Akshay Chaudhari

4.7k total citations · 3 hit papers
105 papers, 2.0k citations indexed

About

Akshay Chaudhari is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Rheumatology. According to data from OpenAlex, Akshay Chaudhari has authored 105 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Radiology, Nuclear Medicine and Imaging, 28 papers in Biomedical Engineering and 21 papers in Rheumatology. Recurrent topics in Akshay Chaudhari's work include Radiomics and Machine Learning in Medical Imaging (23 papers), Advanced MRI Techniques and Applications (21 papers) and Osteoarthritis Treatment and Mechanisms (20 papers). Akshay Chaudhari is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (23 papers), Advanced MRI Techniques and Applications (21 papers) and Osteoarthritis Treatment and Mechanisms (20 papers). Akshay Chaudhari collaborates with scholars based in United States, Austria and Germany. Akshay Chaudhari's co-authors include Garry E. Gold, Brian A. Hargreaves, Feliks Kogan, Kathryn J. Stevens, Anuj Pareek, Eric K. Gibbons, Matthew P. Lungren, Zhongnan Fang, Jeff Wood and Curtis P. Langlotz and has published in prestigious journals such as Nature Medicine, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Akshay Chaudhari

91 papers receiving 2.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

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

2024 252 citations Louis Blankemeier, Jean-Benoit Delbrouck et al. profile →
Self-supervised learning for medical image classification: a systematic review and implementation guidelines

2023 174 citations Shih-Cheng Huang, Anuj Pareek et al. npj Digital Medicine profile →
OpenCap: Human movement dynamics from smartphone videos

2023 133 citations Scott D. Uhlrich, Antoine Falisse et al. PLoS Computational Biology profile →

Peers

Countries citing papers authored by Akshay Chaudhari

Since Specialization

Citations

This map shows the geographic impact of Akshay Chaudhari's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Akshay Chaudhari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akshay Chaudhari more than expected).

Fields of papers citing papers by Akshay Chaudhari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Akshay Chaudhari. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Akshay Chaudhari. The network helps show where Akshay Chaudhari may publish in the future.

