| 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, 3338-3347, 2019 | 290 | 2019 |
| Pre-trained language models for interactive decision-making S Li, X Puig, C Paxton, Y Du, C Wang, L Fan, T Chen, DA Huang, ... Advances in Neural Information Processing Systems 35, 31199-31212, 2022 | 241* | 2022 |
| 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, 3348-3357, 2019 | 137 | 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, 4981-4990, 2021 | 60 | 2021 |
| 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 | 46 | 2019 |
| Radiomics-derived brain age predicts functional outcome after acute ischemic stroke M Bretzner, AK Bonkhoff, MD Schirmer, S Hong, A Dalca, K Donahue, ... Neurology 100 (8), e822-e833, 2023 | 20 | 2023 |
| 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), 18026, 2020 | 16 | 2020 |
| 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 | 14 | 2021 |
| Conventional vs. drug-eluting beads transarterial chemoembolization for unresectable hepatocellular carcinoma—a propensity score weighted comparison of efficacy and safety LJ Savic, E Chen, N Nezami, N Murali, CA Hamm, C Wang, MD Lin, ... Cancers 14 (23), 5847, 2022 | 12 | 2022 |
| 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 | 9 | 2016 |
| Interpolating between Images with Diffusion Models C Wang, P Golland ICML Workshop on Challenges of Deploying Generative AI, 2023 | 8 | 2023 |
| 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 | 8 | 2019 |
| Spatial-Intensity Transforms for Medical Image-to-Image Translation CJ Wang, NS Rost, P Golland IEEE transactions on medical imaging 42 (11), 3362-3373, 2023 | 7 | 2023 |
| Automatic segmentation of the placenta in bold mri time series SM Abulnaga, SI Young, K Hobgood, E Pan, CJ Wang, PE Grant, ... International Workshop on Preterm, Perinatal and Paediatric Image Analysis, 1-12, 2022 | 6 | 2022 |
| Spatial-intensity transform GANs for high fidelity medical image-to-image translation CJ Wang, NS Rost, P Golland Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 6 | 2020 |
| Approximate Discretization Invariance for Deep Learning on Neural Fields C Wang, P Golland NeurIPS Workshop on Symmetry and Geometry in Neural Representations, 2022 | 5* | 2022 |
| Dynamic Neural Fields for Learning Atlases of 4D Fetal MRI Time-series Z Chi, Z Cong, CJ Wang, Y Liu, EA Turk, PE Grant, SM Abulnaga, ... Medical Imaging Meets NeurIPS, 2023 | 4 | 2023 |
| Implicit Representations via Operator Learning S Pal, H Adepu, C Wang, P Golland, V Singh Forty-first International Conference on Machine Learning, 2024 | 1 | 2024 |
| Shape-aware Segmentation of the Placenta in BOLD Fetal MRI Time Series SM Abulnaga, N Dey, SI Young, E Pan, KI Hobgood, CJ Wang, PE Grant, ... arXiv preprint arXiv:2312.05148, 2023 | 1 | 2023 |
| Interpretable deep machine learning for clinical radiology JS Duncan, B Letzen, J Chapiro, C Wang US Patent App. 17/265,862, 2021 | 1 | 2021 |
James S. DuncanEbenezer K. Hunt Professor of Biomedical Engineering, Radiology, Electr. Engr., Yale UniversityVerified email at yale.edu