Latest publications
Here is our last 100 publications. Get more information about our publications by reading each member's profile page.
Learning from Semantic Dictionaries: Discriminative Codebook Contrastive Learning for Unified Visual Representation and Generation
2026 | Imanol G Estepa, Jesús M Rodríguez-de-Vera, Bhalaji Nagarajan, Petia Radeva | arXiv preprint arXiv:2605.25012, 2026
Conjuring Positive Pairs for Efficient Unification of Representation Learning and Image Synthesis
2026 | Imanol G Estepa, Jesús M Rodríguez-de-Vera, Ignacio Sarasúa, Bhalaji Nagarajan, Petia Radeva
Integration of Calcium Imaging Traces via Deep Generative Modeling
2026 | Berta Ros, Mireia Olives-Verger, Caterina Fuses, Josep M Canals, Jordi Soriano, Jordi Abante
snputils: A High-Performance Python Library for Genetic Variation and Population Structure
2026 | David Bonet, Marçal Comajoan Cara, Míriam Barrabés, Riccardo Smeriglio, Devang Agrawal, Khaled Aounallah, Margarita Geleta, Albert Dominguez Mantes, Christophe Thomassin, Cole Shanks, Edward C Huang, Marc Franquesa Monés, Aina Luis, Joan Saurina, Maria Perera, Cayetana López, Benet Oriol Sabat, Jordi Abante, Sonia Moreno-Grau, Daniel Mas Montserrat, Alexander G Ioannidis
ARGformer: learning on ancestral recombination graphs with transformers
2026 | David Bonet, Cole Shanks, Marçal Comajoan Cara, Jordi Abante, Alexander G Ioannidis
Physically Informed 3D Food Reconstruction: Methods and Results
2026 | Jiangpeng He, Yuhao Chen, Gautham Vinod, Xiaoyan Zhang, Talha Ibn Mahmud, Ahmad AlMughrabi, Umair Haroon, Ricardo Marques, Petia Radeva, Yawei Jueluo, Chengyu Shi, Pengyu Wang, Pengcheng Xi, Alexander Wong, Fengqing Zhu
VolE: A point-cloud framework for food 3D reconstruction and volume estimation
2026 | Umair Haroon, Ahmad AlMughrabi, Thanasis Zoumpekas, Ricardo Marques, Petia Radeva
BenchSeg: A Large-Scale Dataset and Benchmark for Multi-View Food Video Segmentation
2026 | Ahmad AlMughrabi, Guillermo Rivo, Carlos Jiménez-Farfán, Umair Haroon, Farid Al-Areqi, Hyunjun Jung, Benjamin Busam, Ricardo Marques, Petia Radeva
How the international treaty on plant genetic resources for food and agriculture can support effective germplasm exchange: four Colombian case studies
2026 | Tatiana Rivera, Robert Andrade, Carolina Gonzalez, Daniel Ortiz, Jhon Ocampo, Diana Córdoba
Anatomically guided latent diffusion for high-resolution 3D chest CT synthesis
2026 | Anna Oliveras, Roger Marí, Rafael Redondo, Oriol Guardià, Cynthia Ifeyinwa Ugwu, Ana Tost, Bhalaji Nagarajan, Carolina Migliorelli, Vicent Ribas, Petia Radeva
Fréchet Radiomic Distance (FRD): A Versatile Metric for Comparing Medical Imaging Datasets
2026 | Nicholas Konz, Richard Osuala, Preeti Verma, Yuwen Chen, Hanxue Gu, Haoyu Dong, Yaqian Chen, Andrew Marshall, Lidia Garrucho, Kaisar Kushibar, Daniel M Lang, Gene S Kim, Lars J Grimm, John M Lewin, James S Duncan, Julia A Schnabel, Oliver Diaz, Karim Lekadir, Maciej A Mazurowski | Medical Image Analysis, 103943, 2026
Reporting checklist for foundation and large language models in medical research (REFINE): an international consensus guideline
2026 | Ismail Mese, Tugba Akinci D’Antonoli, Christian Bluethgen, Keno Bressem, Renato Cuocolo, Akshay Chaudhari, Ali S Tejani, Amanda Isaac, Andrea Ponsiglione, Aymen Meddeb, Bardia Khosravi, Bastien Le Guellec, Charles E Kahn Jr, Chong Hyun Suh, Daniel Pinto Dos Santos, Dow-Mu Koh, Eleftherios Tzanis, Elmar Kotter, Errol Colak, Felipe Kitamura, Felix Busch, Felix Nensa, Guang Yang, Henning Müller, Jakob Nikolas Kather, Jawed Nawabi, Jens Kleesiek, Jingyu Zhong, João Santinha, Johannes Haubold, José Guilherme de Almeida, Karim Lekadir, Kostas Marias, Lara Noelle Reiner, Lena Maier-Hein, Linda Moy, Lisa C Adams, Luis Martí-Bonmatí, Magdalini Paschali, Mana Moassefi, Matthias Dietzel, Merel Huisman, Michael Ingrisch, Michail E Klontzas, Nikolaos Papanikolaou, Oliver Diaz, Paulo Kuriki, Philipp Seeböck, Pouria Rouzrokh, Quirin D Strotzer, Seong Ho Park, Shahriar Faghani, Soroosh Tayebi Arasteh, Su Hwan Kim, Vasantha Kumar Venugopal, Woojin Kim, Burak Kocak | Diagnostic and Interventional Radiology, 2026
