Clinton Wang
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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
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
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
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
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
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
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
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
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
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
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
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
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
Approximate Discretization Invariance for Deep Learning on Neural Fields
C Wang, P Golland
NeurIPS Workshop on Symmetry and Geometry in Neural Representations, 2022
Interpolating between Images with Diffusion Models
C Wang, P Golland
ICML Workshop on Challenges of Deploying Generative AI, 2023
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
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
Interpretable deep machine learning for clinical radiology
JS Duncan, B Letzen, J Chapiro, C Wang
US Patent App. 17/265,862, 2021
Health and development of children conceived through assisted reproduction
C Wang
AMA Journal of Ethics 16 (1), 34-37, 2014
InterNeRF: Scaling Radiance Fields via Parameter Interpolation
C Wang, P Hedman, P Golland, JT Barron, D Duckworth
CVPR Neural Rendering Intelligence, 2024
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