Clinton J. Wang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 12

Top Topics

Automatic Segmentation

Cancer Diagnosis

Top Venues

Medical Imaging: Computer-Aided Diagnosis

IEEE Trans. Medical Imaging

Publications

Clinton J. Wang, Peter Hedman, Polina Golland, Jonathan T. Barron, Daniel Duckworth
InterNeRF: Scaling Radiance Fields via Parameter Interpolation. CoRR (2024)
Clinton J. Wang, Polina Golland
Discretization Invariant Networks for Learning Maps between Neural Fields. Trans. Mach. Learn. Res. 2023 (2023)
S. Mazdak Abulnaga, Neel Dey, Sean I. Young, Eileen Pan, Katherine I. Hobgood, Clinton J. Wang, Patricia Ellen Grant, Esra Abaci Turk, Polina Golland
Shape-aware Segmentation of the Placenta in BOLD Fetal MRI Time Series. CoRR (2023)
Zeen Chi, Zhongxiao Cong, Clinton J. Wang, Yingcheng Liu, Esra Abaci Turk, Patricia Ellen Grant, S. Mazdak Abulnaga, Polina Golland, Neel Dey
Dynamic Neural Fields for Learning Atlases of 4D Fetal MRI Time-series. CoRR (2023)
Clinton J. Wang, Natalia S. Rost, Polina Golland
Spatial-Intensity Transforms for Medical Image-to-Image Translation. IEEE Trans. Medical Imaging 42 (11) (2023)
Clinton J. Wang, Polina Golland
Interpolating between Images with Diffusion Models. CoRR (2023)
Dominik Hollidt, Clinton J. Wang, Polina Golland, Marc Pollefeys
Geometry Aware Field-to-field Transformations for 3D Semantic Segmentation. CoRR (2023)
S. Mazdak Abulnaga, Sean I. Young, Katherine Hobgood, Eileen Pan, Clinton J. Wang, Patricia Ellen Grant, Esra Abaci Turk, Polina Golland
Automatic Segmentation of the Placenta in BOLD MRI Time Series. CoRR (2022)
Clinton J. Wang, Polina Golland
Deep Learning on Implicit Neural Datasets. CoRR (2022)
S. Mazdak Abulnaga, Sean I. Young, Katherine Hobgood, Eileen Pan, Clinton J. Wang, Patricia Ellen Grant, Esra Abaci Turk, Polina Golland
Automatic Segmentation of the Placenta in BOLD MRI Time Series. PIPPI@MICCAI (2022)
Clinton J. Wang, Natalia S. Rost, Polina Golland
Spatial-Intensity Transform GANs for High Fidelity Medical Image-to-Image Translation. MICCAI (2) (2020)
Clinton J. Wang, Charlie A. Hamm, Brian S. Letzen, James S. Duncan
A probabilistic approach for interpretable deep learning in liver cancer diagnosis. Medical Imaging: Computer-Aided Diagnosis (2019)