The MAMA-MIA Challenge: Advancing Generalizability and Fairness in Breast MRI Tumor Segmentation and Treatment Response Prediction
2026 | Lidia Garrucho, Smriti Joshi, Kaisar Kushibar, Richard Osuala, Maciej Bobowicz, Xavier Bargalló, Paulius Jaruševičius, Kai Geissler, Raphael Schäfer, Muhammad Alberb, Tony Xu, Anne 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 Gwoździewicz, 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, Oğuz Lafcı, Carlos Martín-Isla, Oliver Díaz, Laura Igual, Karim Lekadir | arXiv preprint arXiv:2603.01250, 2026
From data to treatment plan: An AI-driven path for automated breast radiotherapy planning
2026 | P Gallego, E Ambroa, J Pérez-Alija, JC Julià, N Jornet, A Matas, C Anson, A Mera, N Tejedor, H Vivancos, A Ruiz, M Barceló, A Dominguez, V Riu, J Roda, P Carrasco, S Balocco, O Díaz | Journal of applied clinical medical physics 27 (3), e70491, 2026
Artificial intelligence in cardiovascular imaging: risks, mitigations and the path to safe implementation
2026 | James P Howard, Qiang Zhang, Ahmed M Salih, Steffen E Petersen, Karim Lekadir, Zahra Raisi-Estabragh | Heart 112 (5), 246-252, 2026
IUGC: A benchmark of landmark detection in end-to-end intrapartum ultrasound biometry
2026 | Jieyun Bai, Yitong Tang, Xiao Liu, Jiale Hu, Yunda Li, Xufan Chen, Yufeng Wang, Chen Ma, Yunshu Li, Bowen Guo, Jing Jiao, Yi Huang, Kun Wang, Lifei Li, Yuzhang Ma, Xiaoxin Han, Haochen Shao, Zi Yang, Qingchen Liu, Yuchen Hu, Jingfan Kuang, Shanglin Song, Anirvan Krishna, Zaid Ahmed Khan, Zelan Li, Zhengyang Zhang, Hansen Zhang, Yan Cheng, Xuezhi Zhang, Xi Chen, Hao Yan, Lyuyang Tong, Bo Du, Bo Deng, Yu Chen, Zilun Peng, Saeid Rezaei, Jie Gan, Weidong Cai, Fangyijie Wang, Kathleen M Curran, Guénolé Silvestre, Isaac Khobo, Yaosheng Lu, Dong Ni, Yuxin Huang, Mohammad Yaqub, Jun Ma, Karim Lekadir, Shuo Li | Medical Image Analysis, 103960, 2026
FUGC: Benchmarking Semi-Supervised Learning Methods for Cervical Segmentation
2026 | Jieyun Bai, Yitong Tang, Zihao Zhou, Mahdi Islam, Musarrat Tabassum, Enrique Almar-Munoz, Hongyu Liu, Hui Meng, Nianjiang Lv, Bo Deng, Yu Chen, Zilun Peng, Yusong Xiao, Li Xiao, Nam-Khanh Tran, Dac-Phu Phan-Le, Hai-Dang Nguyen, Xiao Liu, Jiale Hu, Mingxu Huang, Jitao Liang, Chaolu Feng, Xuezhi Zhang, Lyuyang Tong, Bo Du, Ha-Hieu Pham, Thanh-Huy Nguyen, Min Xu, Juntao Jiang, Jiangning Zhang, Yong Liu, Md Kamrul Hasan, Jie Gan, Zhuonan Liang, Weidong Cai, Yuxin Huang, Gongning Luo, Mohammad Yaqub, Karim Lekadir | arXiv preprint arXiv:2601.15572, 2026
Beyond benchmarks of IUGC: Rethinking requirements of deep learning method for intrapartum ultrasound biometry from fetal ultrasound videos
2026 | Jieyun Bai, Zihao Zhou, Yitong Tang, Jie Gan, Zhuonan Liang, Jianan Fan, Lisa B Mcguire, Jillian L Clarke, Weidong Cai, Jacaueline Spurway, Yubo Tan, Shiye Wang, Wenda Shen, Wangwang Yu, Yihao Li, Philippe Zhang, Weili Jiang, Yongjie Li, Salem Muhsin Ali Binqahal Al Nasi, Arsen Abzhanov, Numan Saeed, Mohammad Yaqub, Zunhui Xia, Hongxing Li, Libin Lan, Jayroop Ramesh, Valentin Bacher, Mark Eid, Hoda Kalabizadeh, Christian Rupprecht, Ana IL Namburete, Pak-Hei Yeung, Madeleine K Wyburd, Nicola K Dinsdale, Assanali Serikbey, Jiankai Li, Sung-Liang Chen, Zicheng Hu, Nana Liu, Yian Deng, Wei Hu, Cong Tan, Wenfeng Zhang, Mai Tuyet Nhi, Gregor Koehler, Rapheal Stock, Klaus Maier-Hein, Marawan Elbatel, Xiaomeng Li, Saad Slimani, Victor M Campello, Benard Ohene-Botwe, Isaac Khobo, Yuxin Huang, Zhenyan Han, Hongying Hou, Di Qiu, Zheng Zheng, Gongning Luo, Dong Ni, Yaosheng Lu, Karim Lekadir, Shuo Li | Medical Image Analysis, 104043, 2026
Quantum geometric-entropic optimization for customer lifetime value prediction: convergence theory and an empirical study on transactional retail data
2026 | Massimiliano Ferrara, Laura Sáez-Ortuño, Santiago Forgas-Coll, Jorge Refugio Fabila-Fabián, Carlos Martín-Isla, Karim Lekadir | Statistics, 1-25, 2026
