Michail E. Klontzas

According to our database, Michail E. Klontzas authored at least 12 papers between 2023 and 2026.

Collaborative distances:

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

2026

Cross Modality Image Translation In Medical Imaging Using Generative Frameworks.

Giulia Romoli, Alessia Capoccia, Filippo Ruffini, Francesco Di Feola, Luca Boldrini, Arturo Chiti, Renato Cuocolo, Tugba Akinci D'Antonoli, Fatemeh Darvizeh, Marcello Di Pumpo, Bradley J. Erickson, Liu Fang, Deborah Fazzini, Paola Feraco, Fabrizia Gelardi, Francesco Gossetti, Ana Isabel Hernáiz Ferrer, Michail E. Klontzas, Seyedmehdi Payabvash, Katrine Riklund, Sara N. Strandberg, Valerio Guarrasi, Paolo Soda

CoRR, May, 2026

DosimeTron: Automating Personalized Monte Carlo Radiation Dosimetry in PET/CT with Agentic AI.

Eleftherios Tzanis, Michail E. Klontzas, Antonios Tzortzakakis

CoRR, April, 2026

OpenRad: a Curated Repository of Open-access AI models for Radiology.

Konstantinos Vrettos, Galini Papadaki, Emmanouil Brilakis, Matthaios Triantafyllou, Dimitrios Leventis, Despina Staraki, Maria Mavroforou, Eleftherios Tzanis, Konstantina Giouroukou, Michail E. Klontzas

CoRR, March, 2026

The MAMA-MIA Challenge: Advancing Generalizability and Fairness in Breast MRI Tumor Segmentation and Treatment Response Prediction.

Lidia Garrucho, Smriti Joshi, Kaisar Kushibar, Richard Osuala, Maciej Bobowicz, Xavier Bargalló, Paulius Jarusevicius, Kai Geissler, Raphael Schäfer, Muhammad Alberb, Tony Xu, Anne L. Martel, Daniel Sleiman, Navchetan Awasthi, Hadeel Awwad, Joan C. Vilanova, Robert Martí, Daan Schouten, Jeong Hoon Lee, Mirabela Rusu, Eleonora Poeta, Luisa Vargas, Eliana Pastor, Maria A. Zuluaga, Jessica Kächele, Dimitrios Bounias, Alexandra Ertl, Katarzyna Gwozdziewicz, Maria-Laura Cosaka, Pasant M. Abo-Elhoda, Sara W. Tantawy, Shorouq S. Sakrana, Norhan O. Shawky-Abdelfatah, Amr Muhammad Abdo-Salem, Androniki Kozana, Eugen Divjak, Gordana Ivanac, Katerina Nikiforaki, Michail E. Klontzas, Rosa García-Dosdá, Meltem Gulsun-Akpinar, Oguz Lafci, Carlos Martín-Isla, Oliver Díaz, Laura Igual, Karim Lekadir

CoRR, March, 2026

Federated learning on magnetic resonance imaging: a critical review.

Emmanouil Markodimitrakis, Eleftherios Trivizakis, Georgios S. Ioannidis, Emmanouil Koutoulakis, Manolis Tsiknakis, Nikolaos Papanikolaou, Michail E. Klontzas, Mohammad Yaqub, Kostas Marias

Artif. Intell. Rev., March, 2026

2025

ReclAIm: A multi-agent framework for degradation-aware performance tuning of medical imaging AI.

Eleftherios Tzanis, Michail E. Klontzas

CoRR, October, 2025

PARROT: An Open Multilingual Radiology Reports Dataset.

