Accelerating the lab to market transition of AI tools for cancer management

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Project position paper on regulatory and ethical aspects

Project position paper on regulatory and ethical aspects for reuse and transnational sharing of health imaging data in the EU

Final platform design

Final design revised to fulfil the complete verification of regulatory compliance model in D22

Interim dissemination & communication plan

Dissemination communication plan for year 2 and record of dissemination communication activities undertaken during year 1

Prospective assessment of the Repository sustainability

Prospective assessment of resources required to ensure sustainability of the Repository

accessible Imaging Health Data map

Mapping of accessible Imaging Health Data repos ownedmanaged by Partners definition of control for data inclusion Definition of clinical data eform

Action plan for Reposity sustainability

Plan of actions to ensure Repositorys sustainability

Open Challenge awarded solutions

Results from the Open Challenges: description of the awarded solution for each type of cancer.

Comparative assessment of the proposedharmonisation approaches

Description of the results of the comparative assessment among harmonisation approaches

Final dissemination & communication plan

Dissemination communication plan for year 3 and record of dissemination communication activities undertaken during year 2

First dissemination & communication plan

Dissemination communication plan for year 2 and record of dissemination communication activities undertaken during year 1

Interim platform design

Design of the architecture and main functionalities

Contributions to standards

Compilation of our contributions towards international technical, operational and ethical standards for use of AI in health imaging.

Repository sustainability: record of undertaken actions

Record of undertaken actions, analysis of current situation and guidelines for the future

Dissemination toolkit

Website dissemination toolkit 1

Readiness to call the Open Challenges

Pubblicazioni

Non-invasive imaging prediction of tumor hypoxia: A novel developed and externally validated CT and FDG-PET-based radiomic signatures

Autori: Sebastian Sanduleanu Arthur Jochems Taman Upadhaya Aniek J.G. Even Ralph T.H. Leijenaar Frank J.W.M. Dankers Remy Klaassen Henry C. Woodruff Mathieu Hatt Hans J.A.M. Kaanders Olga Hamming-Vrieze Hanneke W.M. van Laarhoven Rathan M. Subramiam Shao Hui Huang Brian O'Sullivan Scott V. Bratman Ludwig J. Dubois Razvan L. Miclea Dario Di Perri Xavier Geets Mireia Crispin-Ortuzar Aditya Apte Joseph O. De
Pubblicato in: Radiotherapy & Oncology, 2020, ISSN 0167-8140
Editore: Elsevier BV
DOI: 10.1016/j.radonc.2020.10.016

Large-Kernel Attention for 3D Medical Image Segmentation

Autori: Hao Li; Yang Nan; Javier Del Ser; Guang Yang
Pubblicato in: Cognitive Computation, 2023, ISSN 1866-9956
Editore: Springer Verlag
DOI: 10.1007/s12559-023-10126-7

Prostate MRI: what to consider when shopping for AI tools

Autori: Tobias Penzkofer
Pubblicato in: European Radiology, Numero 34, 2024, Pagina/e 7690-7692, ISSN 1432-1084
Editore: Springer Science and Business Media LLC
DOI: 10.1007/s00330-024-10867-5

ME-Net: Multi-encoder net framework for brain tumor segmentation

Autori: Wenbo Zhang,Guang Yang,He Huang,Weiji Yang,Xiaomei Xu,Yongkai Liu,Xiaobo Lai
Pubblicato in: Imaging Systems and Technology, 2021, ISSN 1098-1098
Editore: Wiley Periodicals LLC
DOI: 10.1002/ima.22571

Prognostic and Predictive Value of Integrated Qualitative and Quantitative Magnetic Resonance Imaging Analysis in Glioblastoma

Autori: Verduin, M.; Primakov, S.; Compter, I.; Woodruff, H.C.; van Kuijk, S.M.J.; Ramaekers, B.L.T.; te Dorsthorst, M.; Revenich, E.G.M.; ter Laan, M.; Pegge, S.A.H.; Meijer, F.J.A.; Beckervordersandforth, J.; Speel, E.J.; Kusters, B.; de Leng, W.W.J.; Anten, M.M.; Broen, M.P.G.; Ackermans, L.; Schijns, O.E.M.G.; Teernstra, O.; Hovinga, K.; Vooijs, M.A.; Tjan-Heijnen, V.C.G.; Eekers, D.B.P.; Postma, A.A.
Pubblicato in: Cancers, 2021, ISSN 2072-6694
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers13040722

Swin transformer for fast MRI

Autori: Jiahao Huang; Yingying Fang; Yinzhe Wu; Huanjun Wu; Zhifan Gao; Yang Li; Javier Del Ser; Jun Xia; Guang Yang
Pubblicato in: Neurocomputing, 2022, ISSN 0925-2312
Editore: Elsevier BV
DOI: 10.1016/j.neucom.2022.04.051

MRI-Based Radiomics Analysis for the Pretreatment Prediction of Pathologic Complete Tumor Response to Neoadjuvant Systemic Therapy in Breast Cancer Patients: A Multicenter Study