Bridging gaps in youth mental health care: YOUTHreach—a comprehensive European strategy
2026 | Thérèse van Amelsvoort, Anouk Boonstra, Karim Lekadir, Esmeralda Ruiz Pujadas, Matthew R Broome, Sian Lowri Griffiths, Gary Donohoe, Arne Popma, Giovanni de Girolamo, Covadonga M Díaz-Caneja, Anna-Kaisa Oidermaa, Andreas Bechdolf, Silvia Evers, Ghislaine van Mastrigt, Dorothee Horstkötter, Ricky Janssen, Maria Bulgheroni, David McDaid, Jan R Boehnke, Patrick McGorry, Mario Alvarez Jimenez, Anita Schick, Ulrich Reininghaus, Sophie Leijdesdorff | European Child & Adolescent Psychiatry, 1-9, 2026
Understanding Task Aggregation for Generalizable Ultrasound Foundation Models
2026 | Fangyijie Wang, Tanya Akumu, Vien Ngoc Dang, Amelia Jiménez-Sánchez, Jieyun Bai, Guénolé Silvestre, Karim Lekadir, Kathleen M Curran | arXiv preprint arXiv:2603.18123, 2026
Med-DualLoRA: Local Adaptation of Foundation Models for 3D Cardiac MRI
2026 | Joan Perramon-Llussà, Amelia Jiménez-Sánchez, Grzegorz Skorupko, Fotis Avgoustidis, Carlos Martín-Isla, Karim Lekadir, Polyxeni Gkontra | arXiv preprint arXiv:2603.10967, 2026
Bias and Fairness in Radiomics: A Comparative Analysis of Machine Learning Models on Four Oncology Datasets
2026 | Esmeralda Ruiz Pujadas, Jerónimo Hernández‐González, Vien Ngoc Dang, Marina Camacho, Karim Lekadir, Martijn PA Starmans | International Journal of Imaging Systems and Technology 36 (2), e70329, 2026
HappyMums mobile application study protocol: use of a smartphone application to gather data predictive of antenatal depression
2026 | Kristi Priestley, Riddhi Laijawala, Katie Hazelgrove, Rebecca Bind, Lavinia Rebecchini, Nicole Mariani, Sorcha Alford, Madeline Kirkpatrick, Francesca Mancino, Seungyoung Kim, Suvasthiga Pushpakanthan, Alessandra Biaggi, Libera Cavaliere, Maria Grazia Di Benedetto, Marijana Matijaš, Maja Žutić, Maja Brekalo, Sandra Nakić Radoš, Katarzyna Żukowska, Anna Braniecka, Marta Jackowska, Margherita Bessi, Elena Agnoletto, Elisa Maria Teresa Melloni, Francesco Benedetti, Maria Bulgheroni, Margherita La Gamba, Carlos Martín Isla, Cristian Izquierdo Morcillo, Karim Lekadir, Verna Salo, Tiina Seikku, Katri Räikkönen, Malvika Godara, Ulrike Maria Schneider-Schmid, Sonja Entringer, Claudia Buß, Deirdre De Barra, Anthony Woods, Paola Dazzan, Annamaria Cattaneo, Carmine Pariante | BMJ open 16 (2), e106978, 2026
Deep learning to predict left ventricular hypertrophy from the electrocardiogram
2026 | Hafiz Naderi, Thomas Kaplan, Stefan van Duijvenboden, Esmeralda Ruiz Pujadas, Nay Aung, C Anwar A Chahal, Karim Lekadir, Bishwas Chamling, Marcus Dörr, Marcello RP Markus, Steffen E Petersen, Julia Ramírez, Patricia B Munroe | Europace 28 (2), euag015, 2026
From data to treatment plan: An AI‐driven path for automated breast radiotherapy planning
2026 | P Gallego, E Ambroa, J Pérez‐Alija, JC Julià, N Jornet, A Matas, C Anson, A Mera, N Tejedor, H Vivancos, A Ruiz, M Barceló, A Dominguez, V Riu, J Roda, P Carrasco, S Balocco, O Díaz | Journal of Applied Clinical Medical Physics 27 (3), e70491, 2026
Fast and Accurate Gaussian Process Modelling of Real-World Materials
2026 | Arnau Colom, Christian Bouville, Julien Pettre, Kadi Bouatouch, Ricardo Marques | ACM Transactions on Graphics 45 (3), 1-18, 2026
Computer Vision, Imaging and Computer Graphics Theory and Applications: 19th International Joint Conference, VISIGRAPP 2024, Rome, Italy, February 27–29, 2024, Revised Selected Papers
2026 | Thomas Bashford-Rogers, Daniel Meneveaux, Mounia Ziat, Mehdi Ammi, Stefan Jänicke, Helen Purchase, Petia Radeva, Antonino Furnari, Kadi Bouatouch, A Augusto de Sousa | Springer Nature, 2026
Slot Attention-based Feature Filtering for Few-Shot Learning
2025 | Javier Ródenas, Eduardo Aguilar, Petia Radeva
Stochastic-based Patch Filtering for Few-Shot Learning
2025 | Javier Ródenas Cumplido, Eduardo Aguilar, Petia Radeva
Precision at scale: Domain-specific datasets on-demand
2025 | Jesús M Rodríguez-de-Vera, Imanol G Estepa, Ignacio Sarasúa, Bhalaji Nagarajan, Petia Radeva
CLIP-DoRA: Weight-decomposed Low-rank Adaptation for Efficient Vision-Language Models
