Clinton J. Wang

17 papers A* 2Journal 12Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Fast Multi-Stack Slice-to-Volume Reconstruction via Multi-Scale Unrolled Optimization. CoRR Margherita Firenze, Sean I. Young, Clinton J. Wang, Hyuk Jin Yun, Elfar Adalsteinsson, Kiho Im, Patricia Ellen Grant, Polina Golland
2025	J	`jnl`	EnigmaEval: A Benchmark of Long Multimodal Reasoning Challenges. CoRR Clinton J. Wang, Dean Lee, Cristina Menghini, Johannes Mols, Jack Doughty, Adam Khoja, Jayson Lynch, Sean Hendryx, Summer Yue, Dan Hendrycks
2025	A*	`conf`	Learning General-purpose Biomedical Volume Representations using Randomized Synthesis. ICLR Neel Dey, Benjamin Billot, Hallee E. Wong, Clinton J. Wang, Mengwei Ren, Ellen Grant, Adrian V. Dalca, Polina Golland
2024	A*	`conf`	Implicit Representations via Operator Learning. ICML Sourav Pal, Harshavardhan Adepu, Clinton J. Wang, Polina Golland, Vikas Singh
2024	J	`jnl`	InterNeRF: Scaling Radiance Fields via Parameter Interpolation. CoRR Clinton J. Wang, Peter Hedman, Polina Golland, Jonathan T. Barron, Daniel Duckworth
2024	J	`jnl`	Learning General-Purpose Biomedical Volume Representations using Randomized Synthesis. CoRR Neel Dey, Benjamin Billot, Hallee E. Wong, Clinton J. Wang, Mengwei Ren, Patricia Ellen Grant, Adrian V. Dalca, Polina Golland
2023	J	`jnl`	Discretization Invariant Networks for Learning Maps between Neural Fields. Trans. Mach. Learn. Res. Clinton J. Wang, Polina Golland
2023	J	`jnl`	Dynamic Neural Fields for Learning Atlases of 4D Fetal MRI Time-series. CoRR Zeen Chi, Zhongxiao Cong, Clinton J. Wang, Yingcheng Liu, Esra Abaci Turk, Patricia Ellen Grant, S. Mazdak Abulnaga, Polina Golland, Neel Dey
2023	J	`jnl`	Geometry Aware Field-to-field Transformations for 3D Semantic Segmentation. CoRR Dominik Hollidt, Clinton J. Wang, Polina Golland, Marc Pollefeys
2023	J	`jnl`	Interpolating between Images with Diffusion Models. CoRR Clinton J. Wang, Polina Golland
2023	J	`jnl`	Shape-aware Segmentation of the Placenta in BOLD Fetal MRI Time Series. CoRR S. Mazdak Abulnaga, Neel Dey, Sean I. Young, Eileen Pan, Katherine I. Hobgood, Clinton J. Wang, Patricia Ellen Grant, Esra Abaci Turk, Polina Golland
2023	J	`jnl`	Spatial-Intensity Transforms for Medical Image-to-Image Translation. IEEE Trans. Medical Imaging Clinton J. Wang, Natalia S. Rost, Polina Golland
2022	—	`conf`	Automatic Segmentation of the Placenta in BOLD MRI Time Series. PIPPI@MICCAI S. Mazdak Abulnaga, Sean I. Young, Katherine Hobgood, Eileen Pan, Clinton J. Wang, Patricia Ellen Grant, Esra Abaci Turk, Polina Golland
2022	J	`jnl`	Automatic Segmentation of the Placenta in BOLD MRI Time Series. CoRR S. Mazdak Abulnaga, Sean I. Young, Katherine Hobgood, Eileen Pan, Clinton J. Wang, Patricia Ellen Grant, Esra Abaci Turk, Polina Golland
2022	J	`jnl`	Deep Learning on Implicit Neural Datasets. CoRR Clinton J. Wang, Polina Golland
2020	—	`conf`	Spatial-Intensity Transform GANs for High Fidelity Medical Image-to-Image Translation. MICCAI (2) Clinton J. Wang, Natalia S. Rost, Polina Golland
2019	—	`conf`	A probabilistic approach for interpretable deep learning in liver cancer diagnosis. Computer-Aided Diagnosis Clinton J. Wang, Charlie A. Hamm, Brian S. Letzen, James S. Duncan