Akshay Chaudhari, Robert D. Boutin, Juan Manuel Zambrano Chaves

Hamstring muscle architecture and microstructure changes following Nordic hamstring exercise training and detraining

Journal of sport and health science/Journal of Sport and Health Science(2025)10.1016/j.jshs.2025.101070

N/A

0DataRank · unranked

4 citations

Max H. Andrews, Reed D. Gurchiek, Patricio A. Pincheira, Marco Barbieri, Tyler J. Friedrich +7 more

A Systematic Review and Implementation Guidelines of Multimodal Foundation Models in Medical Imaging

Research Square(2025)10.21203/rs.3.rs-5537908/v1

N/A

0DataRank · unranked

8 citations

Malte Jensen, Serena Yeung-Levy, Matthew P. Lungren, Hoifung Poon, Akshay Chaudhari +1 more

Expert-level validation of AI-generated medical text with scalable language models

Research Square(2025)10.21203/rs.3.rs-7041107/v1

N/A

0DataRank · unranked

1 citations

Vasiliki Bikia, Maya Varma, Nicole Chiou, Sophie Ostmeier, Arnav Singhvi +22 more

Non-parametric prediction of brain MRI microstructure using transfer learning

Imaging Neuroscience(2025)10.1162/imag_a_00548

N/A

0DataRank · unranked

0 citations

Emmanuelle M. M. Weber, Ankita Batra, Lijun Ni, Michael Zeineh, Akshay Chaudhari +4 more

Automated Real-time Assessment of Intracranial Hemorrhage Detection AI Using an Ensembled Monitoring Model (EMM)

Research Square(2025)10.21203/rs.3.rs-6683104/v1

N/A

0DataRank · unranked

0 citations

Andrew Johnston, Lina Cheuy, Hye Sun Na, Magdalini Paschali, Camila Gonzalez +8 more

CheXalign: Preference fine-tuning in chest X-ray interpretation models without human feedback

(2025)10.18653/v1/2025.acl-long.1342

N/A

0DataRank · unranked

0 citations

Zhihong Chen, Sophie Ostmeier, Justin Xu, Maya Varma, Eduardo Pontes Reis +6 more

Prospective Deployment of Deep Learning in MRI: A Framework for Important Considerations, Challenges, and Recommendations for Best Practices

Journal of Magnetic Resonance Imaging(2020)10.1002/jmri.27331

N/A

0DataRank · unranked

77 citations

Christopher M. Sandino, Elizabeth K. Cole, David B. Larson, Garry E. Gold, Shreyas Vasanawala +4 more

Structured Prompts Improve Evaluation of Language Models

arXiv (Cornell University)(2025)10.48550/arxiv.2511.20836

N/A

0DataRank · unranked

0 citations

Muhammad Ahmed Mohsin, Vasiliki Bikia, Arnav Singhvi, Richard Gaus, Suhana Bedi +13 more

Improving in vivo human cerebral cortical surface reconstruction using data-driven super-resolution

Cerebral Cortex(2020)10.1093/cercor/bhaa237

N/A

0DataRank · unranked

41 citations

Berkin Bilgic̦, Qiuyun Fan, Chanon Ngamsombat, Natalia Zaretskaya, Nina E. Fultz +8 more

Layer-specific analysis of femorotibial cartilage t2 relaxation time based on registration of segmented double echo steady state (dess) to multi-echo-spin-echo (mese) images

Magnetic Resonance Materials in Physics Biology and Medicine(2020)10.1007/s10334-020-00852-6

N/A

0DataRank · unranked

6 citations

W. Wirth, Akshay Chaudhari, F. Eckstein, David Fürst

Challenges in ensuring the generalizability of image quantitation methods for MRI

Medical Physics(2021)10.1002/mp.15195

N/A

0DataRank · unranked

42 citations

Jana G. Delfino, Kalina V. Jordanova, Megan Poorman, Prathyush Chirra, Akshay Chaudhari +5 more

MRSaiFE: An AI-Based Approach Towards the Real-Time Prediction of Specific Absorption Rate

IEEE Access(2021)10.1109/access.2021.3118290

N/A

0DataRank · unranked

27 citations

Fraser Robb, Wolfgang Kainz, Akshay Chaudhari, Simone Winkler, Sayım Gökyar

Non-contrast MRI of synovitis in the knee using quantitative DESS

European Radiology(2021)10.1007/s00330-021-08025-2

N/A

0DataRank · unranked

20 citations

Kathryn J. Stevens, Tom Turmezei, Akshay Chaudhari, Lauren Watkins, Emily J. McWalter +5 more

Synthesizing Quantitative T2 Maps in Right Lateral Knee Femoral Condyles from Multicontrast Anatomic Data with a Conditional Generative Adversarial Network

Radiology Artificial Intelligence(2021)10.1148/ryai.2021200122

N/A

0DataRank · unranked

10 citations

Akshay Chaudhari, Bo Zhu, Néha Koonjoo, Martin Torriani, Garry E. Gold +2 more

Open Source Software for Automatic Subregional Assessment of Knee Cartilage Degradation Using Quantitative T2 Relaxometry and Deep Learning

Cartilage(2021)10.1177/19476035211042406

N/A

0DataRank · unranked

4 citations

Dominik Krzemiński, Łukasz Kidziński, Rohan Paul, Elka Rubin, Eni Halilaj +5 more

Generalizability of Deep Learning Segmentation Algorithms for Automated Assessment of Cartilage Morphology and MRI Relaxometry

Journal of Magnetic Resonance Imaging(2022)10.1002/jmri.28365

N/A

0DataRank · unranked

32 citations

Arjun Desai, Lauren Watkins, Hollis A. Crowder, Marianne S. Black, Valentina Mazzoli +9 more

A method for measuring B0 field inhomogeneity using quantitative double‐echo in steady‐state

Magnetic Resonance in Medicine(2022)10.1002/mrm.29465

N/A

0DataRank · unranked

6 citations

Akshay Chaudhari, Catherine J. Moran, Garry E. Gold, Brian A. Hargreaves, Feliks Kogan +1 more

Correction to “MRSaiFE: An AI-Based Approach Toward the Real-Time Prediction of Specific Absorption Rate”

IEEE Access(2022)10.1109/access.2022.3152277

N/A

0DataRank · unranked

0 citations

Fraser Robb, Wolfgang Kainz, Akshay Chaudhari, Simone Winkler, Sayım Gökyar

Akshay Chaudhari

Indexed papers

Top data-sharing exemplar

Papers