Sean I. Young

40 papers A* 4B 3C 4Misc 2Journal 22Unranked 5
YearRankTypeTitle / 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 A* conf
Radio: Rate-Distortion Optimization for Large Language Model Compression.
ICML
Sean I. Young
2025 J jnl
Radio: Rate-Distortion Optimization for Large Language Model Compression.
CoRR
Sean I. Young
2025 J jnl
Reference-Free 3D Reconstruction of Brain Dissection Photographs with Machine Learning.
CoRR
Lin Tian, Sean I. Young, Jonathan Williams Ramirez, Dina Zemlyanker, Lucas J. Deden-Binder, Rogeny Herisse, Theresa R. Connors, Derek H. Oakley, Bradley T. Hyman, Oula Puonti, Matthew S. Rosen, Juan Eugenio Iglesias
2025 J jnl
Supervision by Denoising.
IEEE Trans. Pattern Anal. Mach. Intell.
Sean I. Young, Adrian V. Dalca, Enzo Ferrante, Polina Golland, Christopher A. Metzler, Bruce Fischl, Juan Eugenio Iglesias
2024 J jnl
A Framework for Interpretability in Machine Learning for Medical Imaging.
IEEE Access
Alan Q. Wang, Batuhan K. Karaman, Heejong Kim, Jacob Rosenthal, Rachit Saluja, Sean I. Young, Mert R. Sabuncu
2024 J jnl
Foundations of Large Language Model Compression - Part 1: Weight Quantization.
CoRR
Sean I. Young
2024 A* conf
Fully Convolutional Slice-to-Volume Reconstruction for Single-Stack MRI.
CVPR
Sean I. Young, Yaël Balbastre, Bruce Fischl, Polina Golland, Juan Eugenio Iglesias
2024 — conf
Pseudo-rendering for Resolution and Topology-Invariant Cortical Parcellation.
MLMI@MICCAI (2)
Pablo Blasco Fernandez, Karthik Gopinath, John Williams-Ramirez, Rogeny Herisse, Lucas J. Deden-Binder, Dina Zemlyanker, Theressa Connors, Liana Kozanno, Derek H. Oakley, Bradley T. Hyman, Sean I. Young, Juan Eugenio Iglesias
2024 — conf
Quantifying White Matter Hyperintensity and Brain Volumes in Heterogeneous Clinical and Low-Field Portable MRI.
ISBI
Pablo Laso, Stefano Cerri, Annabel Sorby-Adams, Jennifer Guo, Farrah Mateen, Philipp Goebl, Jiaming Wu, Peirong Liu, Hongwei Bran Li, Sean I. Young, Benjamin Billot, Oula Puonti, Gordon Sze, Sam Payabavash, Adam DeHavenon, Kevin N. Sheth, Matthew S. Rosen, John Kirsch, Nicola Strisciuglio, Jelmer M. Wolterink, Arman Eshaghi, Frederik Barkhof, W. Taylor Kimberly, Juan Eugenio Iglesias
2023 J jnl
A Framework for Interpretability in Machine Learning for Medical Imaging.
CoRR
Alan Q. Wang, Batuhan K. Karaman, Heejong Kim, Jacob Rosenthal, Rachit Saluja, Sean I. Young, Mert R. Sabuncu
2023 J jnl
Diffeomorphic Multi-Resolution Deep Learning Registration for Applications in Breast MRI.
CoRR
Matthew G. French, Gonzalo D. Maso Talou, Thiranja P. Babarenda Gamage, Martyn P. Nash, Poul M. F. Nielsen, Anthony J. Doyle, Juan Eugenio Iglesias, Yaël Balbastre, Sean I. Young
2023 J jnl
Fully Convolutional Slice-to-Volume Reconstruction for Single-Stack MRI.
CoRR
Sean I. Young, Yaël Balbastre, Bruce Fischl, Polina Golland, Juan Eugenio Iglesias
2023 J jnl
Quantifying white matter hyperintensity and brain volumes in heterogeneous clinical and low-field portable MRI.
CoRR
Pablo Laso, Stefano Cerri, Annabel Sorby-Adams, Jennifer Guo, Farrah Mateen, Philipp Goebl, Jiaming Wu, Peirong Liu, Hongwei Li, Sean I. Young, Benjamin Billot, Oula Puonti, Gordon Sze, Sam Payabavash, Adam DeHavenon, Kevin N. Sheth, Matthew S. Rosen, John Kirsch, Nicola Strisciuglio, Jelmer M. Wolterink, Arman Eshaghi, Frederik Barkhof, W. Taylor Kimberly, Juan Eugenio Iglesias
2023 J jnl
SUD
CoRR
Matthew A. Chan, Sean I. Young, Christopher A. Metzler
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
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
Rethinking Satellite Data Merging: From Averaging to SNR Optimization.
