Renato Umeton

According to our database, Renato Umeton authored at least 16 papers between 2010 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Beyond Diagnosis: Evaluating Multimodal LLMs for Pathology Localization in Chest Radiographs.

Advait Gosai, Arun Kavishwar, Stephanie L. McNamara, Soujanya Samineni, Renato Umeton, Alexander Chowdhury, William Lotter

CoRR, September, 2025

Conversational LLMs Simplify Secure Clinical Data Access, Understanding, and Analysis.

Rafi Al Attrach, Pedro Moreira, Rajna Fani, Renato Umeton, Leo Anthony Celi

CoRR, July, 2025

Red Teaming for Generative AI, Report on a Copyright-Focused Exercise Completed in an Academic Medical Center.

James Wen, Sahil S. Nalawade, Zhiwei Liang, Catherine Bielick, Marisa Ferrara Boston, Alexander Chowdhury, Adele Collin, Luigi De Angelis, Jacob Ellen, Heather Frase, Rodrigo R. Gameiro, Juan Manuel Gutierrez, Pooja Kadam, Murat Keceli, Srikanth Krishnamurthy, Anne Kwok, Yanan Lance Lu, Heather Mattie, Liam G. McCoy, Katherine Miller, Allison C. Morgan, Marlene Louisa Moerig, Trang Nguyen, Alexander Owen-Post, Alex D. Ruiz, Sreekar Reddy Puchala, Soujanya Samineni, Takeshi Tohyama, Varun Ullanat, Carmine Valenza, Camilo Velez, Pengcheng Wang, Anna Wuest, Yuxiang Zhou, Yingde Zhu, Jason M. Johnson, Naomi Lenane, Jennifer Willcox, Francis J. Vitiello, Leo Anthony Celi, Renato Umeton

CoRR, June, 2025

2024

Multiplex Imaging Analysis in Pathology: a Comprehensive Review on Analytical Approaches and Digital Toolkits.

Mohamed Omar, Giuseppe Nicoló Fanelli, Fabio Socciarelli, Varun Ullanat, Sreekar Reddy Puchala, James Wen, Alexander Chowdhury, Itzel Valencia, Cristian Scatena, Luigi Marchionni, Renato Umeton, Massimo Loda

CoRR, 2024

2023

Federated benchmarking of medical artificial intelligence with MedPerf.

Alexandros Karargyris, Renato Umeton, Micah J. Sheller, Alejandro Aristizabal, Johnu George, Anna Wuest, Sarthak Pati, Hasan Kassem, Maximilian Zenk, Ujjwal Baid, Prakash Narayana Moorthy, Alexander Chowdhury, Junyi Guo, Sahil S. Nalawade, Jacob Rosenthal, David Kanter, Maria Xenochristou, Daniel J. Beutel, Verena Chung, Timothy Bergquist, James A. Eddy, Abubakar Abid, Lewis Tunstall, Omar Sanseviero, Dimitrios Dimitriadis, Yiming Qian, Xinxing Xu, Yong Liu, Rick Siow Mong Goh, Srini Bala, Victor Bittorf, Sreekar Reddy Puchala, Biagio Ricciuti, Soujanya Samineni, Eshna Sengupta, Akshay Chaudhari, Cody Coleman, Bala Desinghu, Gregory F. Diamos, Debo Dutta, Diane Feddema, Grigori Fursin, Xinyuan Huang, Satyananda Kashyap, Nicholas D. Lane, Indranil Mallick, Pietro Mascagni, Virendra Mehta, Cassiano Ferro Moraes, Vivek Natarajan, Nikola Nikolov, Nicolas Padoy, Gennady Pekhimenko, Vijay Janapa Reddi, G. Anthony Reina, Pablo Ribalta, Abhishek Singh, Jayaraman J. Thiagarajan, Jacob Albrecht, Thomas Wolf, Geralyn Miller, Huazhu Fu, Prashant Shah, Daguang Xu, Poonam Yadav, David Talby, Mark M. Awad, Jeremy P. Howard, Michael Rosenthal, Luigi Marchionni, Massimo Loda, Jason M. Johnson, Spyridon Bakas, Peter Mattson

Nat. Mac. Intell., July, 2023

2022

Whole Slide Image to DICOM Conversion as Event-Driven Cloud Infrastructure.

David Brundage, Jacob Rosenthal, Ryan Carelli, Sophie Rand, Renato Umeton, Massimo Loda, Luigi Marchionni

CoRR, 2022

2021

Applying Self-Supervised Learning to Medicine: Review of the State of the Art and Medical Implementations.

Alexander Chowdhury, Jacob Rosenthal, Jonathan Waring, Renato Umeton

Informatics, 2021

MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation.

Alexandros Karargyris, Renato Umeton, Micah J. Sheller, Alejandro Aristizabal, Johnu George, Srini Bala, Daniel J. Beutel, Victor Bittorf, Akshay Chaudhari, Alexander Chowdhury, Cody Coleman, Bala Desinghu, Gregory F. Diamos, Debo Dutta, Diane Feddema, Grigori Fursin, Junyi Guo, Xinyuan Huang, David Kanter, Satyananda Kashyap, Nicholas D. Lane, Indranil Mallick, Pietro Mascagni, Virendra Mehta, Vivek Natarajan, Nikola Nikolov, Nicolas Padoy, Gennady Pekhimenko, Vijay Janapa Reddi, G. Anthony Reina, Pablo Ribalta, Jacob Rosenthal, Abhishek Singh, Jayaraman J. Thiagarajan, Anna Wuest, Maria Xenochristou, Daguang Xu, Poonam Yadav, Michael Rosenthal, Massimo Loda, Jason M. Johnson, Peter Mattson

CoRR, 2021

A Review of Medical Federated Learning: Applications in Oncology and Cancer Research.

Alexander Chowdhury, Hasan Kassem, Nicolas Padoy, Renato Umeton, Alexandros Karargyris

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2020

Automated machine learning: Review of the state-of-the-art and opportunities for healthcare.

Jonathan Waring, Charlotta Lindvall, Renato Umeton

Artif. Intell. Medicine, 2020

Operationalizing Artificial Intelligence: Lessons Learned at Dana-Farber Cancer Institute.

John Methot, Renato Umeton, Gregory Antell

Proceedings of the AMIA 2020, 2020

2012

OREMPdb: a semantic dictionary of computational pathway models.

Renato Umeton, Giuseppe Nicosia, C. Forbes Dewey Jr.

BMC Bioinform., 2012

2011

Multiscale Mathematical Modeling to Support Drug Development.

David Nordsletten, Beracah Yankama, Renato Umeton, V. A. Shiva Ayyadurai, C. Forbes Dewey Jr.

IEEE Trans. Biomed. Eng., 2011

Large Scale Agent-Based Modeling of the Humoral and Cellular Immune Response.

Giovanni Stracquadanio, Renato Umeton, Jole Costanza, Viviana Annibali, Rosella Mechelli, Mario Pavone, Luca Zammataro, Giuseppe Nicosia

Proceedings of the Artificial Immune Systems - 10th International Conference, 2011

Design of robust metabolic pathways.

Renato Umeton, Giovanni Stracquadanio, Anilkumar Sorathiya, Pietro Liò, Alessio Papini, Giuseppe Nicosia

Proceedings of the 48th Design Automation Conference, 2011

2010

Analysis and Optimization of C3 Photosynthetic Carbon Metabolism.

Giovanni Stracquadanio, Renato Umeton, Alessio Papini, Pietro Liò, Giuseppe Nicosia

Proceedings of the 10th IEEE International Conference on Bioinformatics and Bioengineering, 2010