A probabilistic approach for interpretable deep learning in liver cancer diagnosis. - Clinton J. Wang; Charlie A. Hamm; Brian S. Letzen; James S. Duncan (Computer-Aided Diagnosis, 2019)

Spatial-Intensity Transform GANs for High Fidelity Medical Image-to-Image Translation. - Clinton J. Wang; Natalia S. Rost; Polina Golland (MICCAI (2), 2020)

Automatic Segmentation of the Placenta in BOLD MRI Time Series. - S. Mazdak Abulnaga; Sean I. Young; Katherine Hobgood; Eileen Pan; Clinton J. Wang; Patricia Ellen Grant; Esra Abaci Turk; Polina Golland (PIPPI@MICCAI, 2022)

Deep Learning on Implicit Neural Datasets. - Clinton J. Wang; Polina Golland (CoRR, 2022)

Interpolating between Images with Diffusion Models. - Clinton J. Wang; Polina Golland (CoRR, 2023)

Geometry Aware Field-to-field Transformations for 3D Semantic Segmentation. - Dominik Hollidt; Clinton J. Wang; Polina Golland; Marc Pollefeys (CoRR, 2023)

Dynamic Neural Fields for Learning Atlases of 4D Fetal MRI Time-series. - Zeen Chi; Zhongxiao Cong; Clinton J. Wang; Yingcheng Liu; Esra Abaci Turk; Patricia Ellen Grant; S. Mazdak Abulnaga; Polina Golland; Neel Dey (CoRR, 2023)

Shape-aware Segmentation of the Placenta in BOLD Fetal MRI Time Series. - S. Mazdak Abulnaga; Neel Dey; Sean I. Young; Eileen Pan; Katherine I. Hobgood; Clinton J. Wang; Patricia Ellen Grant; Esra Abaci Turk; Polina Golland (CoRR, 2023)

Discretization Invariant Networks for Learning Maps between Neural Fields. - Clinton J. Wang; Polina Golland (Trans. Mach. Learn. Res., 2023)

Spatial-Intensity Transforms for Medical Image-to-Image Translation. - Clinton J. Wang; Natalia S. Rost; Polina Golland (IEEE Trans. Medical Imaging, 2023)

Implicit Representations via Operator Learning. - Sourav Pal; Harshavardhan Adepu; Clinton J. Wang; Polina Golland; Vikas Singh (ICML, 2024)

InterNeRF: Scaling Radiance Fields via Parameter Interpolation. - Clinton J. Wang; Peter Hedman; Polina Golland; Jonathan T. Barron; Daniel Duckworth (CoRR, 2024)

Learning General-purpose Biomedical Volume Representations using Randomized Synthesis. - Neel Dey; Benjamin Billot; Hallee E. Wong; Clinton J. Wang; Mengwei Ren; Ellen Grant; Adrian V. Dalca; Polina Golland (ICLR, 2025)

EnigmaEval: A Benchmark of Long Multimodal Reasoning Challenges. - Clinton J. Wang; Dean Lee; Cristina Menghini; Johannes Mols; Jack Doughty; Adam Khoja; Jayson Lynch; Sean Hendryx; Summer Yue; Dan Hendrycks (CoRR, 2025)