2025 | Jesús M Rodríguez-de-Vera, Imanol G Estepa, Bhalaji Nagarajan, Petia Radeva
LLM-Generated Semantic Co-occurrences for Multi-label Food Recognition
2025 | Daniel Ponte, Eduardo Aguilar, Mireia Ribera, Petia Radeva
Robust Logit to Enhance Stochastic Neural Network Adversarial Robustness
2025 | Omar Dardour, Eduardo Aguilar, Mourad Zaied, Petia Radeva
CEDL+: Exploiting evidential deep learning for continual out-of-distribution detection
2025 | Eduardo Aguilar, Bogdan Raducanu, Petia Radeva, Joost van de Weijer
Multi-task visual food recognition by integrating an ontology supported with LLM
2025 | Daniel Ponte, Eduardo Aguilar, Mireia Ribera, Petia Radeva
Inter-separability and intra-concentration to enhance stochastic neural network adversarial robustness
2025 | Omar Dardour, Eduardo Aguilar, Petia Radeva, Mourad Zaied
Lightweight DeepLabv3+ for Semantic Food Segmentation
2025 | Bastián Muñoz, Angela Martínez-Arroyo, Constanza Acevedo, Eduardo Aguilar
Uncertainty-Driven Past-Sample Selection for Replay-Based Continual Learning
2025 | Anxo-Lois Pereira, Eduardo Aguilar, Petia Radeva
A hybrid reinforcement learning strategy informed by RRT* for path planning of mobile robots in open-pit mining
2025 | Sebastian Zapata, Ricardo Urvina, Katherine Aro, Eduardo Aguilar, Fernando Auat Cheein, Alvaro Prado
Context-Dependent Genetic Modifiers of Huntington’s Disease Revealed Through Multimodal Machine Learning
2025 | Caterina Fuses, Georgia Zavou, Berta Ros, Josep M. Canals, Jordi Abante
CD200-based cell sorting results in homogeneous transplantable striatal neuroblasts for human cell therapy for Huntington's disease
2025 | Francisco J Molina-Ruiz, Phil Sanders, Cinta Gomis, Jordi Abante, Francisco Londono, Georgina Bombau, Mireia Galofré, Gal la Vinyes-Bassols, Veronica Monforte, Josep M Canals
Explainable AI model reveals disease-related mechanisms in single-cell RNA-seq data
2025 | Mohammad Usman, Olga Varea, Petia Radeva, Josep Canals, Jordi Abante, Daniel Ortiz
VolE: A Text-Guided Point-Cloud Framework for Food 3D Reconstruction and Volume Estimation
2025 | Umair Haroon, Ahmad AlMughrabi, Ricardo Marques, Petia Radeva
Enriching Unbounded Appearances for Neural Radiance Fields
2025 | Ahmad AlMughrabi, Umair Haroon, Ricardo Marques, Petia Radeva
VolTex: food volume estimation using text-guided segmentation and neural surface reconstruction
2025 | Ahmad AlMughrabi, Umair Haroon, Ricardo Marques, Petia Radeva
The Written Self: Decoding Personality and gender Differences Through Explainable AI
2025 | David Saeteros, Beatriz Domínguez-Álvarez, David Gallardo-Pujol, Daniel Ortiz-Martínez
Text speaks louder: Insights into personality from natural language processing
2025 | David Saeteros, David Gallardo-Pujol, Daniel Ortiz-Martínez
DeBasher: a flow-based programming bash extension for the implementation of complex and interactive workflows with stateful processes
2025 | Daniel Ortiz-Martínez
FoodMem: Near real-time and precise food video segmentation
2025 | Ahmad AlMughrabi, Adrián Galán, Ricardo Marques, Petia Radeva
Formal Verification Theory for AI-Driven Autonomous Defense Systems
2025 | Mohammad Arafah, Louay Karadsheh, Ahmad Almughrabi
DADO: A Depth-Attention Framework for Object Discovery
2025 | Federico Gonzalez, Estefania Talavera, Petia Radeva
Inteligencia artificial para la multi-clasificaci\'on de fauna en fotograf\'ias autom\'aticas utilizadas en investigaci\'on cient\'ifica
2025 | Federico Gonzalez, Leonel Viera, Rosina Soler, Lucila Chiarvetto Peralta, Matias Gel, Gimena Bustamante, Abril Montaldo, Brian Rigoni, Ignacio Perez
Adaptive vision-language prompt learners for learning with noisy labels
2025 | Changhui Hu, Bhalaji Nagarajan, Ricardo Marques, Petia Radeva
Dual Polarity Prompts with Stochastic Entropy Perturbation for Label Noise
2025 | Changhui Hu, Bhalaji Nagarajan, Ricardo Marques, Petia Radeva
A large-scale multicenter breast cancer DCE-MRI benchmark dataset with expert segmentations
