Reza Abbasi Asl, PhD
|
Title(s) | Assistant Professor, Neurology |
---|
School | School of Medicine |
---|
Address | 675 Nelson Rising Lane San Francisco CA 94158
|
---|
Phone | 415-476-3199 |
---|
vCard | Download vCard |
---|
|
|
Title(s) | UCSF Weill Institute for Neurosciences |
---|
|
---|
|
Biography UC Berkeley | PhD | 05/2018 | Electrical Engineering and Computer Sciences | UC Berkeley | MSc | 05/2018 | Electrical Engineering and Computer Sciences | Sharif University of Technology | MSc | 01/2013 | Biomedical Engineering | Amirkabir University of Technology | BSc | 09/2010 | Electrical Engineering |
UC Berkeley, Department of Electrical Engineering and Computer Sciences | 2018 | | Eli Jury Award | UC Berkeley Graduate Division | 2017 | | May J. Koshland Fund in Memory of H.A. Jastro Award | Sharif University of Technology | 2010 | | Excellence Award in Biomedical Engineering | Amirkabir University of Technology | 2007 | | Excellence Award in Electrical Engineering |
Overview The Abbasi Lab develops models and algorithms based on principles in statistics and machine learning to understand functions of the brain and related disorders. To discover and model the functions of population of neurons, the lab studies large-scale datasets with a wide variety of modalities such as electrophysiology, calcium imaging, electron microscopy, and gene expression. In the next step and in order to bridge our understanding of the brain to the diagnosis, Abbasi Lab builds tools to study and visualize large-scale neurological clinical datasets. The goal is to uncover the relationship between health records and disease symptoms, and help clinicians benefit from the information hidden in the data. This involves analyzing and visualizing medical images and structured and unstructured clinical documents.
ORNG Applications Bibliographic
Altmetrics Details
PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media.
(Note that publications are often cited in additional ways that are not shown here.)
Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication.
Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication.
Some publications (especially newer ones and publications not in PubMed) might not yet be assigned Field or Translation tags.)
Click a Field or Translation tag to filter the publications.
-
Systematic Integration of Structural and Functional Data into Multi-scale Models of Mouse Primary Visual Cortex. Neuron. 2020 05 06; 106(3):388-403.e18.
Billeh YN, Cai B, Gratiy SL, Dai K, Iyer R, Gouwens NW, Abbasi-Asl R, Jia X, Siegle JH, Olsen SR, Koch C, Mihalas S, Arkhipov A. PMID: 32142648.
View in: PubMed Mentions: 5 Fields: Translation: AnimalsCells
-
Superficial Bound of the Depth Limit of Two-Photon Imaging in Mouse Brain. eNeuro. 2020 Jan/Feb; 7(1).
Takasaki K, Abbasi-Asl R, Waters J. PMID: 31907211.
View in: PubMed Mentions: 2 Fields:
-
Definitions, methods, and applications in interpretable machine learning. Proc Natl Acad Sci U S A. 2019 10 29; 116(44):22071-22080.
Murdoch WJ, Singh C, Kumbier K, Abbasi-Asl R, Yu B. PMID: 31619572.
View in: PubMed Mentions: 10 Fields:
-
3-Photon Calcium Imaging of Deep Cortical Layers for Functional Connectomics. Optics and the Brain. 2019.
Kevin Takasaki, Josh Larkin, Reza Abbasi-Asl, Dan Denman, Dan Millman, Saskia de Vries, Marc Takeno, Nuno M da Costa, R Clay Reid, Jack Waters. View Publication.
-
Brain-Computer Interface in Virtual Reality. 9th International IEEE EMBS Conference on Neural Engineering (NER). 2019.
R. Abbasi-Asl, M. Keshavarzi, D. Y. Chan. View Publication.
-
Visual physiology of the layer 4 cortical circuit in silico. PLoS Comput Biol. 2018 11; 14(11):e1006535.
Arkhipov A, Gouwens NW, Billeh YN, Gratiy S, Iyer R, Wei Z, Xu Z, Abbasi-Asl R, Berg J, Buice M, Cain N, da Costa N, de Vries S, Denman D, Durand S, Feng D, Jarsky T, Lecoq J, Lee B, Li L, Mihalas S, Ocker GK, Olsen SR, Reid RC, Soler-Llavina G, Sorensen SA, Wang Q, Waters J, Scanziani M, Koch C. PMID: 30419013.
View in: PubMed Mentions: 7 Fields: Translation: AnimalsCells
-
The DeepTune framework for modeling and characterizing neurons in visual cortex area V4. bioArxiv. 2018.
Reza Abbasi-Asl, Yuansi Chen, Adam Bloniarz, Michael Oliver, Ben DB Willmore, Jack L Gallant, Bin Yu. View Publication.
-
Robust Image Registration via Empirical Mode Decomposition. arXiv:1711.04247. 2018.
Reza Abbasi-Asl, Aboozar Ghaffari, Emad Fatemizadeh. View Publication.
-
Interpreting Convolutional Neural Networks Through Compression. NIPS 2017 Symposium on Interpretable Machine Learning. 2017.
Reza Abbasi-Asl, Bin Yu. View Publication.
-
Structural Compression of Convolutional Neural Networks. arXiv:1705.07356. 2017.
Reza Abbasi-Asl, Bin Yu. View Publication.
-
Do retinal ganglion cells project natural scenes to their principal subspace and whiten them?. IEEE Proceedings of 50th Asilomar Conference on Signals, Systems and Computers. 2016.
R. Abbasi-Asl, C. Pehlevan, B. Yu and D. B. Chklovskii. View Publication.
-
Automatic b-spline image registration using histogram-based landmark extraction. IEEE-EMBS Conference on Biomedical Engineering and Sciences. 2012.
Abdollah Ghanbari, Reza Abbasi-Asl, Aboozar Ghaffari, Emad Fatemizadeh. View Publication.
-
Estimation of muscle force with emg signals using hammerstein-wiener model. 5th Kuala Lumpur International Conference on Biomedical Engineering. 2011.
Reza Abbasi-Asl, Rahman Khorsandi, Shahrokh Farzampour, Edmond Zahedi. View Publication.
-
Hammerstein-Wiener model: A new approach to the estimation of formal neural information. Basic and Clinical Neuroscience. 4(3):45-51.
Reza Abbasi-Asl, Rahman Khorsandi, Bijan Vosooghi-Vahdat. View Publication.
This graph shows the total number of publications by year. To see the data as text, click here.
This graph shows the total number of publications by year. To return to the graph, click here.
Year | Publications |
---|
2011 | 1 | 2012 | 1 | 2016 | 1 | 2017 | 2 | 2018 | 3 | 2019 | 3 | 2020 | 2 |
This graph shows the number and percent of publications by field.
Fields are based on how the National Library of Medicine (NLM) classifies the publications' journals and might not represent the specific topics of the publications.
Note that an individual publication can be assigned to more than one field. As a result, the publication counts in this graph might add up to more than the number of publications the person has written.
To see the data as text, click here.
This graph shows the number and percent of publications by field.
Fields are based on how the National Library of Medicine (NLM) classifies the publications' journals and might not represent the specific topics of the publications.
Note that an individual publication can be assigned to more than one field. As a result, the publication counts in this graph might add up to more than the number of publications the person has written.
To see the data as text, click here.
newest
oldest
line numbers
double spacing
all authors
publication IDs
|
Derived automatically from this person's publications.
_
People in Profiles who have published with this person.
_
People who share similar concepts with this person.
_
Search Department
_
|