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Journal Articles
- 2024
[j3]Michael Roberts
, Alon Hazan, Sören Dittmer, James H. F. Rudd, Carola-Bibiane Schönlieb:
The curious case of the test set AUROC. Nat. Mac. Intell. 6(4): 373-376 (2024)- [j2]Michael Roberts, Alon Hazan, Sören Dittmer, James H. F. Rudd, Carola-Bibiane Schönlieb:
Publisher Correction: The curious case of the test set AUROC. Nat. Mac. Intell. 6(4): 494 (2024) - 2003
- [j1]Alon Hazan, Zinoviy Landsman, Udi E. Makov:
Robustness via a mixture of exponential power distributions. Comput. Stat. Data Anal. 42(1-2): 111-121 (2003)
Conference and Workshop Papers
- 2020
- [c3]Michal Chorev, Yoel Shoshan, Ayelet Akselrod-Ballin, Adam Spiro, Shaked Naor, Alon Hazan, Vesna Resende Barros, Iuliana Weinstein, Esma Herzel, Varda Shalev, Michal Guindy, Michal Rosen-Zvi:
The Case of Missed Cancers: Applying AI as a Radiologist's Safety Net. MICCAI (6) 2020: 220-229 - 2018
- [c2]Shaked Perek, Alon Hazan, Ella Barkan, Ayelet Akselrod-Ballin:
Siamese Network for Dual-View Mammography Mass Matching. RAMBO+BIA+TIA@MICCAI 2018: 55-63 - 2017
- [c1]Ayelet Akselrod-Ballin, Leonid Karlinsky, Alon Hazan, Ran Bakalo, Ami Ben Horesh, Yoel Shoshan, Ella Barkan:
Deep Learning for Automatic Detection of Abnormal Findings in Breast Mammography. DLMIA/ML-CDS@MICCAI 2017: 321-329
Informal and Other Publications
- 2023
- [i4]Michael Roberts, Alon Hazan, Sören Dittmer, James H. F. Rudd, Carola-Bibiane Schönlieb:
The curious case of the test set AUROC. CoRR abs/2312.16188 (2023) - 2018
- [i3]Alon Hazan, Yoel Shoshan, Daniel Khapun, Roy Aladjem, Vadim Ratner:
AdapterNet - learning input transformation for domain adaptation. CoRR abs/1805.11601 (2018) - [i2]Shaked Perek, Alon Hazan, Ella Barkan, Ayelet Akselrod-Ballin:
Mammography Dual View Mass Correspondence. CoRR abs/1807.00637 (2018) - 2017
- [i1]Alon Hazan, Yuval Harel, Ron Meir:
Learning an attention model in an artificial visual system. CoRR abs/1701.07398 (2017)
Coauthor Index
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