Do retinal ganglion cells project natural scenes to their principal subspace and whiten them? - Reza Abbasi-Asl; Cengiz Pehlevan; Bin Yu 001; Dmitri B. Chklovskii (ACSSC, 2016)

Structural Compression of Convolutional Neural Networks Based on Greedy Filter Pruning. - Reza Abbasi-Asl; Bin Yu 001 (CoRR, 2017)

Interpreting Convolutional Neural Networks Through Compression. - Reza Abbasi-Asl; Bin Yu 001 (CoRR, 2017)

Robust Image Registration via Empirical Mode Decomposition. - Reza Abbasi-Asl; Aboozar Ghaffari; Emad Fatemizadeh (CoRR, 2017)

Visual physiology of the layer 4 cortical circuit in silico. - Anton Arkhipov; Nathan W. Gouwens; Yazan N. Billeh; Sergey L. Gratiy; Ramakrishnan Iyer; Ziqiang Wei; Zihao Xu; Reza Abbasi-Asl; Jim Berg; Michael A. Buice; Nicholas Cain; Nuno daCosta; et al. (PLoS Comput. Biol., 2018)

Interpretable Machine Learning with Applications in Neuroscience. - Reza Abbasi-Asl (2018)

Brain-Computer Interface in Virtual Reality. - Reza Abbasi-Asl; Mohammad Keshavarzi; Dorian Yao Chan (NER, 2019)

Interpretable machine learning: definitions, methods, and applications. - W. James Murdoch; Chandan Singh; Karl Kumbier; Reza Abbasi-Asl; Bin Yu 001 (CoRR, 2019)

Multi-Modal Prototype Learning for Interpretable Multivariable Time Series Classification. - Gaurav R. Ghosal; Reza Abbasi-Asl (CoRR, 2021)

Structural Compression of Convolutional Neural Networks with Applications in Interpretability. - Reza Abbasi-Asl; Bin Yu 001 (Frontiers Big Data, 2021)

Robust Registration of Medical Images in the Presence of Spatially-Varying Noise. - Reza Abbasi-Asl; Aboozar Ghaffari; Emad Fatemizadeh (Algorithms, 2022)

Machine Learning for Uncovering Biological Insights in Spatial Transcriptomics Data. - Alex J. Lee; Robert Cahill; Reza Abbasi-Asl (CoRR, 2023)

Editorial: Functional microcircuits in the brain and in artificial intelligent systems. - Jung H. Lee; Yoonsuck Choe; Salva Ardid; Reza Abbasi-Asl; Michelle McCarthy; Brian Hu 001 (Frontiers Comput. Neurosci., 2023)

7T MRI Synthesization from 3T Acquisitions. - Qiming Cui; Duygu Tosun; Pratik Mukherjee; Reza Abbasi-Asl (MICCAI (7), 2024)

Zero-shot sampling of adversarial entities in biomedical question answering. - R. Patrick Xian; Alex J. Lee; Vincent Wang 002; Qiming Cui; Russell Ro; Reza Abbasi-Asl (CoRR, 2024)

7T MRI Synthesization from 3T Acquisitions. - Qiming Cui; Duygu Tosun; Reza Abbasi-Asl (CoRR, 2024)

Opportunities in deep learning methods development for computational biology. - Alex J. Lee; Reza Abbasi-Asl (CoRR, 2024)

Assessing biomedical knowledge robustness in large language models by query-efficient sampling attacks. - Rui Patrick Xian; Alex J. Lee; Satvik Lolla; Vincent Wang 002; Russell Ro; Qiming Cui; Reza Abbasi-Asl (Trans. Mach. Learn. Res., 2024)

Compression-enabled interpretability of voxelwise encoding models. - Fatemeh Kamali; Amir Abolfazl Suratgar; Mohammad Bagher Menhaj; Reza Abbasi-Asl (PLoS Comput. Biol., 2025)

Robustness tests for biomedical foundation models should tailor to specification. - R. Patrick Xian; Noah R. Baker; Tom David; Qiming Cui; A Jay Holmgren; Stefan Bauer; Madhumita Sushil; Reza Abbasi-Asl (CoRR, 2025)

Measuring temporal effects of agent knowledge by date-controlled tool use. - R. Patrick Xian; Qiming Cui; Stefan Bauer; Reza Abbasi-Asl (CoRR, 2025)

Enhancing the Safety of Medical Vision-Language Models by Synthetic Demonstrations. - Zhiyu Xue; Reza Abbasi-Asl; Ramtin Pedarsani (CoRR, 2025)

Pre-trained Transformer-models using chronic invasive electrophysiology for symptom decoding without patient-individual training. - Timon Merk; Saeed Salehi; Richard M. Köhler; Qiming Cui; Maria Olaru; Amelia Hahn; Nicole R. Provenza; Simon Little; Reza Abbasi-Asl; Philip A. Starr; Wolf-Julian Neumann (CoRR, 2025)