2025 | Lidia Garrucho, Kaisar Kushibar, Claire-Anne Reidel, Smriti Joshi, Richard Osuala, Apostolia Tsirikoglou, Maciej Bobowicz, Javier Del Riego, Alessandro Catanese, Katarzyna Gwoździewicz, 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, Oğuz Lafcı, Ritse Mann, Carlos Martín-Isla, Fred Prior, Kostas Marias, Martijn PA Starmans, Fredrik Strand, Oliver Díaz, Laura Igual, Karim Lekadir | Scientific Data 12 (1), 453, 2025
Evaluation metrics in medical imaging AI: fundamentals, pitfalls, misapplications, and recommendations
2025 | Burak Kocak, Michail E Klontzas, Arnaldo Stanzione, Aymen Meddeb, Aydın Demircioğlu, Christian Bluethgen, Keno Bressem, Lorenzo Ugga, Nathaniel Mercaldo, Oliver Díaz, Renato Cuocolo | European Journal of Radiology Artificial Intelligence, 100030, 2025
Simulating dynamic tumor contrast enhancement in breast MRI using conditional generative adversarial networks
2025 | Richard Osuala, Smriti Joshi, Apostolia Tsirikoglou, Lidia Garrucho, Walter HL Pinaya, Daniel M Lang, Julia A Schnabel, Oliver Diaz, Karim Lekadir | Journal of Medical Imaging 12 (S2), S22014-S22014, 2025
Stakeholder engagement: the path to trustworthy AI in healthcare
2025 | Marina Camacho, Joan Perramon, Xènia Puig-Bosch, Vien Ngoc Dang, Oliver Díaz, Karim Lekadir | Trustworthy AI in Medical Imaging, 471-493, 2025
Explanation and Elaboration with Examples for METRICS (METRICS-E3): an initiative from the EuSoMII Radiomics Auditing Group
2025 | Burak Kocak, Angela Ammirabile, Ilaria Ambrosini, Tugba Akinci D’Antonoli, Alessandra Borgheresi, Armando Ugo Cavallo, Roberto Cannella, Gennaro D’Anna, Oliver Díaz, Fabio M Doniselli, Salvatore Claudio Fanni, Samuele Ghezzo, Kevin BW Groot Lipman, Michail E Klontzas, Andrea Ponsiglione, Arnaldo Stanzione, Matthaios Triantafyllou, Federica Vernuccio, Renato Cuocolo | Insights into Imaging 16 (1), 175, 2025
Federated nnU-Net for privacy-preserving medical image segmentation
2025 | Grzegorz Skorupko, Fotios Avgoustidis, Carlos Martín-Isla, Lidia Garrucho, Dimitri A Kessler, Esmeralda Ruiz Pujadas, Oliver Díaz, Maciej Bobowicz, Katarzyna Gwoździewicz, Xavier Bargalló, Paulius Jarus̆evic̆ius, Richard Osuala, Kaisar Kushibar, Karim Lekadir | Scientific Reports 15 (1), 38312, 2025
Breast radiotherapy planning: A decision‐making framework using deep learning
2025 | Pedro Gallego, Eva Ambroa, Jaime PérezAlija, Nuria Jornet, Cristina Anson, Natalia Tejedor, Helena Vivancos, Agust Ruiz, Marta Barceló, Alejandro Dominguez, Victor Riu, Javier Roda, Pablo Carrasco, Simone Balocco, Oliver Díaz | Medical Physics 52 (3), 1798-1809, 2025
A review of methods for trustworthy AI in medical imaging: The FUTURE-AI Guidelines
2025 | Haridimos Kondylakis, Richard Osuala, Xénia Puig-Bosch, Noussair Lazrak, Oliver Diaz, Kaisar Kushibar, Ioanna Chouvarda, Stefanie Charalambous, Martijn PA Starmans, Sara Colantonio, Nikos Tachos, Smriti Joshi, Henry C Woodruff, Zohaib Salahuddin, Gianna Tsakou, Susanna Aussó, Leonor Cerdá Alberich, Nickolas Papanikolaou, Philippe Lambin, Kostas Marias, Manolis Tsiknakis, Dimitrios I Fotiadis, Luis Martí-Bonmatí, Karim Lekadir | IEEE Journal of Biomedical and Health Informatics, 2025
Deep learning-based model for difficult transfemoral access prediction compared with human assessment in stroke thrombectomy
2025 | Pere Canals, Alvaro Garcia-Tornel, Manuel Requena, Magda Jabłońska, Jiahui Li, Simone Balocco, Oliver Díaz, Alejandro Tomasello, Marc Ribo | Journal of NeuroInterventional Surgery 17 (6), 653-659, 2025
Development of Method to Predict Career Choice of IT Students in Kazakhstan by Applying Machine Learning Methods
2025 | Bauyrzhan Berlikozha, Azamat Serek, Tamara Zhukabayeva, Azamat Zhamanov, Oliver Dias | Journal of Robotics and Control (JRC) 6 (1), 426-436, 2025
Segmentation variability and radiomics stability for predicting Triple-Negative Breast Cancer subtype using Magnetic Resonance Imaging
2025 | Isabella Cama, Alejandro Guzmán, Cristina Campi, Michele Piana, Karim Lekadir, Sara Garbarino, Oliver Díaz | Journal of Medical Imaging 12 (5), 054501-054501, 2025
