STAR-VAE: Latent Variable Transformers for Scalable and Controllable Molecular Generation
- Bc Kwon
- Ben Shapira
- et al.
- 2026
- AAAI 2026
Moshiko Raboh
Bio
Moshiko Raboh is a research scientist and software architect at IBM Research. He is currently leading a task force focused on advancing biomedical foundation-models technologies. Moshiko joined IBM Research four years ago. Before joining IBM, he was an embedded software architect at Broadcom. Throughout his career, he has gained valuable expertise in software architecture and deep learning, including various modalities such as vision and sequences. Moshiko holds an M.Sc in computer science specializing in deep learning and image understanding. And his double-major computer science and physics B.Sc from Tel Aviv University.
Publications
Preoperative kidney tumor risk estimation with AI: From logistic regression to transformer
- Vesna Barros
- Nour Abdallah
- et al.
- 2025
- PLoS ONE
FuseMedML: a framework for accelerated discovery in machine learning based biomedicine
- Alex Golts
- Moshiko Raboh
- et al.
- 2023
- J. Open Source Softw.
Evaluation of an Automated Method to Detect Missed Focal Liver Findings In Single-Phase CT Images of The Abdomen
- Pedro L. Esquinas
- Yen-Fu Luo
- et al.
- 2022
- ISBI 2022
Context in Medical Imaging: The Case of Focal Liver Lesion Classification
- Moshiko Raboh
- Dana Levanony
- et al.
- 2021
- SPIE Medical Imaging 2021
Top collaborators
SR
Simona Rabinovici-Cohen
Research Scientist and Architect
EH
Efrat Hexter
STSM, Manager, AI for HCLS
MR
Michal Rosen-Zvi
Director, Healthcare and Life Sciences at IBM Research
JH
Jianying Hu
IBM Fellow; Director HCLS Research; Global Sci. Leader AI for Health; Exec. Partner for Cleveland Clinic