Theme / Area: Artificial Intelligence and imaging Biomarkers
First order entropy and energy/uniformity for PET quantification: Application to genomic alteration discrimination in NSCLC
Emilio Altozano Ruiz, Adrián Piñeiro Donis, Eva María Triviño Ibáñez, Alba Gallardo Jiménez, Juan Antonio Cabello Pacheco
Neural network assessment of aortic, iliac, renal, and mesenteric artery calcification in CTA: Normalized scoring framework and comparison to threshold-based method
Johannes Halkoaho, Oskari Niiranen, Tuomas Kaseva, Arttu Ruohola, Eero Salli, Sauli Savolainen, Harri Hakovirta, Marko Kangasniemi
Anatomical 3D-printed phantoms for performance evaluation of AI segmentation models
Carmen Salvador-Ribés, Alejandro Mora-Rubio, Luisa Mª Gavier, Mª del Pilar Morcillo Toledo, Mª Mercedes Vázquez-Martínez, Luis Martí-Bonmatí, Montserrat Carles
Implementation of AI-based quality control methods for commercial synthetic CT in MRI-only radiotherapy: development of an in-house generator
marie legrand, damien autret, stéphane dufreneix, david rousseau
MATTO-GBM: An Open-Source Platform for AI-Driven Radiotherapy Planning in Glioblastoma
Tobias Fechter, Alejandro Mora-Rubio, Dejan Kuhn, Ilinca Popp, María José Pérez-Calatayud, Dimos Baltas, Luis Martí-Bonmatí, Anca-Ligia Grosu, Montserrat Carles
Radiomics-based detection of lateralization in primary hyperaldosteronism: a multicenter study
Daniel Prieto, Miguel Ángel Gomez, Marta Araujo, Iago Millan, Juan Trujillo, Jesús Fraguas, Álvaro Flandes, Carlos Rodriguez, Ángel Rebollo, Eva María Moya, Laura Manjón-Miguélez, Cristina Robles, Emilia Gómez-Hoyos, Elena Mena, Feliciano García
Convolutional neural networks for decoding angles of approach in PET detector modules.
Finn Onori, Ben Wynne
Commissioning of a machine learning model for automated left breast intensity modulated radiation therapy treatments.
Célia Petitjean, Jocelyne Mazurier, Xavier Franceries, Susanna Adera, Jérémy Bétend, Jérémy Camilleri, Vincent Connord, Nicolas Mathy, Fanny Solinhac, Olivier Gallocher, Guillaume Janoray, Gaëlle Jimenez, Igor Latorzeff, Baptiste Pichon, Baptiste Pinel
Ethos online adaptive radiotherapy system: dosimetric quality and efficiency evaluation for prostate treatments
Ana Corbalán Mirete, Aitor Ortega González, Jonathan Suárez Arteaga, Eduardo Ruiz García, Javier Ochoa Caparrós, Miguel Martínez Albaladejo, David Ramos Amores, Vicente Puchades Puchades, Alfredo Serna Berná
Feasibility study of Ethos Artificial-Intelligence online adaptive prostate SBRT
Ana Corbalán Mirete, Jonathan Suárez Arteaga, Aitor Ortega González, Eduardo Ruiz García, Javier Ochoa Caparrós, Miguel Martínez Albaladejo, David Ramos Amores, Vicente Puchades Puchades, Alfredo Serna Berná
Development of new approaches for generating synthetic Diffusion Gradient Directions in Diffusion Tensor Imaging
Simone Santoro, Mattia Ricchi, Leonardo Brizi, Alex Green, John Eraifej, Amir Divanbeighi Zand, Claudia Testa, James Grist
Independent Assessment Framework for Radiology AI Algorithms and Datasets
Nadia Smith, Rebecca Nutbrown, Mark Halling-Brown
Explainable deep learning for dose prediction in prostate radiotherapy
Tristán Suárez Baraza, Eduardo Rodríguez Serafín, Pedro Gallego Franco, Alba Díaz Martín, Iago José González Vecín, Victoria Morato García, Óscar Estrada Pastor, Arkae Sadia Morán, Atamán Morales Martín, Antonio Iáñez Ferres, Eugenio Ruiz Egea, Ana María Tornero López, Oliver Díaz Montesdeoca
Automated prediction of plan quality score (PQS) from planning CT by deep learning neural network
Aurora Corso, Paola Chiovati, Fabio Matrone, Alessandra Donofrio, Moreno Calderan, Andrea Dassie, Michele Avanzo
Multi-scale YOLO-based approach for prostate tissue segmentation in Digital Pathology Whole Slides Images: an exploratory study
Gabriele Palazzo, Giuseppe Ricciardi, Federico Scarfò, Claudio Doglioni, Claudio Fiorino
