Michal Rosen-Zvi

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 16

Top Topics

Probabilistic Graphical Models

Lessons Learned

Top Venues

Ann. Math. Artif. Intell.

Publications

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 Weight
AI Age Discrepancy: A Novel Parameter for Frailty Assessment in Kidney Tumor Patients. CoRR (2024)
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) (2023)
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)
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)
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) (2021)
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)
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)
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)
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) (2021)
Michal Rosen-Zvi, Anil Jain, Eileen Koski
How the COVID-19 Pandemic Accelerated AI Technology Development and Adoption in Healthcare: Lessons Learned. AMIA (2021)
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) (2021)
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)
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)
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 (2020)
Tal Kachman, Michal Moshkovitz, Michal Rosen-Zvi
Novel Uncertainty Framework for Deep Learning Ensembles. CoRR (2019)
Dan Gutfreund, Aryeh Kontorovich, Ran Levy, Michal Rosen-Zvi
Boosting conditional probability estimators. Ann. Math. Artif. Intell. 79 (1-3) (2017)
Yair Lakretz, Gal Chechik, Naama Friedmann, Michal Rosen-Zvi
Probabilistic Graphical Models of Dyslexia. KDD (2015)
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)
Dan Gutfreund, Aryeh Kontorovich, Ran Levy, Michal Rosen-Zvi
Boosting Conditional Probability Estimators. ISAIM (2014)
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)
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)
Amit Gruber, Michal Rosen-Zvi, Yair Weiss
Latent Topic Models for Hypertext CoRR (2012)
Michal Rosen-Zvi, Thomas L. Griffiths, Mark Steyvers, Padhraic Smyth
The Author-Topic Model for Authors and Documents CoRR (2012)
Michal Rosen-Zvi, Michael I. Jordan, Alan L. Yuille
The DLR Hierarchy of Approximate Inference CoRR (2012)
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)
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) (2011)
Ehud Aharoni, Shai Fine, Yaara Goldschmidt, Ofer Lavi, Oded Margalit, Michal Rosen-Zvi, Lavi Shpigelman
Smarter log analysis. IBM J. Res. Dev. 55 (5) (2011)
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) (2010)
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)
Amit Gruber, Michal Rosen-Zvi, Yair Weiss
Latent Topic Models for Hypertext. UAI (2008)
Michal Rosen-Zvi, André Altmann, Mattia C. F. 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)
Amit Gruber, Yair Weiss, Michal Rosen-Zvi
Hidden Topic Markov Models. AISTATS (2007)
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) (2005)
Michal Rosen-Zvi, Michael I. Jordan, Alan L. Yuille
The DLR Hierarchy of Approximate Inference. UAI (2005)
Michal Rosen-Zvi, Thomas L. Griffiths, Mark Steyvers, Padhraic Smyth
The Author-Topic Model for Authors and Documents. UAI (2004)
Max Welling, Michal Rosen-Zvi, Geoffrey E. Hinton
Exponential Family Harmoniums with an Application to Information Retrieval. NIPS (2004)
Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, Thomas L. Griffiths
Probabilistic author-topic models for information discovery. KDD (2004)
Max Welling, Michal Rosen-Zvi, Yee Whye Teh
Approximate inference by Markov chains on union spaces. ICML (2004)