Sean Berry

According to our database, Sean Berry authored at least 8 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Time series clustering for grouping products based on price and sales patterns.

Sean Berry, Aysun Bozanta, Mucahit Cevik, Beste Bulut, Deniz Yigit, Fahrettin F. Gonen, Ayse Basar

Inf. Technol. Manag., March, 2026

2025

Predicting offer burden to optimize batch sizes in simultaneously expiring kidney offers.

Sean Berry, Berk Görgülü, Sait Tunç, Mucahit Cevik

Frontiers Artif. Intell., 2025

2024

Optimizing Hard-to-Place Kidney Allocation: A Machine Learning Approach to Center Ranking.

Sean Berry, Berk Görgülü, Sait Tunç, Mucahit Cevik, Matthew J. Ellis

CoRR, 2024

Interpreting time series forecasting models using model class reliance.

Sean Berry, Mucahit Cevik, Ozan Ozyegen

Proceedings of the 37th Canadian Conference on Artificial Intelligence, 2024

2021

Nested-block self-attention for robust radiotherapy planning segmentation.

Harini Veeraraghavan, Jue Jiang, Elguindi Sharif, Sean L. Berry, Ifeanyirochukwu Onochie, Aditya P. Apte, Laura Cervino, Joseph O. Deasy

CoRR, 2021

2020

PSIGAN: Joint Probabilistic Segmentation and Image Distribution Matching for Unpaired Cross-Modality Adaptation-Based MRI Segmentation.

Jue Jiang, Yu-Chi Hu, Neelam Tyagi, Andreas Rimner, Nancy Lee, Joseph O. Deasy, Sean Berry, Harini Veeraraghavan

IEEE Trans. Medical Imaging, 2020

2019

Local block-wise self attention for normal organ segmentation.

Jue Jiang, Elguindi Sharif, Hyemin Um, Sean Berry, Harini Veeraraghavan

CoRR, 2019

Integrating Cross-modality Hallucinated MRI with CT to Aid Mediastinal Lung Tumor Segmentation.

Jue Jiang, Jason Hu, Neelam Tyagi, Andreas Rimner, Sean L. Berry, Joseph O. Deasy, Harini Veeraraghavan

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019