Generative AI for developing 3D patient-specific anatomical models from CT/MR scans
Valentina Paneta, Vasilis Eleftheriadis, Ioannis Tsougos, Panagiotis Papadimitroulas
Impact of Mask Generation Methods on Radiomic, Dosiomic and DVH Feature Integrity
LIYA MUTHUKULATHIL ANTONY
Duke Sim as a tool for deep Learning–Based Denoising in Low-Dose CT via Virtual Patient
Lorenzo Mazzoni, Sandra Doria, Alessio Gnerucci, Marco Trallori, Jacopo Pratesi, Marco Rossetti, Michele Ginolfi, Ehsan Abadi, Francesco Ria, Adriana Taddeucci, Luca Fedeli, Cesare Gori
Malignant breast lesion segmentation on 3T DCE-MRI using patch-based V-Net
Marina Fedon Vocaturo, Luisa Altabella, Giuseppe Cardano, Nicolo' Cardobi, Giovanni Puppini, Pier Giorgio Esposito, Carlo Cavedon
A neural network model for the accurate detection of cancer lesions in mammography
Eva Raina, Martina Oria, Massimo Salvi, Alessandra Manzin
Artificial Intelligence vs attenuation-based algorithm in breast density assessment: a comparative study in 2D screening mammography
Gabriella Pasquali, Francesca Bonfantini, Davide Monticelli, Michela Lecchi
Implementation of AI software for analyzing chest x-ray imaging
Giovanna Venturi, Simona Farnedi, Valentina Ravaglia, Nicoletta Scrittori
CT-based radiomics and machine learning for the prediction of microvascular invasion (MVI) and post-transplant recurrence in Hepatocellular Carcinoma
Virginia Piva, Giulia Zorzi, Francesco Rizzetto, Cristina De Mattia, Angelo Vanzulli, Paola Enrica Colombo
Implementation of a Knowledge-Based Planning Model for Node-Positive Prostate SBRT with Empty Bladder
Reena Devi Phurailatpam, Divya Patil, Jeevanshu Jain, Priyamvada Maitre, Vedang Murthy
Could radiomic features derived from white-blood cardiac MR images predict native myocardium T1 values in cardiac amyloidosis?
Angelos-Ioannis Damoulis, Giorgos Broumpoulis, Niki Lama, Evgenia Efthimiou, Efstratios Karavasilis, Nikolaos Kelekis, Ioannis Gkerles, Georgios Velonakis, Alexandros Briasoulis, Efstathios Kastritis, Ioannis Seimenis
Multimodal Prostate MRI Risk Stratification: Comparative Evaluation of a Zonal Radiomics–Deep Learning Framework
Dimitrios Samaras, Christos Davatzikos, Dimitra Tsivaka, Maria Vakalopoulou, Kyriaki Theodorou, Katerina Vassiou, Marianna Vlychou, Vasileios Tzortzis, Ioannis Tsougos
Stability of Radiomic Features in Multicenter Prostate MRI: A Perturbation-Based Analysis
Dimitrios Samaras, Christos Davatzikos, Dimitra Tsivaka, Maria Vakalopoulou, Kyriaki Theodorou, Katerina Vassiou, Marianna Vlychou, Vasileios Tzortzis, Ioannis Tsougos
Addressing cross-kernel variability in CT radiomics: A phantom-based harmonization approach for liver radiomic features
Ismail Ozsoykal, Ufuk Besenk, Mustafa Alper Selver, Aysegul Yurt
Impact of intensity discretization on radiomic feature robustness: A comparative study in multiple sclerosis brain MR images
Konstantinos Petrou, Agapi Ploussi, Ioannis Seimenis, Efstratios Karavasilis, Efstathios P. Efstathopoulos
Standardized SUV4-Based Total Metabolic Tumor Volume Preserves Prognostic Value Across Major Lymphoma Subtypes: A Multicenter phase III FDG-PET/CT analysis
Enrica Bergalla, Luca Guerra, Lale Kostakoglu, Federico Fallanca, Rexhep Dhurmo, Fabrizio Bergesio, Tina Nielsen, Tarec El-Galaly, Umberto Vitolo, Alessandro Rambaldi, Massimo Federico, Andrea Gallamini, Stefano Luminari, Stephane Chauvie
Whole-body FDG-PET radiomics with lesion-aware modelling enables lymphoma differentiation
Enrica Bergalla, Viola Talini, Lale Kostakoglu, Luca Guerra, Federico Fallanca, Rexhep Durmo, Fabrizio Bergesio, Adriano De Maggi, Deniz Sahin, Alessandro Rambaldi, Massimo Federico, Umberto Vitolo, Andrea Gallamini, Stefano Luminari, Stephane Chauvie
Towards Quantitative Bone Characterization From MRI: Automated Vertebral Bone Quality Analysis and Prospective DECT–MRI Density Mapping
Kristian Stojšić, Slaven Jurković