Matthew Rosenblatt

According to our database, Matthew Rosenblatt authored at least 6 papers between 2022 and 2023.

Collaborative distances:

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

2023

Cross Atlas Remapping via Optimal Transport (CAROT): Creating connectomes for different atlases when raw data is not available.

Javid Dadashkarimi, Amin Karbasi, Qinghao Liang, Matthew Rosenblatt, Stephanie Noble, Maya Foster, Raimundo X. Rodriguez, Brendan Adkinson, Jean Ye, Huili Sun, Chris Camp, Michael Farruggia, Link Tejavibulya, Wei Dai, Rongtao Jiang, Angeliki Pollatou, Dustin Scheinost

Medical Image Anal., August, 2023

Connectome-based machine learning models are vulnerable to subtle data manipulations.

Matthew Rosenblatt, Raimundo X. Rodriguez, Margaret L. Westwater, Wei Dai, Corey Horien, Abigail S. Greene, R. Todd Constable, Stephanie Noble, Dustin Scheinost

Patterns, July, 2023

Enhancement attacks in biomedical machine learning.

Matthew Rosenblatt, Javid Dadashkarimi, Dustin Scheinost

CoRR, 2023

Gradient-Based Enhancement Attacks in Biomedical Machine Learning.

Matthew Rosenblatt, Javid Dadashkarimi, Dustin Scheinost

Proceedings of the Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging, 2023

Stacking multiple optimal transport policies to map functional connectomes.

Javid Dadashkarimi, Matthew Rosenblatt, Amin Karbasi, Dustin Scheinost

Proceedings of the 57th Annual Conference on Information Sciences and Systems, 2023

2022

Data Poisoning Attack and Defenses in Connectome-Based Predictive Models.

Matthew Rosenblatt, Dustin Scheinost

Proceedings of the Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data Analysis for Biomedical Imaging, 2022