Bastien Le Guellec, Kokou Adambounou, Lisa C. Adams, Thibault Agripnidis, Sungsoo Ahn, Radhia Ait Chalal, Tugba Akinci D'Antonoli, Philippe Amouyel, Henrik Andersson, Raphael Bentegeac, Claudio Benzoni, Antonino Andrea Blandino, Felix Busch, Elif Can, Riccardo Cau, Armando Ugo Cavallo, Christelle Chavihot, Erwin Chiquete, Renato Cuocolo, Eugen Divjak, Gordana Ivanac, Barbara Dziadkowiec Macek, Armel Elogne, Salvatore Claudio Fanni, Carlos Ferrarotti, Claudia Fossataro, Federica Fossataro, Katarzyna Fulek, Michal Fulek, Pawel Gac, Martyna Gachowska, Ignacio Garcia Juarez, Marco Gatti, Natalia Gorelik, Alexia Maria Goulianou, Aghiles Hamroun, Nicolas Herinirina, Krzysztof Kraik, Dominik Krupka, Quentin Holay, Felipe Kitamura, Michail E. Klontzas, Anna Kompanowska, Rafal Kompanowski, Alexandre Lefevre, Tristan Lemke, Maximilian Lindholz, Lukas Muller, Piotr Macek, Marcus R. Makowski, Luigi Mannacio, Aymen Meddeb, Antonio Natale, Beatrice Nguema Edzang, Adriana Ojeda, Yae Won Park, Federica Piccione, Andrea Ponsiglione, Malgorzata Poreba, Rafal Poreba, Philipp Prucker, Jean-Pierre Pruvo, Rosa Alba Pugliesi, Feno Hasina Rabemanorintsoa, Vasileios Rafailidis, Katarzyna Resler, Jan Rotkegel, Luca Saba, Ezann Siebert, Arnaldo Stanzione, Ali Fuat Tekin, Liz Toapanta Yanchapaxi, Matthaios Triantafyllou, Ekaterini Tsaoulia, Evangelia Vassalou, Federica Vernuccio, Johan Wasselius, Weilang Wang, Szymon Urban, Adrian Wlodarczak, Szymon Wlodarczak, Andrzej Wysocki, Lina Xu, Tomasz Zatonski, Shuhang Zhang, Sebastian Ziegelmayer, Grégory Kuchcinski, Keno K. Bressem

CoRR, July, 2025

Accurate and Energy Efficient: Local Retrieval-Augmented Generation Models Outperform Commercial Large Language Models in Medical Tasks.

Konstantinos Vrettos, Michail E. Klontzas

CoRR, June, 2025

mAIstro: an open-source multi-agentic system for automated end-to-end development of radiomics and deep learning models for medical imaging.

Eleftherios Tzanis, Michail E. Klontzas

CoRR, May, 2025

2024

Developing a Radiomics Atlas Dataset of normal Abdominal and Pelvic computed Tomography (RADAPT).

Elisavet Kapetanou, Stylianos Malamas, Dimitrios Leventis, Apostolos Karantanas, Michail E. Klontzas

J. Imaging Inform. Medicine, 2024

MAMA-MIA: A Large-Scale Multi-Center Breast Cancer DCE-MRI Benchmark Dataset with Expert Segmentations.

Lidia Garrucho, Claire-Anne Reidel, Kaisar Kushibar, Smriti Joshi, Richard Osuala, Apostolia Tsirikoglou, Maciej Bobowicz, Javier del Riego, Alessandro Catanese, Katarzyna Gwozdziewicz, Maria-Laura Cosaka, Pasant M. Abo-Elhoda, Sara W. Tantawy, Shorouq S. Sakrana, Norhan O. Shawky-Abdelfatah, Amr Muhammad Abdo-Salem, Androniki Kozana, Eugen Divjak, Gordana Ivanac, Katerina Nikiforaki, Michail E. Klontzas, Rosa García-Dosdá, Meltem Gulsun-Akpinar, Oguz Lafci, Ritse Mann, Carlos Martín-Isla, Fred W. Prior, Kostas Marias, Martijn P. A. Starmans, Fredrik Strand, Oliver Díaz, Laura Igual, Karim Lekadir

CoRR, 2024

2023

Updating the Checklist for Artificial Intelligence in Medical Imaging (CLAIM) for reporting AI research.

Ali S. Tejani, Michail E. Klontzas, Anthony A. Gatti, John Mongan, Linda Moy, Seong Ho Park, Charles E. Kahn

Nat. Mac. Intell., September, 2023