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Jonathan Laserson
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2020 – today
- 2022
- [j4]Raouf Muhamedrahimov, Amir Bar, Jonathan Laserson, Ayelet Akselrod-Ballin, Eldad Elnekave:
Using Machine Learning to Identify Intravenous Contrast Phases on Computed Tomography. Comput. Methods Programs Biomed. 215: 106603 (2022) - 2021
- [i2]Ran Shadmi, Jonathan Laserson, Gil Elbaz:
Using Synthetic Images To Uncover Population Biases In Facial Landmarks Detection. CoRR abs/2111.01683 (2021)
2010 – 2019
- 2018
- [c4]Jonathan Laserson, Christine Dan Lantsman, Michal Cohen-Sfady, Itamar Tamir, Eli Goz, Chen Brestel, Shir Bar, Maya Atar, Eldad Elnekave:
TextRay: Mining Clinical Reports to Gain a Broad Understanding of Chest X-Rays. MICCAI (2) 2018: 553-561 - [i1]Jonathan Laserson, Christine Dan Lantsman, Michal Cohen-Sfady, Itamar Tamir, Eli Goz, Chen Brestel, Shir Bar, Maya Atar, Eldad Elnekave:
TextRay: Mining Clinical Reports to Gain a Broad Understanding of Chest X-rays. CoRR abs/1806.02121 (2018) - 2012
- [b1]Jonathan Laserson:
Bayesian assembly of reads from high throughput sequencing. Stanford University, USA, 2012 - 2011
- [j3]Jonathan Laserson:
From Neural Networks to Deep Learning: zeroing in on the human brain. XRDS 18(1): 29-34 (2011) - [j2]Jonathan Laserson, Vladimir Jojic, Daphne Koller:
Genovo: De Novo Assembly for Metagenomes. J. Comput. Biol. 18(3): 429-443 (2011) - [c3]Hani Neuvirth, Michal Ozery-Flato
, Jianying Hu, Jonathan Laserson, Martin S. Kohn, Shahram Ebadollahi, Michal Rosen-Zvi:
Toward personalized care management of patients at risk: the diabetes case study. KDD 2011: 395-403 - 2010
- [c2]Jonathan Laserson, Vladimir Jojic, Daphne Koller:
Genovo: De Novo Assembly for Metagenomes. RECOMB 2010: 341-356
2000 – 2009
- 2007
- [j1]Reuven Bar-Yehuda, Jonathan Laserson:
Exploiting locality: approximating sorting buffers. J. Discrete Algorithms 5(4): 729-738 (2007) - 2005
- [c1]Reuven Bar-Yehuda, Jonathan Laserson:
Exploiting Locality: Approximating Sorting Buffers. WAOA 2005: 69-81
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