Gregory Holste

According to our database, Gregory Holste authored at least 13 papers between 2020 and 2024.

Collaborative distances:

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

2024

Biometric contrastive learning for data-efficient deep learning from electrocardiographic images.

Veer Sangha, Akshay Khunte, Gregory Holste, Bobak J. Mortazavi, Zhangyang Wang, Evangelos K. Oikonomou, Rohan Khera

J. Am. Medical Informatics Assoc., 2024

Deep Rib Fracture Instance Segmentation and Classification from CT on the RibFrac Challenge.

Jiancheng Yang, Rui Shi, Liang Jin, Xiaoyang Huang, Kaiming Kuang, Donglai Wei, Shixuan Gu, Jianying Liu, Pengfei Liu, Zhizhong Chai, Yongjie Xiao, Hao Chen, Liming Xu, Bang Du, Xiangyi Yan, Hao Tang, Adam M. Alessio, Gregory Holste, Jiapeng Zhang, Xiaoming Wang, Jianye He, Lixuan Che, Hanspeter Pfister, Ming Li, Bingbing Ni

CoRR, 2024

Improving Fairness of Automated Chest X-ray Diagnosis by Contrastive Learning.

Mingquan Lin, Tianhao Li, Zhaoyi Sun, Gregory Holste, Ying Ding, Fei Wang, George Shih, Yifan Peng

CoRR, 2024

2023

Radiomics-Guided Global-Local Transformer for Weakly Supervised Pathology Localization in Chest X-Rays.

Yan Han, Gregory Holste, Ying Ding, Ahmed H. Tewfik, Yifan Peng, Zhangyang Wang

IEEE Trans. Medical Imaging, March, 2023

Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge.

Gregory Holste, Yiliang Zhou, Song Wang, Ajay Jaiswal, Mingquan Lin, Sherry Zhuge, Yuzhe Yang, Dongkyun Kim, Trong-Hieu Nguyen Mau, Minh-Triet Tran, Jaehyup Jeong, Wongi Park, Jongbin Ryu, Feng Hong, Arsh Verma, Yosuke Yamagishi, Changhyun Kim, Hyeryeong Seo, Myungjoo Kang, Leo Anthony Celi, Zhiyong Lu, Ronald M. Summers, George Shih, Zhangyang Wang, Yifan Peng

CoRR, 2023

How Does Pruning Impact Long-Tailed Multi-label Medical Image Classifiers?

Gregory Holste, Ziyu Jiang, Ajay Jaiswal, Maria Hanna, Shlomo Minkowitz, Alan C. Legasto, Joanna G. Escalon, Sharon Steinberger, Mark Bittman, Thomas C. Shen, Ying Ding, Ronald M. Summers, George Shih, Yifan Peng, Zhangyang Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Improved Multimodal Fusion for Small Datasets with Auxiliary Supervision.

Gregory Holste, Douwe van der Wal, Hans Pinckaers, Rikiya Yamashita, Akinori Mitani, Andre Esteva

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

Self-Supervised Learning of Echocardiogram Videos Enables Data-Efficient Clinical Diagnosis.

Gregory Holste, Evangelos K. Oikonomou, Bobak Mortazavi, Zhangyang Wang, Rohan Khera

CoRR, 2022

Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study.

Gregory Holste, Song Wang, Ziyu Jiang, Thomas C. Shen, George Shih, Ronald M. Summers, Yifan Peng, Zhangyang Wang

Proceedings of the Data Augmentation, Labelling, and Imperfections, 2022

Avalanche decision schemes to improve pediatric rib fracture detection.

Jonathan Burkow, Gregory Holste, Jeffrey Otjen, Francisco Perez, Joseph Junewick, Adam M. Alessio

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

2021

End-to-End Learning of Fused Image and Non-Image Features for Improved Breast Cancer Classification from MRI.

Gregory Holste, Savannah C. Partridge, Habib Rahbar, Debosmita Biswas, Christoph I. Lee, Adam M. Alessio

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

Multi-class semantic segmentation of pediatric chest radiographs.

Gregory Holste, Ryan Sullivan, Michael D. Bindschadler, Nicholas Nagy, Adam M. Alessio

Proceedings of the Medical Imaging 2020: Image Processing, 2020

Deep learning methods for segmentation of lines in pediatric chest radiographs.

Ryan Sullivan, Gregory Holste, Jonathan Burkow, Adam M. Alessio

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020