A software prototype for the assessment of tumor treatment response using diffusion and perfusion MR imaging. - Vangelis Sakkalis; Georgios C. Manikis; Nikolaos Papanikolaou 003; Ioannis Karatzanis; Kostas Marias (EMBC, 2012)

Diffusion Modelling Tool (DMT) for the analysis of Diffusion Weighted Imaging (DWI) Magnetic Resonance Imaging (MRI) data. - Georgios C. Manikis; Katerina Nikiforaki; Nikolaos Papanikolaou 003; Kostas Marias (CGI (Short Papers), 2016)

Visualizing tumor environment with perfusion and diffusion MRI: Computational challenges. - Kostas Marias; Katerina Nikiforaki; Georgios C. Manikis; Eleftherios Kontopodis; Nikolaos Papanikolaou 003 (CGI (Short Papers), 2016)

Automatic Detection and Segmentation of Lung Lesions using Deep Residual CNNs. - João B. S. Carvalho; José-Maria Moreira; Mário A. T. Figueiredo; Nikolaos Papanikolaou 003 (BIBE, 2019)

Sparse Representations on DW-MRI: A Study on Pancreas. - Anastasia Pentari; Grigorios Tsagkatakis; Kostas Marias; Georgios C. Manikis; Nikolaos Kartalis; Nikolaos Papanikolaou 003; Panagiotis Tsakalides (BIBE, 2019)

Regularization Techniques in Radiomics: A Case Study on the Prediction of pCR in Breast Tumours and the Axilla. - Eunice Carrasquinha; João Santinha; Alexander Mongolin; Maria Lisitskiya; Joana Ribeiro; Fátima Cardoso; Celso Matos; Leonardo Vanneschi; Nikolaos Papanikolaou 003 (CIBB, 2019)

A multicenter study on radiomic features from T2-weighted images of a customized MR pelvic phantom setting the basis for robust radiomic models in clinics. - Linda Bianchini; João Santinha; Nuno Loução; Mário A. T. Figueiredo; Francesca Botta; Daniela Origgi; Marta Cremonesi; Enrico Cassano; Nikolaos Papanikolaou 003; Alessandro Lascialfari (CoRR, 2020)

A new smart-cropping pipeline for prostate segmentation using deep learning networks. - Dimitrios G. Zaridis; Eugenia Mylona; Kostas Marias; Nikolaos Papanikolaou 003; Nikolaos S. Tachos; Dimitrios I. Fotiadis (CoRR, 2021)

FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging. - Karim Lekadir; Richard Osuala; Catherine Gallin; Noussair Lazrak; Kaisar Kushibar; Gianna Tsakou; Susanna Aussó; Leonor Cerdá Alberich; Konstantinos Marias; Manolis Tsiknakis; Sara Colantonio; Nickolas Papanikolaou 003; et al. (CoRR, 2021)

Improving Generalizability to Out-of-Distribution Data in Radiogenomic Models to Predict IDH Mutation Status in Glioma Patients. - João Santinha; Celso Matos; Nickolas Papanikolaou 003; Mário A. T. Figueiredo (MeMeA, 2022)

Testing the Segment Anything Model on radiology data. - José Guilherme de Almeida; Nuno Miguel Rodrigues; Sara Silva; Nickolas Papanikolaou 003 (CoRR, 2023)

Radiomics-Based Reliable Predictions of Side Effects After Radiotherapy for Prostate Cancer. - Giulio Del Corso; Eva Pachetti; Rossana Buongiorno; Ana Carolina Rodrigues; Danila Germanese; Maria Antonietta Pascali; José G. de Almeida; Nuno Miguel Rodrigues; Manolis Tsiknakis; Nickolas Papanikolaou 003; Daniele Regge; Kostas Marias; et al. (ISBI, 2024)

StitchPro for Computational Pathology Stitching in Patients with Prostate Cancer. - Ana Sofia Castro Verde; José Guilherme de Almeida; Jorge Fonseca; Celso Matos; Raquel Cruz Conceição; Nickolas Papanikolaou 003 (ISBI, 2024)

Data and System Traceability for Transparent AI in Medical Imaging. - Sara Colantonio; Andrea Berti; Gianluca Carloni; Claudia Caudai; Giulio Del Corso; Danila Germanese; Eva Pachetti; Maria Antonietta Pascali; Varvara Kalokyri; Haridimos Kondylakis; Charalampos Kalantzopoulos; Nikolaos S. Tachos; et al. (SEBD, 2024)