Clinically-guided Data Synthesis for Laryngeal Lesion Detection
2025 | Chiara Baldini, Kaisar Kushibar, Richard Osuala, Simone Balocco, Oliver Diaz, Karim Lekadir, Leonardo S Mattos | International Conference on Medical Image Computing and Computer-Assisted …, 2025
A Wearable Electronic Band for Stress Understanding Using Machine Learning
2025 | P Subathra, S Malarvizhi, Oliver Diaz, Shantanu Patil | IEEE Sensors Journal, 2025
Optimization and validation of a mechanical compression model for digital breast phantoms in mammography and tomosynthesis simulations
2025 | Gustavo Pacheco, Koen Michielsen, Eloy García, Oliver Díaz, Ioannis Sechopoulos | Medical physics 52 (7), e17980, 2025
Assessing Cancer Presence in Prostate MRI Using Multi-Encoder Cross-Attention Networks
2025 | Avtantil Dimitriadis, Grigorios Kalliatakis, Richard Osuala, Dimitri Kessler, Simone Mazzetti, Daniele Regge, Oliver Diaz, Karim Lekadir, Dimitrios Fotiadis, Manolis Tsiknakis, Nikolaos Papanikolaou, ProCAncer-I Consortium, Kostas Marias | Journal of Imaging 11 (4), 98, 2025
Generating Synthetic Data in Cancer Research
2025 | | Trustworthy AI in Cancer Imaging Research, 81-101, 2025
Agent-Based Output Drift Detection for Breast Cancer Response Prediction in a Multisite Clinical Decision Support System
2025 | | arXiv preprint arXiv:2512.18450, 2025
Stress detection using time-frequency analysis and machine learning framework
2025 | | Biomedical Physics & Engineering Express 12 (1), 015011, 2025
Explainable Radiomics-Based Model for Automatic Image Quality Assessment in Breast Cancer DCE MRI Data
2025 | | Journal of Imaging 11 (11), 417, 2025
Comparing Conditional Diffusion Models for Synthesizing Contrast-Enhanced Breast MRI from Pre-contrast Images
2025 | | Deep Breast Workshop on AI and Imaging for Diagnostic and Treatment …, 2025
Single Image Test-Time Adaptation via Multi-View Co-Training
2025 | | International Conference on Medical Image Computing and Computer-Assisted …, 2025
Mask-Guided Multi-Channel SwinUNETR Framework for Robust MRI Classification
2025 | | arXiv preprint arXiv:2508.20621, 2025
Stakeholder Engagement for Trustworthy AI: Experiences and Results from the RadioVal Project on Breast Cancer Imaging
2025 | | Trustworthy AI in Cancer Imaging Research, 53-78, 2025
1792 Deep learning decision-making framework for optimal technique selection in breast radiotherapy: predicting dose distributions for IMRT and 3D-CRT
2025 | | Radiotherapy and Oncology 206, S3385-S3386, 2025
From hand-crafted radiomics to deep learning: evaluating breast cancer classification methods in mammograms
2025 | | Medical Imaging 2025: Imaging Informatics 13411, 177-186, 2025
Guía del entorno Uptitude para el profesorado
2025 | | Grup Learning, Media and social Interactions. Facultat d'Educació. UB, 2025
A perspective on explainable artificial intelligence methods: SHAP and LIME
2025 | Ahmed M Salih, Zahra Raisi‐Estabragh, Ilaria Boscolo Galazzo, Petia Radeva, Steffen E Petersen, Karim Lekadir, Gloria Menegaz | Advanced Intelligent Systems 7 (1), 2400304, 2025
Trust, trustworthiness, and the future of medical AI: outcomes of an interdisciplinary expert workshop
2025 | Melanie Goisauf, Mónica Cano Abadía, Kaya Akyüz, Maciej Bobowicz, Alena Buyx, Ilaria Colussi, Marie-Christine Fritzsche, Karim Lekadir, Pekka Marttinen, Michaela Th Mayrhofer, Janos Meszaros | Journal of Medical Internet Research 27, e71236, 2025
Radiomics Quality Score 2.0: towards radiomics readiness levels and clinical translation for personalized medicine
2025 | Philippe Lambin, Henry C Woodruff, Shruti Atul Mali, Xian Zhong, Sheng Kuang, Elizaveta Lavrova, Hamza Khan, Karim Lekadir, Alex Zwanenburg, Joseph Deasy, Maciej Bobowicz, Luis Marti-Bonmati, Andrew Maidment, Michel Dumontier, Paul E Kinahan, J Martijn Nobel, Sina Amirrajab, Zohaib Salahuddin | Nature Reviews Clinical Oncology 22 (11), 831-846, 2025
Segment anything model for fetal head-pubic symphysis segmentation in intrapartum ultrasound image analysis