IEEE Trans. Geosci. Remote. Sens.
Seokhyeon Kim, Ashish Sharma, Yi Y. Liu, Sean I. Young
2022 J jnl
SUD: Supervision by Denoising for Medical Image Segmentation.
CoRR
Sean I. Young, Adrian V. Dalca, Enzo Ferrante, Polina Golland, Bruce Fischl, Juan Eugenio Iglesias
2022 — conf
SuperWarp: Supervised Learning and Warping on U-Net for Invariant Subvoxel-Precise Registration.
WBIR
Sean I. Young, Yaël Balbastre, Adrian V. Dalca, William M. Wells III, Juan Eugenio Iglesias, Bruce Fischl
2022 J jnl
SuperWarp: Supervised Learning and Warping on U-Net for Invariant Subvoxel-Precise Registration.
CoRR
Sean I. Young, Yaël Balbastre, Adrian V. Dalca, William M. Wells III, Juan Eugenio Iglesias, Bruce Fischl
2022 J jnl
Transform Quantization for CNN Compression.
IEEE Trans. Pattern Anal. Mach. Intell.
Sean I. Young, Zhe Wang, David Taubman, Bernd Girod
2021 B conf
Rate-Distortion Optimized Coding for Efficient CNN Compression.
DCC
Wang Zhe, Jie Lin, Mohamed M. Sabry Aly, Sean I. Young, Vijay Chandrasekhar, Bernd Girod
2020 J jnl
Fast Optical Flow Extraction From Compressed Video.
IEEE Trans. Image Process.
Sean I. Young, Bernd Girod, David Taubman
2020 J jnl
Gaussian Lifting for Fast Bilateral and Nonlocal Means Filtering.
IEEE Trans. Image Process.
Sean I. Young, Bernd Girod, David Taubman
2020 J jnl
Graph Laplacian Regularization for Robust Optical Flow Estimation.
IEEE Trans. Image Process.
Sean I. Young, Aous Thabit Naman, David Taubman
2020 A* conf
Non-Line-of-Sight Surface Reconstruction Using the Directional Light-Cone Transform.
CVPR
Sean I. Young, David B. Lindell, Bernd Girod, David Taubman, Gordon Wetzstein
2020 J jnl
Transform Quantization for CNN Compression.
CoRR
Sean I. Young, Zhe Wang, David Taubman, Bernd Girod
2019 J jnl
COGL: Coefficient Graph Laplacians for Optimized JPEG Image Decoding.
IEEE Trans. Image Process.
Sean I. Young, Aous Thabit Naman, David Taubman
2019 A* conf
Solving Vision Problems via Filtering.
ICCV
Sean I. Young, Aous Thabit Naman, Bernd Girod, David Taubman
2018 Misc conf
Fast Optical Flow Extraction from Compressed Video.
DICTA
Sean I. Young, David Taubman
2018 Misc conf
Rate-Distortion Optimized Illumination Estimation for Wavelet-Based Video Coding.
ICASSP
Maryam Haghighat, Reji Mathew, Aous Thabit Naman, Sean I. Young, David Taubman
2016 C conf
Optimized decoding of JPEG images based on generalized graph Laplacians.
PCS
Sean I. Young, Aous Thabit Naman, Reji K. Mathew, David S. Taubman
2016 B conf
Optimizing block-coded motion parameters with block-partition graphs.
ICIP
Sean I. Young, Reji K. Mathew, David Taubman
2015 C conf
Optimization of optical flow for scalable coding.
PCS
Reji Mathew, Sean I. Young, David Taubman
2015 B conf
Rate-distortion optimized optical flow estimation.
ICIP
Sean I. Young, David S. Taubman
2014 C conf
Embedded coding of optical flow fields for scalable video compression.
MMSP
Sean I. Young, Reji Mathew, David S. Taubman
2013 — conf
Joint estimation of motion and arc breakpoints for scalable compression.
GlobalSIP
Sean I. Young, Reji Mathew, David S. Taubman
2013 C conf
Robust sum of Linear-Log Squared Differences distortion measure and its applications.
PCS
Sean I. Young, Reji Mathew, David S. Taubman