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 | 67 | 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 | 21 | 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 | 20 | 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 | 15 | 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 | 11 | 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 | 9 | 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 | 6 | 2014 |
-VAEs can retain label information even at high compression E Fertig, A Arbabi, AA Alemi arXiv preprint arXiv:1812.02682, 2018 | 5 | 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 | 3 | 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 | 2 | 2017 |
R2d2: Relational text decoding with transformers A Arbabi, M Wang, LE Shafey, N Du, I Shafran arXiv preprint arXiv:2105.04645, 2021 | 1 | 2021 |
Machine Learning Methods for Acceleration of Rare Genetic Disease Diagnosis A Arbabi University of Toronto (Canada), 2022 | | 2022 |