Co-authorship network of co-authors of Akshay Chaudhari

This figure shows the co-authorship network connecting the top 25 collaborators of Akshay Chaudhari. A scholar is included among the top collaborators of Akshay Chaudhari based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Akshay Chaudhari. Akshay Chaudhari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	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 2025 ·Osteoarthritis and Cartilage Open ·F. Eckstein, Akshay Chaudhari, David J. Hunter, W. Wirth	0
2	Plumbagin Alleviates Mild Traumatic Brain Injury‐Induced Obsessive‐Compulsive Disorder in Mice by Inhibiting nNOS and Augmenting Cortico‐Striatal Serotonin Levels 2025 ·Phytotherapy Research ·(unknown), Akshay Chaudhari, Kartik T. Nakhate, Sameer N. Goyal, (unknown)	1
3	Marker Data Enhancement for Markerless Motion Capture 2025 ·IEEE Transactions on Biomedical Engineering ·Antoine Falisse, Scott D. Uhlrich, Akshay Chaudhari, Jennifer L. Hicks, (unknown)	5
4	Artificial intelligence tools trained on human-labeled data reflect human biases: a case study in a large clinical consecutive knee osteoarthritis cohort 2024 ·Scientific Reports ·(unknown), (unknown), (unknown), Henrik Gudbergsen, Akshay Chaudhari, Anders Troelsen, Anne Møller, Janus Damm Nybing, Mikael Boesen	2
5	Self-Supervised Learning Improves Accuracy and Data Efficiency for IMU-Based Ground Reaction Force Estimation 2024 ·IEEE Transactions on Biomedical Engineering ·Tian Tan, Peter B. Shull, Jennifer L. Hicks, Scott D. Uhlrich, Akshay Chaudhari	6
6	Multimodal Foundation Models for Medical Imaging - A Systematic Review and Implementation Guidelines 2024 ·medRxiv ·Shih-Cheng Huang, Malte Jensen, Serena Yeung, Matthew P. Lungren, Hoifung Poon, Akshay Chaudhari	5
7	Automated abdominal CT contrast phase detection using an interpretable and open-source artificial intelligence algorithm 2024 ·European Radiology ·Eduardo Pontes Reis, Louis Blankemeier, (unknown), (unknown), (unknown), (unknown), Marc H. Willis, Scott Adams, Edson Amaro, Robert D. Boutin, Akshay Chaudhari	4
8	Reproducibility of Quantitative Double‐Echo Steady‐State T₂ Mapping of Knee Cartilage 2024 ·Journal of Magnetic Resonance Imaging ·Ashley Williams, Jessica L. Asay, (unknown), Arjun Desai, Garry E. Gold, Brian A. Hargreaves, Akshay Chaudhari, Constance R. Chu	3
9	T₂ Clusters Are More Sensitive Than Mean T₂ Change to Detect Early and Longitudinal Changes in Anterior Cruciate Ligament Reconstructed and Healthy Knees 2024 ·Journal of Magnetic Resonance Imaging ·(unknown), Anthony A. Gatti, (unknown), Katherine A. Young, Arjun Desai, Marco Barbieri, Jessica L. Asay, Seth L. Sherman, Garry E. Gold, Feliks Kogan, Brian A. Hargreaves, Akshay Chaudhari	0
10	A vision–language foundation model for the generation of realistic chest X-ray images 2024 ·Nature Biomedical Engineering ·Christian Bluethgen, Pierre Chambon, Jean-Benoit Delbrouck, Rogier van der Sluijs, (unknown), (unknown), (unknown), (unknown), Curtis P. Langlotz, Akshay Chaudhari	28
11	A scoping review of portable sensing for out-of-lab anterior cruciate ligament injury prevention and rehabilitation 2023 ·npj Digital Medicine ·Tian Tan, Anthony A. Gatti, Bingfei Fan, Kevin G. Shea, Seth L. Sherman, Scott D. Uhlrich, Jennifer L. Hicks, Scott L. Delp, Peter B. Shull, Akshay Chaudhari	16
12	Accelerated Musculoskeletal Magnetic Resonance Imaging 2023 ·Journal of Magnetic Resonance Imaging ·Min A Yoon, Garry E. Gold, Akshay Chaudhari	5
13	Self-supervised learning for medical image classification: a systematic review and implementation guidelines breakdown → 2023 ·npj Digital Medicine ·Shih-Cheng Huang, Anuj Pareek, Malte Jensen, Matthew P. Lungren, Serena Yeung, Akshay Chaudhari	174
14	OpenCap: Human movement dynamics from smartphone videos breakdown → 2023 ·PLoS Computational Biology ·Scott D. Uhlrich, Antoine Falisse, Łukasz Kidziński, (unknown), Michael Ko, Akshay Chaudhari, Jennifer L. Hicks, Scott L. Delp	133
15	Developing medical imaging AI for emerging infectious diseases 2022 ·Nature Communications ·Shih-Cheng Huang, Akshay Chaudhari, Curtis P. Langlotz, Nigam H. Shah, Serena Yeung, Matthew P. Lungren	18
16	Synthesizing Quantitative T2 Maps in Right Lateral Knee Femoral Condyles from Multicontrast Anatomic Data with a Conditional Generative Adversarial Network 2021 ·Radiology Artificial Intelligence ·Bragi Sveinsson, Akshay Chaudhari, Bo Zhu, Néha Koonjoo, Martin Torriani, Garry E. Gold, Matthew S. Rosen	8
17	Validation of Deep Learning–based Augmentation for Reduced ¹⁸F-FDG Dose for PET/MRI in Children and Young Adults with Lymphoma 2021 ·Radiology Artificial Intelligence ·Ashok J. Theruvath, Florian Siedek, Ketan Yerneni, Anne M. Muehe, Sheri L. Spunt, Allison Pribnow, Michael E. Moseley, Ying Lü, Qian Zhao, Praveen Gulaka, Akshay Chaudhari, Heike E. Daldrup‐Link	15
18	Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Progressive Exaggeration on Chest X-rays. 2021 ·arXiv (Cornell University) ·Joseph Cohen, Rupert Brooks, (unknown), Evan J. Zucker, Anuj Pareek, Matthew P. Lungren, Akshay Chaudhari	2
19	Measuring Robustness in Deep Learning Based Compressive Sensing 2021 ·International Conference on Machine Learning ·Mohammad Zalbagi Darestani, Akshay Chaudhari, Reinhard Heckel	2
20	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 2020 ·Arthritis Care & Research ·F. Eckstein, Akshay Chaudhari, (unknown), Martin Gaisberger, Jana Kemnitz, Christian F. Baumgartner, Ender Konukoğlu, David J. Hunter, W. Wirth	27

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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