2025 | Zihao Zhou, Yaosheng Lu, Jieyun Bai, Victor M Campello, Fan Feng, Karim Lekadir | Expert Systems with Applications 263, 125699, 2025
PSFHS challenge report: pubic symphysis and fetal head segmentation from intrapartum ultrasound images
2025 | Jieyun Bai, Zihao Zhou, Zhanhong Ou, Gregor Koehler, Raphael Stock, Klaus Maier-Hein, Marawan Elbatel, Robert Martí, Xiaomeng Li, Yaoyang Qiu, Panjie Gou, Gongping Chen, Lei Zhao, Jianxun Zhang, Yu Dai, Fangyijie Wang, Guénolé Silvestre, Kathleen Curran, Hongkun Sun, Jing Xu, Pengzhou Cai, Lu Jiang, Libin Lan, Dong Ni, Mei Zhong, Gaowen Chen, Víctor M Campello, Yaosheng Lu, Karim Lekadir | Medical Image Analysis 99, 103353, 2025
Empowering cancer research in Europe: the EUCAIM cancer imaging infrastructure
2025 | Luis Martí-Bonmatí, Ignacio Blanquer, Manolis Tsiknakis, Gianna Tsakou, Ricard Martinez, Salvador Capella-Gutierrez, Sara Zullino, Janos Meszaros, Esther E Bron, Jose Luis Gelpi, Katrine Riklund, Linda Chaabane, Heinz-Peter Schlemmer, Mario Aznar, Patricia Serrano Candelas, Peter Gordebeke, Monika Hierath, European Society of Radiology | Insights into Imaging 16 (1), 47, 2025
Recognising errors in AI implementation in radiology: a narrative review
2025 | Nikolaos Stogiannos, Renato Cuocolo, Tugba Akinci D’Antonoli, Daniel Pinto Dos Santos, Hugh Harvey, Merel Huisman, Burak Kocak, Elmar Kotter, Karim Lekadir, Susan Cheng Shelmerdine, Kicky G van Leeuwen, Peter van Ooijen, Michail E Klontzas, Christina Malamateniou | European Journal of Radiology, 112311, 2025
Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge
2025 | Maximilian Zenk, Ujjwal Baid, Sarthak Pati, Akis Linardos, Brandon Edwards, Micah Sheller, Patrick Foley, Alejandro Aristizabal, David Zimmerer, Alexey Gruzdev, Jason Martin, Russell T Shinohara, Annika Reinke, Fabian Isensee, Santhosh Parampottupadam, Kaushal Parekh, Ralf Floca, Hasan Kassem, Bhakti Baheti, Siddhesh Thakur, Verena Chung, Kaisar Kushibar, Karim Lekadir, Meirui Jiang, Youtan Yin, Hongzheng Yang, Quande Liu, Cheng Chen, Qi Dou, Pheng-Ann Heng, Xiaofan Zhang, Shaoting Zhang, Muhammad Irfan Khan, Mohammad Ayyaz Azeem, Mojtaba Jafaritadi, Esa Alhoniemi, Elina Kontio, Suleiman A Khan, Leon Mächler, Ivan Ezhov, Florian Kofler, Suprosanna Shit, Johannes C Paetzold, Timo Loehr, Benedikt Wiestler, Himashi Peiris, Kamlesh Pawar, Shenjun Zhong, Zhaolin Chen, Munawar Hayat, Gary Egan, Mehrtash Harandi, Ece Isik Polat, Gorkem Polat, Altan Kocyigit, Alptekin Temizel, Anup Tuladhar, Lakshay Tyagi, Raissa Souza, Nils D Forkert, Pauline Mouches, Matthias Wilms, Vishruth Shambhat, Akansh Maurya, Shubham Subhas Danannavar, Rohit Kalla, Vikas Kumar Anand, Ganapathy Krishnamurthi, Sahil Nalawade, Chandan Ganesh, Ben Wagner, Divya Reddy, Yudhajit Das, Fang F Yu, Baowei Fei, Ananth J Madhuranthakam, Joseph Maldjian, Gaurav Singh, Jianxun Ren, Wei Zhang, Ning An, Qingyu Hu, Youjia Zhang, Ying Zhou, Vasilis Siomos, Giacomo Tarroni, Jonathan Passerrat-Palmbach, Ambrish Rawat, Giulio Zizzo, Swanand Ravindra Kadhe, Jonathan P Epperlein, Stefano Braghin, Yuan Wang, Renuga Kanagavelu, Qingsong Wei, Yechao Yang, Yong Liu, Krzysztof Kotowski, Szymon Adamski, Bartosz Machura, Wojciech Malara, Lukasz Zarudzki, Jakub Nalepa, Yaying Shi, Hongjian Gao, Salman Avestimehr, Yonghong Yan, Agus S Akbar, Ekaterina Kondrateva, Hua Yang, Zhaopei Li, Hung-Yu Wu, Johannes Roth, Camillo Saueressig, Alexandre Milesi, Quoc D Nguyen, Nathan J Gruenhagen, Tsung-Ming Huang, Jun Ma, Har Shwinder H Singh, Nai-Yu Pan, Dingwen Zhang, Ramy A Zeineldin, Michal Futrega, Yading Yuan, Gian Marco Conte, Xue Feng, Quan D Pham, Yong Xia, Zhifan Jiang, Huan Minh Luu, Mariia Dobko, Alexandre Carré, Bair Tuchinov, Hassan Mohy-ud-Din, Saruar Alam, Anup Singh, Nameeta Shah, Weichung Wang, Chiharu Sako, Michel Bilello, Satyam Ghodasara, Suyash Mohan, Christos Davatzikos, Evan Calabrese, Jeffrey Rudie, Javier Villanueva-Meyer, Soonmee Cha, Christopher Hess, John Mongan | Nature communications 16 (1), 6274, 2025
Differences in technical and clinical perspectives on AI validation in cancer imaging: mind the gap!
