| Deep learning for liver tumor diagnosis part I: development of a convolutional neural network classifier for multi-phasic MRI CA Hamm, CJ Wang, LJ Savic, M Ferrante, I Schobert, T Schlachter, ... European radiology 29 (7), 3338-3347, 2019 | 134 | 2019 |
| Deep learning for liver tumor diagnosis part II: convolutional neural network interpretation using radiologic imaging features CJ Wang, CA Hamm, LJ Savic, M Ferrante, I Schobert, T Schlachter, ... European radiology 29 (7), 3348-3357, 2019 | 68 | 2019 |
| The role of artificial intelligence in interventional oncology: a primer B Letzen, CJ Wang, J Chapiro Journal of vascular and interventional radiology: JVIR 30 (1), 38-41. e1, 2019 | 29 | 2019 |
| Deep learning–assisted differentiation of pathologically proven atypical and typical hepatocellular carcinoma (HCC) versus non-HCC on contrast-enhanced MRI of the liver PM Oestmann, CJ Wang, LJ Savic, CA Hamm, S Stark, I Schobert, ... European radiology 31 (7), 4981-4990, 2021 | 12 | 2021 |
| Slowing of contractile kinetics by myosin-binding protein C can be explained by its cooperative binding to the thin filament C Wang, J Schwan, SG Campbell Journal of molecular and cellular cardiology 96, 2-10, 2016 | 6 | 2016 |
| Pre-trained language models for interactive decision-making S Li, X Puig, Y Du, C Wang, E Akyurek, A Torralba, J Andreas, I Mordatch arXiv preprint arXiv:2202.01771, 2022 | 5 | 2022 |
| MRI radiomic signature of white matter hyperintensities is associated with clinical phenotypes M Bretzner, AK Bonkhoff, MD Schirmer, S Hong, AV Dalca, KL Donahue, ... Frontiers in neuroscience 15, 691244, 2021 | 4 | 2021 |
| Automated feature quantification of Lipiodol as imaging biomarker to predict therapeutic efficacy of conventional transarterial chemoembolization of liver cancer S Stark, C Wang, LJ Savic, B Letzen, I Schobert, M Miszczuk, N Murali, ... Scientific reports 10 (1), 1-13, 2020 | 4 | 2020 |
| A probabilistic approach for interpretable deep learning in liver cancer diagnosis CJ Wang, CA Hamm, BS Letzen, JS Duncan Medical Imaging 2019: Computer-Aided Diagnosis 10950, 220-228, 2019 | 4 | 2019 |
| Spatial-intensity transform GANs for high fidelity medical image-to-image translation CJ Wang, NS Rost, P Golland International Conference on Medical Image Computing and Computer-Assisted …, 2020 | 1 | 2020 |
| Deep Learning on Implicit Neural Datasets CJ Wang, P Golland arXiv preprint arXiv:2206.01178, 2022 | | 2022 |
| L’âge cérébral radiomique prédit le pronostic fonctionnel après un avc ischémique. M Bretzner, A Bonkhoff, M Schirmer, S Hong, A Dalca, K Donahue, ... Journal of Neuroradiology 49 (2), 110-111, 2022 | | 2022 |
| Radiomics Derived Brain Age Predicts Functional Outcome After Acute Ischemic Stroke M Bretzner, A Bonkhoff, M Schirmer, S Hong, A Dalca, K Donahue, ... | | 2021 |
| Interpretable deep machine learning for clinical radio; ogy JS Duncan, B Letzen, J Chapiro, C Wang US Patent App. 17/265,862, 2021 | | 2021 |
| High fidelity medical image-to-image translation C Wang Massachusetts Institute of Technology, 2020 | | 2020 |
| Abstract No. 495 Automated lesion classification in patients with hepatocellular carcinoma undergoing transarterial chemoembolization: a comparison of 3D image analysis algorithms N Tritz, S Ghazikhanian, J Chapiro, M Lin, C Wang, F Laage-Gaupp, ... Journal of Vascular and Interventional Radiology 30 (3), S214-S215, 2019 | | 2019 |
| Assuming that Myosin-Binding Protein C Interacts with Both Myosin and Actin Can Explain its Role in Skinned Fiber Mechanics J Schwan, C Wang, SG Campbell Biophysical Journal 110 (3), 299a-300a, 2016 | | 2016 |
James S. DuncanProfessor of Biomedical Engineering, Radiology, Electrical Engineering, Yale UniversityEmail verificata su yale.edu
