David S. Helminiak

According to our database, David S. Helminiak authored at least 5 papers between 2018 and 2026.

Collaborative distances:

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

2026

Self-Learned Representation-Guided Latent Diffusion Model for Breast Cancer Classification in Deep Ultraviolet Whole Surface Images.

Pouya Afshin, David S. Helminiak, Tianling Niu, Julie Jorns, Tina Yen, Bing Yu, Dong Hye Ye

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

Breast Cancer Classification in Deep Ultraviolet Fluorescence Images Using a Patch-Level Vision Transformer Framework.

Pouya Afshin, David S. Helminiak, Tongtong Lu, Tina Yen, Julie Jorns, Mollie Patton, Bing Yu, Dong Hye Ye

CoRR, May, 2025

2023

Deep Learning Approach for Dynamic Sampling for Multichannel Mass Spectrometry Imaging.

David S. Helminiak, Hang Hu, Julia Laskin, Dong Hye Ye

IEEE Trans. Computational Imaging, 2023

2021

Deep Learning Approach for Dynamic Sparse Sampling for High-Throughput Mass Spectrometry Imaging.

David S. Helminiak, Hang Hu, Julia Laskin, Dong Hye Ye

Proceedings of the Computational Imaging XIX, Virtual Event, 11-28 January 2021., 2021

2018

Resolving the angular velocity of two-dimensional particle interactions induced within a rotary tumbler.

Nathaniel S. Helminiak, David S. Helminiak, Vikram Cariapa, John P. Borg

J. Vis., 2018