Analysis of domain shift in whole prostate gland, zonal and lesions segmentation and detection, using multicentric retrospective data. - Nuno Miguel Rodrigues; José Guilherme de Almeida; Ana Sofia Castro Verde; Ana Mascarenhas Gaivão; Carlos Bilreiro; Inês Santiago; Joana Ip; Sara Belião; Raquel Moreno; Celso Matos; Leonardo Vanneschi; Manolis Tsiknakis; et al. (Comput. Biol. Medicine, 2024)

Corrigendum to "Analysis of domain shift in whole prostate gland, zonal and lesions segmentation and detection, using multicentric retrospective data" [Comput. Biol. Med. 17 (2024) 108216]. - Nuno Miguel Rodrigues; José Guilherme de Almeida; Ana Sofia Castro Verde; Ana Mascarenhas Gaivão; Carlos Bilreiro; Inês Santiago; Joana Ip; Sara Belião; Raquel Moreno; Celso Matos; Leonardo Vanneschi; Manolis Tsiknakis; et al. (Comput. Biol. Medicine, 2024)

Uplift Modeling for Treatment Effect Estimation in the Prostate Cancer Treatment Landscape. - Ana Rodrigues 007; Nuno Miguel Rodrigues; José Guilherme de Almeida; Ana Mascarenhas Gaivão; Carlos Bilreiro; Inês Santiago; Joana Ip; Sara Belião; Manolis Tsiknakis; Kostas Marias; Daniele Regge; Nikolaos Papanikolaou 003; et al. (IbPRIA (2), 2025)

Large-Scale Radiomics Analysis for Prostate Cancer Detection Harnessing Machine and Deep Learning Models. - Eugenia Mylona; Dimitrios I. Zaridis; Charalampos Kalantzopoulos; Vasileios C. Pezoulas; Nikolaos S. Tachos; George K. Matsopoulos; Daniele Regge; Nikolaos Papanikolaou 003; Manolis Tsiknakis; Kostas Marias; Dimitrios I. Fotiadis (ISBI, 2025)

Label-Free Machine Learning-Based Segmentation of Whole-Body Bone Marrow Imaging in Multiple Myeloma. - Emmanouil Koutoulakis; Eleftherios Trivizakis; Vassilis Koutoulidis; Lia A. Moulopoulos; Evangelos Terpos; Ioannis Ntanasis-Stathopoulos; Panagiotis Malandrakis; Panagiotis Grigoropoulos; Panagiotis Papadopoulos; Katerina Nikiforaki; Nikolaos Papanikolaou 003; Dimitrios I. Fotiadis; et al. (SACI, 2025)

Radiocytogenetics in Multiple Myeloma: Predicting Cytogenetic Aberrations from WBCT Imaging Features. - Eleftherios Trivizakis; Emmanouil Koutoulakis; Vassilis Koutoulidis; Lia A. Moulopoulos; Evangelos Terpos; Ioannis Ntanasis-Stathopoulos; Panagiotis Malandrakis; Panagiotis Grigoropoulos; Panagiotis Papadopoulos; Katerina Nikiforaki; Nikolaos Papanikolaou 003; Dimitrios I. Fotiadis; et al. (SACI, 2025)

Texture Preserving Deep Learning-Based Noise Reduction for Anatomical Magnetic Resonance Images and its Impact on Imaging Features. - Eleftherios Trivizakis; Eugenia Mylona; Katerina Nikiforaki; Dimitrios I. Zaridis; Manolis Tsiknakis; Dimitrios I. Fotiadis; Nikolaos S. Tachos; Daniele Regge; Nikolaos Papanikolaou 003; Kostas Marias (SACI, 2025)

AI Model Passport: Data and System Traceability Framework for Transparent AI in Health. - Varvara Kalokyri; Nikolaos S. Tachos; Charalampos Kalantzopoulos; Stelios Sfakianakis; Haridimos Kondylakis; Dimitrios I. Zaridis; Sara Colantonio; Daniele Regge; Nikolaos Papanikolaou 003; ProCAncer-I Consortium; Konstantinos Marias; Dimitrios I. Fotiadis; et al. (CoRR, 2025)