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ORCIDMichal Rosen-Zvi
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- affiliation: Thomas J. Watson Research Center, Yorktown Heights, USA
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2020 – today
- 2025
[i8]Bharath Dandala, Michael M. Danziger, Ella Barkan, Tanwi Biswas, Viatcheslav Gurev, Jianying Hu, Matthew Madgwick, Akira Koseki, Tal Kozlovski, Michal Rosen-Zvi, Yishai Shimoni, Ching-Huei Tsou:
BMFM-RNA: An Open Framework for Building and Evaluating Transcriptomic Foundation Models. CoRR abs/2506.14861 (2025)- 2024
- [c24]Rikhil Seshadri, Jayant Siva, Angelica Bartholomew
, Clara Goebel, Gabriel Wallerstein-King, Beatriz López Morato, Nicholas Heller, Jason Scovell, Rebecca Campbell, Andrew Wood, Michal Ozery-Flato, Vesna Barros, Maria Gabrani, Michal Rosen-Zvi, Resha Tejpaul, Vidhyalakshmi Ramesh, Nikolaos Papanikolopoulos, Subodh Regmi, Ryan Ward, Robert Abouassaly, Steven C. Campbell, Erick Remer, Christopher J. Weight:
AI Age Discrepancy: A Novel Parameter for Frailty Assessment in Kidney Tumor Patients. CaPTion@MICCAI 2024: 167-175 - [i7]Rikhil Seshadri, Jayant Siva, Angelica Bartholomew, Clara Goebel, Gabriel Wallerstein-King, Beatriz López Morato, Nicholas Heller, Jason Scovell, Rebecca Campbell, Andrew Wood, Michal Ozery-Flato, Vesna Barros, Maria Gabrani, Michal Rosen-Zvi, Resha Tejpaul, Vidhyalakshmi Ramesh, Nikolaos Papanikolopoulos, Subodh Regmi, Ryan Ward, Robert Abouassaly, Steven C. Campbell, Erick Remer, Christopher J. Weight:
AI Age Discrepancy: A Novel Parameter for Frailty Assessment in Kidney Tumor Patients. CoRR abs/2407.00438 (2024) - [i6]Yoel Shoshan, Moshiko Raboh, Michal Ozery-Flato, Vadim Ratner, Alex Golts, Jeffrey K. Weber, Ella Barkan, Simona Rabinovici-Cohen, Sagi Polaczek, Ido Amos, Ben Shapira, Liam Hazan, Matan Ninio, Sivan Ravid, Michael M. Danziger, Joseph A. Morrone, Parthasarathy Suryanarayanan, Michal Rosen-Zvi, Efrat Hexter:
MAMMAL - Molecular Aligned Multi-Modal Architecture and Language. CoRR abs/2410.22367 (2024) - 2023
- [j9]Luca Malinverno, Vesna Barros, Francesco Ghisoni, Giovanni Visonà, Roman Kern, Philip J. Nickel, Barbara Elvira Ventura, Ilija Simic, Sarah Stryeck, Francesca Manni, César Ferri, Claire Jean-Quartier, Laura Genga, Gabriele Beate Schweikert, Mario Lovric, Michal Rosen-Zvi:
A historical perspective of biomedical explainable AI research. Patterns 4(9): 100830 (2023) - 2022
- [c23]Michal Chorev, Vesna Resende Barros, Adam Spiro, Ella Evron, Ella Barkan, Oren Kagan, Mika Amit, Michal Ozery-Flato, Ayelet Akselrod-Ballin, Varda Shalev, Michal Rosen-Zvi, Michal Guindy:
Leveraging Comprehensive Health Records for Breast Cancer Risk Prediction: A Binational Assessment. AMIA 2022 - [e2]Siva Teja Kakileti, Maria Gabrani, Geetha Manjunath, Michal Rosen-Zvi, Nathaniel Braman, Robert G. Schwartz, Alejandro F. Frangi, Pau-Choo Chung, Christopher J. Weight, Vekataraman Jagadish:
Artificial Intelligence over Infrared Images for Medical Applications and Medical Image Assisted Biomarker Discovery - First MICCAI Workshop, AIIIMA 2022, and First MICCAI Workshop, MIABID 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18 and 22, 2022, Proceedings. Lecture Notes in Computer Science 13602, Springer 2022, ISBN 978-3-031-19659-1 [contents] - 2021
- [j8]Jungkyu Park, Yoel Shoshan, Robert Martí, Pablo Gómez del Campo, Vadim Ratner, Daniel Khapun, Aviad Zlotnick, Ella Barkan, Flora Gilboa-Solomon, Jakub Chledowski, Jan Witowski, Alexandra Millet, Eric Kim, Alana Lewin, Kristine Pysarenko, Sardius Chen, Julia Goldberg, Shalin Patel, Anastasia Plaunova, Melanie Wegener, Stacey Wolfson, Jiyon Lee, Sana Hava, Sindhoora Murthy, Linda Du, Sushma Gaddam, Ujas Parikh, Laura Heacock, Linda Moy, Beatriu Reig, Michal Rosen-Zvi, Krzysztof J. Geras:
Lessons from the first DBTex Challenge. Nat. Mach. Intell. 3(8): 735-736 (2021) - [j7]Jannis Born, David Beymer, Deepta Rajan, Adam Coy, Vandana V. Mukherjee, Matteo Manica, Prasanth Prasanna, Deddeh Ballah, Michal Guindy, Dorith Shaham, Pallav L. Shah, Emmanouil Karteris, Jan L. Robertus, Maria Gabrani, Michal Rosen-Zvi:
On the role of artificial intelligence in medical imaging of COVID-19. Patterns 2(6): 100269 (2021) - [j6]Jannis Born, David Beymer, Deepta Rajan, Adam Coy, Vandana V. Mukherjee, Matteo Manica, Prasanth Prasanna, Deddeh Ballah, Michal Guindy, Dorith Shaham, Pallav L. Shah, Emmanouil Karteris, Jan L. Robertus, Maria Gabrani, Michal Rosen-Zvi:
On the role of artificial intelligence in medical imaging of COVID-19. Patterns 2(8): 100330 (2021) - [c22]Vesna Resende Barros, Victor Akinwande, Itay Manes, Osnat Bar-Shira, Celia Cintas, Yishai Shimoni, Michal Rosen-Zvi:
Towards effect estimation of COVID-19 Non-pharmaceutical Interventions. AMIA 2021 - [c21]Michal Ozery-Flato, Ora Pinchasov, Miel Dabush-Kasa, Efrat Hexter, Gabriel Chodick, Michal Guindy, Michal Rosen-Zvi:
Predictive and Causal Analysis of No-Shows for Medical Exams During COVID-19: A Case Study of Breast Imaging in a Nationwide Israeli Health Organization. AMIA 2021 - [c20]Simona Rabinovici-Cohen, Xosé M. Fernández, Beatriz Grandal Rejo, Efrat Hexter, Oliver Hijano Cubelos, Juha Pajula, Harri Pölönen, Fabien Reyal, Michal Rosen-Zvi:
Prediction of Five-Year Breast Cancer Recurrence in Women Treated with Neoadjuvant Chemotherapy. AMIA 2021 - [c19]Michal Rosen-Zvi, Anil Jain, Eileen Koski:
How the COVID-19 Pandemic Accelerated AI Technology Development and Adoption in Healthcare: Lessons Learned. AMIA 2021 - [c18]Maria Gabrani, Ender Konukoglu, David Beymer, Gustavo Carneiro, Jannis Born, Michal Guindy, Michal Rosen-Zvi:
Lessons Learned from the Development and Application of Medical Imaging-Based AI Technologies for Combating COVID-19: Why Discuss, What Next. CLIP/DCL/LL-COVID19/PPML@MICCAI 2021: 133-140 - [c17]Tal Tlusty, Michal Ozery-Flato, Vesna Resende Barros, Ella Barkan, Mika Amit, David Gruen, Michal Guindy, Tal Arazi, Mona Rozin, Michal Rosen-Zvi, Efrat Hexter:
Pre-biopsy Multi-class Classification of Breast Lesion Pathology in Mammograms. MLMI@MICCAI 2021: 277-286 - [e1]Cristina Oyarzun Laura, M. Jorge Cardoso, Michal Rosen-Zvi, Georgios Kaissis, Marius George Linguraru, Raj Shekhar, Stefan Wesarg, Marius Erdt, Klaus Drechsler, Yufei Chen, Shadi Albarqouni, Spyridon Bakas, Bennett A. Landman, Nicola Rieke, Holger Roth, Xiaoxiao Li, Daguang Xu, Maria Gabrani, Ender Konukoglu, Michal Guindy, Daniel Rueckert, Alexander Ziller, Dmitrii Usynin, Jonathan Passerat-Palmbach:
Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning - 10th Workshop, CLIP 2021, Second Workshop, DCL 2021, First Workshop, LL-COVID19 2021, and First Workshop and Tutorial, PPML 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27 and October 1, 2021, Proceedings. Lecture Notes in Computer Science 12969, Springer 2021, ISBN 978-3-030-90873-7 [contents] - 2020
- [c16]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 - [i5]Parthasarathy Suryanarayanan, Ching-Huei Tsou, Ananya Poddar, Diwakar Mahajan, Bharath Dandala, Piyush Madan, Anshul Agrawal, Charles Wachira, Samuel Mogaka Osebe, Osnat Bar-Shira, Clifton Kipchirchir, Sharon Okwako, William Ogallo, Fred Otieno, Timothy Nyota, Fiona Matu, Vesna Resende Barros, Daniel Shats, Oren Kagan, Sekou L. Remy, Oliver Bent, Shilpa Mahatma, Aisha Walcott-Bryant, Divya Pathak, Michal Rosen-Zvi:
WNTRAC: Artificial Intelligence Assisted Tracking of Non-pharmaceutical Interventions Implemented Worldwide for COVID-19. CoRR abs/2009.07057 (2020)
2010 – 2019
- 2019
- [i4]Tal Kachman, Michal Moshkovitz, Michal Rosen-Zvi:
Novel Uncertainty Framework for Deep Learning Ensembles. CoRR abs/1904.04917 (2019) - 2017
- [j5]Dan Gutfreund, Aryeh Kontorovich, Ran Levy, Michal Rosen-Zvi:
Boosting conditional probability estimators. Ann. Math. Artif. Intell. 79(1-3): 129-144 (2017) - 2015
- [c15]Yair Lakretz, Gal Chechik, Naama Friedmann, Michal Rosen-Zvi:
Probabilistic Graphical Models of Dyslexia. KDD 2015: 1919-1928 - 2014
- [c14]Erin Falconer, Tal El-Hay, Dimitrios Alevras, John Docherty, Chen Yanover, Alan Kalton, Yaara Goldschmidt, Michal Rosen-Zvi:
Integrated Multisystem Analysis in a Mental Health and Criminal Justice Ecosystem. AMIA 2014 - [c13]Dan Gutfreund, Aryeh Kontorovich, Ran Levy, Michal Rosen-Zvi:
Boosting Conditional Probability Estimators. ISAIM 2014 - [c12]Michal Rosen-Zvi, Lavi Shpigelman, Alan Kalton, Omer Weissbrod, Saheed Akindeinde, Soren Benefeldt, Andrew Bentley, Terry Everett, Joseph Jajinskiji, Emmanuel Kweyu, Chalapathy Neti, Joe Saab, Osamuyimen Stewart, Malcolm Ward, Guo Tong Xie:
Estimating the Impact of Prevention Action: A simulation Model of Cervical Cancer Progression. MIE 2014: 288-292 - 2012
- [c11]Jasmina Bogojeska, Daniel Stöckel, Maurizio Zazzi, Rolf Kaiser, Francesca Incardona, Michal Rosen-Zvi, Thomas Lengauer:
History-alignment models for bias-aware prediction of virological response to HIV combination therapy. AISTATS 2012: 118-126 - [i3]Amit Gruber, Michal Rosen-Zvi, Yair Weiss:
Latent Topic Models for Hypertext. CoRR abs/1206.3254 (2012) - [i2]Michal Rosen-Zvi, Michael I. Jordan, Alan L. Yuille:
The DLR Hierarchy of Approximate Inference. CoRR abs/1207.1417 (2012) - [i1]Michal Rosen-Zvi, Thomas L. Griffiths, Mark Steyvers, Padhraic Smyth:
The Author-Topic Model for Authors and Documents. CoRR abs/1207.4169 (2012) - 2011
- [j4]Joseph P. Bigus, Murray Campbell, Boaz Carmeli, Melissa Cefkin, Henry Chang, Ching-Hua Chen-Ritzo, William F. Cody, Shahram Ebadollahi, Alexandre V. Evfimievski, Ariel Farkash, Susanne Glissmann, David Gotz, Tyrone Grandison, Daniel Gruhl, Peter J. Haas, Mark J. H. Hsiao, Pei-Yun Sabrina Hsueh, Jianying Hu, Joseph M. Jasinski, James H. Kaufman, Cheryl A. Kieliszewski, Martin S. Kohn, Sarah E. Knoop, Paul P. Maglio, Ronald L. Mak, Haim Nelken, Chalapathy Neti, Hani Neuvirth, Yue Pan, Yardena Peres, Sreeram Ramakrishnan, Michal Rosen-Zvi, Sondra R. Renly, Pat Selinger, Amnon Shabo, Robert Sorrentino, Jimeng Sun, Tanveer Fathima Syeda-Mahmood, Wang Chiew Tan, Ying Y. Y. Tao, Reza Yaesoubi, Xinxin Zhu:
Information technology for healthcare transformation. IBM J. Res. Dev. 55(5): 6 (2011) - [j3]Ehud Aharoni, Shai Fine, Yaara Goldschmidt, Ofer Lavi, Oded Margalit, Michal Rosen-Zvi, Lavi Shpigelman:
Smarter log analysis. IBM J. Res. Dev. 55(5): 10 (2011) - [c10]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
- [j2]Michal Rosen-Zvi, Chaitanya Chemudugunta, Thomas L. Griffiths, Padhraic Smyth, Mark Steyvers:
Learning author-topic models from text corpora. ACM Trans. Inf. Syst. 28(1): 4:1-4:38 (2010)
2000 – 2009
- 2009
- [c9]Michal Rosen-Zvi, Ehud Aharoni, Joachim Selbig:
HIV-1 Drug Resistance Prediction and Therapy Optimization: A Case Study for the Application of Classification and Clustering Methods. Similarity-Based Clustering 2009: 185-201 - 2008
- [c8]Michal Rosen-Zvi, André Altmann, Mattia Prosperi, Ehud Aharoni, Hani Neuvirth, Anders Sönnerborg, Eugen Schülter, Daniel Struck, Yardena Peres, Francesca Incardona, Rolf Kaiser, Maurizio Zazzi, Thomas Lengauer:
Selecting anti-HIV therapies based on a variety of genomic and clinical factors. ISMB 2008: 399-406 - [c7]Amit Gruber, Michal Rosen-Zvi, Yair Weiss:
Latent Topic Models for Hypertext. UAI 2008: 230-239 - 2007
- [c6]Amit Gruber, Yair Weiss, Michal Rosen-Zvi:
Hidden Topic Markov Models. AISTATS 2007: 163-170 - 2005
- [j1]Pierre Baldi, Michal Rosen-Zvi:
On the relationship between deterministic and probabilistic directed Graphical models: From Bayesian networks to recursive neural networks. Neural Networks 18(8): 1080-1086 (2005) - [c5]Michal Rosen-Zvi, Michael I. Jordan, Alan L. Yuille:
The DLR Hierarchy of Approximate Inference. UAI 2005: 493-500 - 2004
- [c4]Max Welling, Michal Rosen-Zvi, Yee Whye Teh:
Approximate inference by Markov chains on union spaces. ICML 2004 - [c3]Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, Thomas Griffiths:
Probabilistic author-topic models for information discovery. KDD 2004: 306-315 - [c2]Max Welling, Michal Rosen-Zvi, Geoffrey E. Hinton:
Exponential Family Harmoniums with an Application to Information Retrieval. NIPS 2004: 1481-1488 - [c1]Michal Rosen-Zvi, Thomas L. Griffiths, Mark Steyvers, Padhraic Smyth:
The Author-Topic Model for Authors and Documents. UAI 2004: 487-494
Coauthor Index
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