Reza Abbasi-Asl

According to our database, Reza Abbasi-Asl authored at least 17 papers between 2016 and 2024.

Collaborative distances:

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

2024

Opportunities in deep learning methods development for computational biology.

Alex J. Lee, Reza Abbasi-Asl

CoRR, 2024

7T MRI Synthesization from 3T Acquisitions.

Qiming Cui, Duygu Tosun, Reza Abbasi-Asl

CoRR, 2024

Zero-shot sampling of adversarial entities in biomedical question answering.

R. Patrick Xian, Alex J. Lee, Vincent Wang, Qiming Cui, Russell Ro, Reza Abbasi-Asl

CoRR, 2024

7T MRI Synthesization from 3T Acquisitions.

Qiming Cui, Duygu Tosun, Pratik Mukherjee, Reza Abbasi-Asl

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

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

Frontiers Comput. Neurosci., February, 2023

Machine Learning for Uncovering Biological Insights in Spatial Transcriptomics Data.

Alex J. Lee, Robert Cahill, Reza Abbasi-Asl

CoRR, 2023

2022

Robust Registration of Medical Images in the Presence of Spatially-Varying Noise.

Reza Abbasi-Asl, Aboozar Ghaffari, Emad Fatemizadeh

Algorithms, 2022

2021

Structural Compression of Convolutional Neural Networks with Applications in Interpretability.

Reza Abbasi-Asl, Bin Yu

Frontiers Big Data, 2021

Multi-Modal Prototype Learning for Interpretable Multivariable Time Series Classification.

Gaurav R. Ghosal, Reza Abbasi-Asl

CoRR, 2021

2019

Interpretable machine learning: definitions, methods, and applications.

W. James Murdoch, Chandan Singh, Karl Kumbier, Reza Abbasi-Asl, Bin Yu

CoRR, 2019

Brain-Computer Interface in Virtual Reality.

Reza Abbasi-Asl, Mohammad Keshavarzi, Dorian Yao Chan

Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

2018

Interpretable Machine Learning with Applications in Neuroscience.

Reza Abbasi-Asl

PhD thesis, 2018

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, Saskia C. J. De Vries, Daniel Denman, Severine Durand, David Feng, Tim Jarsky, Jérôme A. Lecoq, Brian Lee, Lu Li, Stefan Mihalas, Gabriel Koch Ocker, Shawn R. Olsen, R. Clay Reid, Gilberto Soler-Llavina, Staci A. Sorensen, Quanxin Wang, Jack Waters, Massimo Scanziani, Christof Koch

PLoS Comput. Biol., 2018

2017

Robust Image Registration via Empirical Mode Decomposition.

Reza Abbasi-Asl, Aboozar Ghaffari, Emad Fatemizadeh

CoRR, 2017

Interpreting Convolutional Neural Networks Through Compression.

Reza Abbasi-Asl, Bin Yu

CoRR, 2017

Structural Compression of Convolutional Neural Networks Based on Greedy Filter Pruning.

Reza Abbasi-Asl, Bin Yu

CoRR, 2017

2016

Do retinal ganglion cells project natural scenes to their principal subspace and whiten them?

Reza Abbasi-Asl, Cengiz Pehlevan, Bin Yu, Dmitri B. Chklovskii

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016