| Radiomics: a new application from established techniques V Parekh, MA Jacobs Expert review of precision medicine and drug development 1 (2), 207-226, 2016 | 351 | 2016 |
| Deep learning and radiomics in precision medicine VS Parekh, MA Jacobs Expert review of precision medicine and drug development 4 (2), 59-72, 2019 | 192 | 2019 |
| Integrated radiomic framework for breast cancer and tumor biology using advanced machine learning and multiparametric MRI VS Parekh, MA Jacobs NPJ breast cancer 3 (1), 43, 2017 | 157 | 2017 |
| Distinguishing true progression from radionecrosis after stereotactic radiation therapy for brain metastases with machine learning and radiomics L Peng, V Parekh, P Huang, DD Lin, K Sheikh, B Baker, T Kirschbaum, ... International Journal of Radiation Oncology* Biology* Physics 102 (4), 1236-1243, 2018 | 125 | 2018 |
| Trainable High Resolution Melt Curve Machine Learning Classifier for Large-Scale Reliable Genotyping of Sequence Variants P Athamanolap, V Parekh, SI Fraley, V Agarwal, DJ Shin, MA Jacobs, ... PloS one 9 (10), e109094, 2014 | 62 | 2014 |
| Multiparametric radiomics methods for breast cancer tissue characterization using radiological imaging VS Parekh, MA Jacobs Breast cancer research and treatment 180, 407-421, 2020 | 52 | 2020 |
| Radiomic features of the pancreas on CT imaging accurately differentiate functional abdominal pain, recurrent acute pancreatitis, and chronic pancreatitis R Mashayekhi, VS Parekh, M Faghih, VK Singh, MA Jacobs, A Zaheer European journal of radiology 123, 108778, 2020 | 41 | 2020 |
| Multiparametric deep learning tissue signatures for a radiological biomarker of breast cancer: Preliminary results VS Parekh, KJ Macura, SC Harvey, IR Kamel, R EI‐Khouli, DA Bluemke, ... Medical physics 47 (1), 75-88, 2020 | 36 | 2020 |
| A Deep Learning System for Synthetic Knee Magnetic Resonance Imaging: Is Artificial Intelligence‐Based Fat-Suppressed Imaging Feasible? LM Fayad, VS Parekh, R de Castro Luna, CC Ko, D Tank, J Fritz, ... Investigative radiology 56 (6), 357-368, 2021 | 34 | 2021 |
| Cross-domain federated learning in medical imaging VS Parekh, S Lai, V Braverman, J Leal, S Rowe, JJ Pillai, MA Jacobs arXiv preprint arXiv:2112.10001, 2021 | 20 | 2021 |
| Integrated multiparametric radiomics and informatics system for characterizing breast tumor characteristics with the OncotypeDX gene assay MA Jacobs, CB Umbricht, VS Parekh, RH El Khouli, L Cope, KJ Macura, ... Cancers 12 (10), 2772, 2020 | 19 | 2020 |
| Longitudinal functional and imaging outcome measures in FKRP limb-girdle muscular dystrophy DG Leung, AE Bocchieri, S Ahlawat, MA Jacobs, VS Parekh, V Braverman, ... BMC neurology 20, 1-12, 2020 | 18 | 2020 |
| Generalizability and bias in a deep learning pediatric bone age prediction model using hand radiographs E Beheshtian, K Putman, SM Santomartino, VS Parekh, PH Yi Radiology 306 (2), e220505, 2022 | 16 | 2022 |
| Exploring the clinical translation of generative models like ChatGPT: promise and pitfalls in radiology, from patients to population health FX Doo, TS Cook, EL Siegel, A Joshi, V Parekh, A Elahi, HY Paul Journal of the American College of Radiology 20 (9), 877-885, 2023 | 11 | 2023 |
| Radiomic Synthesis Using Deep Convolutional Neural Networks VS Parekh, MA Jacobs https://arxiv.org/abs/1810.11090, 2018 | 11 | 2018 |
| Multiparametric radiomic tissue signature and machine learning for distinguishing radiation necrosis from tumor progression after stereotactic radiosurgery X Chen, VS Parekh, L Peng, MD Chan, KJ Redmond, M Soike, E McTyre, ... Neuro-Oncology Advances 3 (1), vdab150, 2021 | 10 | 2021 |
| Multitask radiological modality invariant landmark localization using deep reinforcement learning VS Parekh, V Braverman, MA Jacobs Medical Imaging with Deep Learning, 588-600, 2020 | 7 | 2020 |
| Multiparametric deep learning and radiomics for tumor grading and treatment response assessment of brain cancer: preliminary results VS Parekh, J Laterra, C Bettegowda, AE Bocchieri, JJ Pillai, MA Jacobs arXiv preprint arXiv:1906.04049, 2019 | 7 | 2019 |
| Medical imaging data science competitions should report dataset demographics and evaluate for bias SP Garin, VS Parekh, J Sulam, PH Yi Nature medicine 29 (5), 1038-1039, 2023 | 6 | 2023 |
| Unsupervised nonlinear dimensionality reduction machine learning methods applied to multiparametric MRI in cerebral ischemia: preliminary results VS Parekh, JR Jacobs, MA Jacobs SPIE Medical Imaging, 90342O-90342O-9, 2014 | 6 | 2014 |
Michael A. Jacobs, Ph.D., DABRUT-Health and (Adjunct) The Johns Hopkins University School of MedicineVerified email at mri.jhu.edu
