Clinton Wang
Citata da
Citata da
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
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
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
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
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
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
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
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
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
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
Deep Learning on Implicit Neural Datasets
CJ Wang, P Golland
arXiv preprint arXiv:2206.01178, 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
Radiomics Derived Brain Age Predicts Functional Outcome After Acute Ischemic Stroke
M Bretzner, A Bonkhoff, M Schirmer, S Hong, A Dalca, K Donahue, ...
Interpretable deep machine learning for clinical radio; ogy
JS Duncan, B Letzen, J Chapiro, C Wang
US Patent App. 17/265,862, 2021
High fidelity medical image-to-image translation
C Wang
Massachusetts Institute of Technology, 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
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
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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