Aryan Arbabi
Aryan Arbabi
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Identifying clinical terms in medical text using ontology-guided machine learning
A Arbabi, DR Adams, S Fidler, M Brudno
JMIR medical informatics 7 (2), e12596, 2019
Probabilistic method for detecting copy number variation in a fetal genome using maternal plasma sequencing
L Rampášek, A Arbabi, M Brudno
Bioinformatics 30 (12), i212-i218, 2014
Automatically disambiguating medical acronyms with ontology-aware deep learning
M Skreta, A Arbabi, J Wang, E Drysdale, J Kelly, D Singh, M Brudno
Nature communications 12 (1), 5319, 2021
Training without training data: Improving the generalizability of automated medical abbreviation disambiguation
M Skreta, A Arbabi, J Wang, M Brudno
Machine Learning for Health Workshop, 233-245, 2020
Phenopad: building AI enabled note-taking interfaces for patient encounters
J Wang, J Yang, H Zhang, H Lu, M Skreta, M Husić, A Arbabi, N Sultanum, ...
NPJ digital medicine 5 (1), 12, 2022
Cell-free DNA fragment-size distribution analysis for non-invasive prenatal CNV prediction
A Arbabi, L Rampášek, M Brudno
Bioinformatics 32 (11), 1662-1669, 2016
ARYANA: Aligning Reads by Yet Another Approach
M Gholami, A Arbabi, A Sharifi-Zarchi, H Chitsaz, M Sadeghi
BMC bioinformatics 15, 1-10, 2014
-VAEs can retain label information even at high compression
E Fertig, A Arbabi, AA Alemi
arXiv preprint arXiv:1812.02682, 2018
Fast CPU-based DNA exact sequence aligner
A Arbabi, M Gholami, M Varmazyar, S Daneshpajouh
Tenth ACM/IEEE International Conference on Formal Methods and Models for …, 2012
Noninvasive prenatal detection of trisomy 21 by targeted semiconductor sequencing: a technical feasibility study
Y Xi, A Arbabi, AJM McNaughton, A Hamilton, D Hull, H Perras, T Chiu, ...
Fetal diagnosis and therapy 42 (4), 302-310, 2017
R2d2: Relational text decoding with transformers
A Arbabi, M Wang, LE Shafey, N Du, I Shafran
arXiv preprint arXiv:2105.04645, 2021
Machine Learning Methods for Acceleration of Rare Genetic Disease Diagnosis
A Arbabi
University of Toronto (Canada), 2022
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