| Current applications and future impact of machine learning in radiology G Choy, O Khalilzadeh, M Michalski, S Do, AE Samir, OS Pianykh, ... Radiology 288 (2), 318-328, 2018 | 766 | 2018 |
| Medical image synthesis for data augmentation and anonymization using generative adversarial networks HC Shin, NA Tenenholtz, JK Rogers, CG Schwarz, ML Senjem, JL Gunter, ... Simulation and Synthesis in Medical Imaging: Third International Workshop …, 2018 | 738 | 2018 |
| The shape of things to come: 3D printing in medicine MH Michalski, JS Ross Jama 312 (21), 2213-2214, 2014 | 300 | 2014 |
| Triblock copolymer coated iron oxide nanoparticle conjugate for tumor integrin targeting K Chen, J Xie, H Xu, D Behera, MH Michalski, S Biswal, A Wang, X Chen Biomaterials 30 (36), 6912-6919, 2009 | 168 | 2009 |
| Deep spine: automated lumbar vertebral segmentation, disc-level designation, and spinal stenosis grading using deep learning JT Lu, S Pedemonte, B Bizzo, S Doyle, KP Andriole, MH Michalski, ... Machine Learning for Healthcare Conference, 403-419, 2018 | 132 | 2018 |
| Implementing the DICOM standard for digital pathology MD Herrmann, DA Clunie, A Fedorov, SW Doyle, S Pieper, V Klepeis, ... Journal of pathology informatics 9 (1), 37, 2018 | 129 | 2018 |
| Molecular imaging in cancer treatment MH Michalski, X Chen European journal of nuclear medicine and molecular imaging 38, 358-377, 2011 | 115 | 2011 |
| Tomosynthesis in the diagnostic setting: changing rates of BI-RADS final assessment over time M Raghu, MA Durand, L Andrejeva, A Goehler, MH Michalski, JL Geisel, ... Radiology 281 (1), 54-61, 2016 | 80 | 2016 |
| Artificial intelligence and clinical decision support for radiologists and referring providers BC Bizzo, RR Almeida, MH Michalski, TK Alkasab Journal of the American College of Radiology 16 (9), 1351-1356, 2019 | 67 | 2019 |
| 3D printing from diagnostic images: a radiologist’s primer with an emphasis on musculoskeletal imaging—putting the 3D printing of pathology into the hands of every physician T Friedman, M Michalski, TR Goodman, JE Brown Skeletal radiology 45, 307-321, 2016 | 61 | 2016 |
| Fully-automated analysis of body composition from CT in cancer patients using convolutional neural networks CP Bridge, M Rosenthal, B Wright, G Kotecha, F Fintelmann, F Troschel, ... OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy …, 2018 | 60 | 2018 |
| Facilitating artificial intelligence integration into systems using a distributed learning platform J Kalafut, K Dreyer, M Michalski, S Pomerantz, S Doyle, N Tenenholtz US Patent 10,957,442, 2021 | 53 | 2021 |
| Optimal directional volatile transport in retronasal olfaction R Ni, MH Michalski, E Brown, N Doan, J Zinter, NT Ouellette, ... Proceedings of the National Academy of Sciences 112 (47), 14700-14704, 2015 | 45 | 2015 |
| Using DICOM metadata for radiological image series categorization: a feasibility study on large clinical brain MRI datasets R Gauriau, C Bridge, L Chen, F Kitamura, NA Tenenholtz, JE Kirsch, ... Journal of digital imaging 33, 747-762, 2020 | 39 | 2020 |
| DeepAAA: clinically applicable and generalizable detection of abdominal aortic aneurysm using deep learning JT Lu, R Brooks, S Hahn, J Chen, V Buch, G Kotecha, KP Andriole, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 36 | 2019 |
| Simulation and Synthesis in Medical Imaging HC Shin, NA Tenenholtz, JK Rogers, CG Schwarz, ML Senjem, JL Gunter, ... Cham: Springer, 2018 | 36 | 2018 |
| The need for a machine learning curriculum for radiologists MJ Wood, NA Tenenholtz, JR Geis, MH Michalski, KP Andriole Journal of the American College of Radiology 16 (5), 740-742, 2019 | 33 | 2019 |
| Synho Do, Anthony E Samir, Oleg S Pianykh, J Raymond Geis, Pari V Pandharipande, James A Brink, and Keith J Dreyer. Current applications and future impact of machine learning … G Choy, O Khalilzadeh, M Michalski Radiology 288 (2), 318-328, 2018 | 28 | 2018 |
| 4D CNN for semantic segmentation of cardiac volumetric sequences A Myronenko, D Yang, V Buch, D Xu, A Ihsani, S Doyle, M Michalski, ... Statistical Atlases and Computational Models of the Heart. Multi-Sequence …, 2020 | 27 | 2020 |
| Can an infectious disease genomics project predict and prevent the next pandemic? R Gupta, MH Michalski, FR Rijsberman PLoS biology 7 (10), e1000219, 2009 | 19 | 2009 |
