| Fusion of medical imaging and electronic health records using deep learning: a systematic review and implementation guidelines SC Huang, A Pareek, S Seyyedi, I Banerjee, MP Lungren NPJ digital medicine 3 (1), 136, 2020 | 423 | 2020 |
| CheXbert: combining automatic labelers and expert annotations for accurate radiology report labeling using BERT A Smit, S Jain, P Rajpurkar, A Pareek, AY Ng, MP Lungren arXiv preprint arXiv:2004.09167, 2020 | 223 | 2020 |
| Multimodal fusion with deep neural networks for leveraging CT imaging and electronic health record: a case-study in pulmonary embolism detection SC Huang, A Pareek, R Zamanian, I Banerjee, MP Lungren Scientific reports 10 (1), 22147, 2020 | 148 | 2020 |
| Benchmarking saliency methods for chest X-ray interpretation A Saporta, X Gui, A Agrawal, A Pareek, SQH Truong, CDT Nguyen, ... Nature Machine Intelligence 4 (10), 867-878, 2022 | 119 | 2022 |
| Magnetic resonance imaging of tumor-associated macrophages: clinical translation M Aghighi, AJ Theruvath, A Pareek, LL Pisani, R Alford, AM Muehe, ... Clinical Cancer Research 24 (17), 4110-4118, 2018 | 91 | 2018 |
| Self-supervised learning for medical image classification: a systematic review and implementation guidelines SC Huang, A Pareek, M Jensen, MP Lungren, S Yeung, AS Chaudhari NPJ Digital Medicine 6 (1), 74, 2023 | 87 | 2023 |
| Deep learning and its role in COVID-19 medical imaging SB Desai, A Pareek, MP Lungren Intelligence-Based Medicine 3, 100013, 2020 | 86 | 2020 |
| Clinical characteristics and outcomes in patients with COVID-19 and cancer: a systematic review and meta-analysis P Zarifkar, A Kamath, C Robinson, N Morgulchik, SFH Shah, TKM Cheng, ... Clinical Oncology 33 (3), e180-e191, 2021 | 80 | 2021 |
| Clinical text summarization: Adapting large language models can outperform human experts D Van Veen, C Van Uden, L Blankemeier, JB Delbrouck, A Aali, ... Research Square, 2023 | 44 | 2023 |
| CheXpedition: Investigating generalization challenges for translation of chest X-ray algorithms to the clinical setting P Rajpurkar, A Joshi, A Pareek, P Chen, A Kiani, J Irvin, AY Ng, ... arXiv preprint arXiv:2002.11379, 2020 | 37 | 2020 |
| Multi-task weak supervision enables anatomically-resolved abnormality detection in whole-body FDG-PET/CT S Eyuboglu, G Angus, BN Patel, A Pareek, G Davidzon, J Long, ... Nature communications 12 (1), 1880, 2021 | 34 | 2021 |
| Deep learning saliency maps do not accurately highlight diagnostically relevant regions for medical image interpretation A Saporta, X Gui, A Agrawal, A Pareek, SQ Truong, CD Nguyen, VD Ngo, ... MedRxiv, 2021 | 30 | 2021 |
| CheXphoto: 10,000+ photos and transformations of chest X-rays for benchmarking deep learning robustness NA Phillips, P Rajpurkar, M Sabini, R Krishnan, S Zhou, A Pareek, ... Machine Learning for Health, 318-327, 2020 | 28 | 2020 |
| RadAdapt: Radiology report summarization via lightweight domain adaptation of large language models D Van Veen, C Van Uden, M Attias, A Pareek, C Bluethgen, M Polacin, ... arXiv preprint arXiv:2305.01146, 2023 | 27 | 2023 |
| Adapted large language models can outperform medical experts in clinical text summarization D Van Veen, C Van Uden, L Blankemeier, JB Delbrouck, A Aali, ... Nature Medicine, 1-9, 2024 | 24 | 2024 |
| Outcomes of acute respiratory distress syndrome in COVID-19 patients compared to the general population: a systematic review and meta-analysis AA Dmytriw, R Chibbar, PPY Chen, MD Traynor, DW Kim, FP Bruno, ... Expert review of respiratory medicine 15 (10), 1347-1354, 2021 | 24 | 2021 |
| Gifsplanation via latent shift: a simple autoencoder approach to counterfactual generation for chest x-rays JP Cohen, R Brooks, S En, E Zucker, A Pareek, MP Lungren, A Chaudhari Medical Imaging with Deep Learning, 74-104, 2021 | 24 | 2021 |
| CheXternal: Generalization of deep learning models for chest X-ray interpretation to photos of chest X-rays and external clinical settings P Rajpurkar, A Joshi, A Pareek, AY Ng, MP Lungren Proceedings of the Conference on Health, Inference, and Learning, 125-132, 2021 | 14 | 2021 |
| Whole-body PET/MRI of pediatric patients: the details that matter A Pareek, AM Muehe, AJ Theruvath, PK Gulaka, SL Spunt, ... JoVE (Journal of Visualized Experiments), e57128, 2017 | 13 | 2017 |
| Diagnostic accuracy of radiography, digital breast tomosynthesis, micro-CT and ultrasound for margin assessment during breast surgery: A systematic review and meta-analysis IP Manhoobi, A Bodilsen, J Nijkamp, A Pareek, T Tramm, S Redsted, ... Academic Radiology 29 (10), 1560-1572, 2022 | 12 | 2022 |
