Michal Rosen-Zvi

43 papers A* 4A 6Misc 7Journal 17Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	BMFM-RNA: An Open Framework for Building and Evaluating Transcriptomic Foundation Models. CoRR 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
2024	—	`conf`	AI Age Discrepancy: A Novel Parameter for Frailty Assessment in Kidney Tumor Patients. CaPTion@MICCAI 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
2024	J	`jnl`	AI Age Discrepancy: A Novel Parameter for Frailty Assessment in Kidney Tumor Patients. CoRR 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
2024	J	`jnl`	MAMMAL - Molecular Aligned Multi-Modal Architecture and Language. CoRR 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
2023	J	`jnl`	A historical perspective of biomedical explainable AI research. Patterns 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
2022	—	`ed.`	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 AIIIMA/MIABID@MICCAI 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
2022	Misc	`conf`	Leveraging Comprehensive Health Records for Breast Cancer Risk Prediction: A Binational Assessment. AMIA 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
2021	—	`ed.`	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 CLIP/DCL/LL-COVID19/PPML@MICCAI 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
2021	Misc	`conf`	How the COVID-19 Pandemic Accelerated AI Technology Development and Adoption in Healthcare: Lessons Learned. AMIA Michal Rosen-Zvi, Anil Jain, Eileen Koski
2021	—	`conf`	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 Maria Gabrani, Ender Konukoglu, David Beymer, Gustavo Carneiro, Jannis Born, Michal Guindy, Michal Rosen-Zvi
2021	J	`jnl`	Lessons from the first DBTex Challenge. Nat. Mach. Intell. 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 E. 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
2021	J	`jnl`	On the role of artificial intelligence in medical imaging of COVID-19. Patterns 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
2021	J	`jnl`	On the role of artificial intelligence in medical imaging of COVID-19. Patterns 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
2021	—	`conf`	Pre-biopsy Multi-class Classification of Breast Lesion Pathology in Mammograms. MLMI@MICCAI 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
2021	Misc	`conf`	Prediction of Five-Year Breast Cancer Recurrence in Women Treated with Neoadjuvant Chemotherapy. AMIA Simona Rabinovici-Cohen, Xosé M. Fernández, Beatriz Grandal Rejo, Efrat Hexter, Oliver Hijano Cubelos, Juha Pajula, Harri Pölönen, Fabien Reyal, Michal Rosen-Zvi
2021	Misc	`conf`	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 Michal Ozery-Flato, Ora Pinchasov, Miel Dabush-Kasa, Efrat Hexter, Gabriel Chodick, Michal Guindy, Michal Rosen-Zvi
2021	Misc	`conf`	Towards effect estimation of COVID-19 Non-pharmaceutical Interventions. AMIA Vesna Resende Barros, Victor Akinwande, Itay Manes, Osnat Bar-Shira, Celia Cintas, Yishai Shimoni, Michal Rosen-Zvi
2020	—	`conf`	The Case of Missed Cancers: Applying AI as a Radiologist's Safety Net. MICCAI (6) 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
2020	J	`jnl`	WNTRAC: Artificial Intelligence Assisted Tracking of Non-pharmaceutical Interventions Implemented Worldwide for COVID-19. CoRR 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
2019	J	`jnl`	Novel Uncertainty Framework for Deep Learning Ensembles. CoRR Tal Kachman, Michal Moshkovitz, Michal Rosen-Zvi
2017	J	`jnl`	Boosting conditional probability estimators. Ann. Math. Artif. Intell. Dan Gutfreund, Aryeh Kontorovich, Ran Levy, Michal Rosen-Zvi