2025 | Ioanna Chouvarda, Sara Colantonio, Ana SC Verde, Ana Jimenez-Pastor, Leonor Cerdá-Alberich, Yannick Metz, Lithin Zacharias, Shereen Nabhani-Gebara, Maciej Bobowicz, Gianna Tsakou, Karim Lekadir, Manolis Tsiknakis, Luis Martí-Bonmati, Nikolaos Papanikolaou | European Radiology Experimental 9 (1), 7, 2025
Digital twins: reimagining the future of cardiovascular risk prediction and personalised care
2025 | Katarzyna Dziopa, Karim Lekadir, Pim van der Harst, Folkert W Asselbergs | Hellenic Journal of Cardiology 81, 4-8, 2025
ACOUSLIC-AI challenge report: Fetal abdominal circumference measurement on blind-sweep ultrasound data from low-income countries
2025 | M Sofia Sappia, Chris L de Korte, Bram van Ginneken, Dean Ninalga, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Tanya Akumu, Carlos Martín-Isla, Karim Lekadir, Victor M Campello, Jorge Fabila, Anette Beverdam, Jeroen van Dillen, Chase Neff, Keelin Murphy | Medical image analysis 105, 103640, 2025
Empirical comparison of post-processing debiasing methods for machine learning classifiers in healthcare
2025 | Vien Ngoc Dang, Víctor M Campello, Jerónimo Hernández-González, Karim Lekadir | Journal of Healthcare Informatics Research 9 (3), 465-493, 2025
Enhancing fetal ultrasound image quality and anatomical plane recognition in low-resource settings using super-resolution models
2025 | Hafida Boumeridja, Mohammed Ammar, Mahmood Alzubaidi, Saïd Mahmoudi, Lamya Nawal Benamer, Marco Agus, Mowafa Househ, Karim Lekadir, Mostafa El Habib Daho | Scientific Reports 15 (1), 8376, 2025
Foundation models for radiology—the position of the AI for Health Imaging (AI4HI) network
2025 | José Guilherme de Almeida, Leonor Cerdá Alberich, Gianna Tsakou, Kostas Marias, Manolis Tsiknakis, Karim Lekadir, Luis Marti-Bonmati, Nikolaos Papanikolaou | Insights into Imaging 16 (1), 168, 2025
Landmark detection challenge for intrapartum ultrasound measurement meeting the actual clinical assessment of labor progress
2025 | Jing Bai, Ilyas Khobo, S Slimani, Y Lu, D Ni, M Yaqub, K Lekadir, J Ma, S Li | Medical Image Computing and Computer Assisted Intervention 2025, 2025
Cost-effectiveness analysis of artificial intelligence (AI) in earlier detection of liver lesions in cirrhotic patients at risk of hepatocellular carcinoma in Italy
2025 | L Maas, C Contreras-Meca, S Ghezzo, F Belmans, A Corsi, J Cant, W Vos, Maciej Bobowicz, M Rygusik, Dariusz Krzysztof Laski, L Annemans, M Hiligsmann, EuCanImage Working Group | Journal of Medical Economics 28 (1), 1023-1036, 2025
Federated learning in low-resource settings: A chest imaging study in Africa--Challenges and lessons learned
2025 | Jorge Fabila, Lidia Garrucho, Víctor M Campello, Carlos Martín-Isla, Karim Lekadir | arXiv preprint arXiv:2505.14217, 2025
Position paper: Artificial intelligence in medical image analysis: Advances, clinical translation, and emerging frontiers
2025 | AS Panayides, H Chen, ND Filipovic, T Geroski, J Hou, K Lekadir, K Marias, GK Matsopoulos, Giorgos Papanastasiou, P Sarder, G Tourassi, SA Tsaftaris, H Fu, E Kyriacou, CP Loizou, M Zervakis, JH Saltz, FE Shamout, KCL Wong, J Yao, A Amini, DI Fotiadis, CS Pattichis, MS Pattichis | IEEE Journal of Biomedical and Health Informatics, 2025
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