2015	A*	`conf`	Probabilistic Graphical Models of Dyslexia. KDD Yair Lakretz, Gal Chechik, Naama Friedmann, Michal Rosen-Zvi
2014	Misc	`conf`	Boosting Conditional Probability Estimators. ISAIM Dan Gutfreund, Aryeh Kontorovich, Ran Levy, Michal Rosen-Zvi
2014	—	`conf`	Estimating the Impact of Prevention Action: A simulation Model of Cervical Cancer Progression. MIE Michal Rosen-Zvi, Lavi Shpigelman, Alan Kalton, Omer Weissbrod, Saheed Ojo Akindeinde, Soren Benefeldt, Andrew Bentley, Terry Everett, Joseph Jajinskiji, Emmanuel Kweyu, Chalapathy Neti, Joe Saab, Osamuyimen Stewart, Malcolm Ward, Guo Tong Xie
2014	Misc	`conf`	Integrated Multisystem Analysis in a Mental Health and Criminal Justice Ecosystem. AMIA Erin Falconer, Tal El-Hay, Dimitrios Alevras, John Docherty, Chen Yanover, Alan Kalton, Yaara Goldschmidt, Michal Rosen-Zvi
2012	A	`conf`	History-alignment models for bias-aware prediction of virological response to HIV combination therapy. AISTATS Jasmina Bogojeska, Daniel Stöckel, Maurizio Zazzi, Rolf Kaiser, Francesca Incardona, Michal Rosen-Zvi, Thomas Lengauer
2012	J	`jnl`	Latent Topic Models for Hypertext CoRR Amit Gruber, Michal Rosen-Zvi, Yair Weiss
2012	J	`jnl`	The Author-Topic Model for Authors and Documents CoRR Michal Rosen-Zvi, Thomas L. Griffiths, Mark Steyvers, Padhraic Smyth
2012	J	`jnl`	The DLR Hierarchy of Approximate Inference CoRR Michal Rosen-Zvi, Michael I. Jordan, Alan L. Yuille
2011	J	`jnl`	Information technology for healthcare transformation. IBM J. Res. Dev. 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
2011	J	`jnl`	Smarter log analysis. IBM J. Res. Dev. Ehud Aharoni, Shai Fine, Yaara Goldschmidt, Ofer Lavi, Oded Margalit, Michal Rosen-Zvi, Lavi Shpigelman
2011	A*	`conf`	Toward personalized care management of patients at risk: the diabetes case study. KDD Hani Neuvirth, Michal Ozery-Flato, Jianying Hu, Jonathan Laserson, Martin S. Kohn, Shahram Ebadollahi, Michal Rosen-Zvi
2010	J	`jnl`	Learning author-topic models from text corpora. ACM Trans. Inf. Syst. Michal Rosen-Zvi, Chaitanya Chemudugunta, Thomas L. Griffiths, Padhraic Smyth, Mark Steyvers
2009	—	`conf`	HIV-1 Drug Resistance Prediction and Therapy Optimization: A Case Study for the Application of Classification and Clustering Methods. Similarity-Based Clustering Michal Rosen-Zvi, Ehud Aharoni, Joachim Selbig
2008	A	`conf`	Latent Topic Models for Hypertext. UAI Amit Gruber, Michal Rosen-Zvi, Yair Weiss
2008	A	`conf`	Selecting anti-HIV therapies based on a variety of genomic and clinical factors. ISMB 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
2007	A	`conf`	Hidden Topic Markov Models. AISTATS Amit Gruber, Yair Weiss, Michal Rosen-Zvi
2005	J	`jnl`	On the relationship between deterministic and probabilistic directed Graphical models: From Bayesian networks to recursive neural networks. Neural Networks Pierre Baldi, Michal Rosen-Zvi
2005	A	`conf`	The DLR Hierarchy of Approximate Inference. UAI Michal Rosen-Zvi, Michael I. Jordan, Alan L. Yuille
2004	A*	`conf`	Approximate inference by Markov chains on union spaces. ICML Max Welling, Michal Rosen-Zvi, Yee Whye Teh
2004	—	`conf`	Exponential Family Harmoniums with an Application to Information Retrieval. NIPS Max Welling, Michal Rosen-Zvi, Geoffrey E. Hinton
2004	A*	`conf`	Probabilistic author-topic models for information discovery. KDD Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, Thomas Griffiths
2004	A	`conf`	The Author-Topic Model for Authors and Documents. UAI Michal Rosen-Zvi, Thomas L. Griffiths, Mark Steyvers, Padhraic Smyth