Autori: Renée W. Y. Granzier, Abdalla Ibrahim,,Sergey P. Primakov,,Sanaz Samiei,Thiemo J. A. van Nijnatten ,Maaike de Boer,,Esther M. Heuts,Frans-Jan Hulsmans ,Avishek Chatterjee,Philippe Lambin, Marc B. I. Lobbes,Henry C. Woodruff , Marjolein L. Smidt
Pubblicato in: cancers, 2021, ISSN 2072-6694
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers13102447

Automated detection and segmentation of non-small cell lung cancer computed tomography images

Autori: Sergey P Primakov, Abdalla Ibrahim, Janita E van Timmeren, Guangyao Wu, Simon A Keek, Manon Beuque, Renée W Y Granzier, Elizaveta Lavrova, Madeleine Scrivener, Sebastian Sanduleanu, Esma Kayan, Iva Halilaj, Anouk Lenaers, Jianlin Wu, René Monshouwer, Xavier Geets, Hester A Gietema, Lizza E L Hendriks, Olivier Morin, Arthur Jochems, Henry C Woodruff, Philippe Lambin
Pubblicato in: Nature communications, 2022, ISSN 2041-1723
Editore: Nature Publishing Group
DOI: 10.1038/s41467-022-30841-3

Development and external validation of a non-invasive molecular status predictor of chromosome 1p/19q co-deletion based on MRI radiomics analysis of Low Grade Glioma patients

Autori: Roberto Casale, , Elizaveta Lavrova , Sebastian Sanduleanu , Henry C. Woodruff, Philippe Lambin
Pubblicato in: European Journal of Radiology, 2021, ISSN 0720-048X
Editore: Elsevier BV
DOI: 10.1016/j.ejrad.2021.109678

An artificial intelligence framework integrating longitudinal electronic health records with real-world data enables continuous pan-cancer prognostication

Autori: Olivier Morin, Martin Vallières, Steve Braunstein, Jorge Barrios Ginart, Taman Upadhaya, Henry C. Woodruff, Alex Zwanenburg, Avishek Chatterjee, Javier E. Villanueva-Meyer, Gilmer Valdes, William Chen, Julian C. Hong, Sue S. Yom, Timothy D. Solberg, Steffen Löck, Jan Seuntjens, Catherine Park, Philippe Lambin
Pubblicato in: Nature Cancer, Numero 2, 2022, Pagina/e 709-722, ISSN 2662-1347
Editore: Springer Science and Business Media LLC
DOI: 10.1038/s43018-021-00236-2

Automated 24-sector grid-map algorithm for prostate mpMRI improves precision and efficacy of prostate lesion location reporting

Autori: Thula C. Walter-Rittel, Anne Frisch, Charlie Alexander Hamm, Georg Lukas Baumgärtner, Alexander Hartenstein, Franziska Dräger, Matthias Haas, Hannes Cash, Sebastian Hofbauer, Bernd Hamm, Nick Lasse Beetz, Tobias Penzkofer
Pubblicato in: European Journal of Radiology, Numero 183, 2025, Pagina/e 111897, ISSN 0720-048X
Editore: Elsevier BV
DOI: 10.1016/j.ejrad.2024.111897

From Head and Neck Tumour and Lymph Node Segmentation to Survival Prediction on PET/CT: An End-to-End Framework Featuring Uncertainty, Fairness, and Multi-Region Multi-Modal Radiomics

Autori: Zohaib Salahuddin, Yi Chen, Xian Zhong, Henry C Woodruff, Nastaran Mohammadian Rad, Shruti Atul Mali, Philippe Lambin
Pubblicato in: Cancers (Basel), 2023, ISSN 2072-6694
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers15071932

Learning residual motion correction for fast and robust 3D multiparametric MRI

Autori: Carolin M. Pirkl, Matteo Cencini, Jan W. Kurzawski, Diana Waldmannstetter, Hongwei Li, Anjany Sekuboyina, Sebastian Endt, Luca Peretti, Graziella Donatelli, Rosa Pasquariello, Mauro Costagli, Guido Buonincontri, Michela Tosetti, Marion I. Menzel, Bjoern H. Menze,
Pubblicato in: Medical Image Analysis, 2022, ISSN 1361-8415
Editore: Elsevier BV
DOI: 10.1016/j.media.2022.102387

A Prospectively Validated Prognostic Model for Patients with Locally Advanced Squamous Cell Carcinoma of the Head and Neck Based on Radiomics of Computed Tomography Images

Autori: Simon A. Keek ,Frederik W. R. Wesseling ,Henry C. Woodruff ,Janita E. van Timmeren,,Irene H. Nauta ,Thomas K. Hoffmann ,Stefano Cavalieri,,Giuseppina Calareso 8,Sergey Primakov 1,Ralph T. H. Leijenaar,,Lisa Licitra Marco Ravanelli,,Kathrin Scheckenbach ,Tito Poli,Davide Lanfranco,Marije R. Vergeer,C. René Leemans,Ruud H. Brakenhoff ,Frank J. P. Hoebers 2 andPhilippe Lambin
Pubblicato in: cancers, 2021, ISSN 2072-6694
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers13133271

Deep Learning Enables Prostate MRI Segmentation: A Large Cohort Evaluation With Inter-Rater Variability Analysis

Autori: Yongkai Liu, Qi Miao, Chuthaporn Surawech, Haoxin Zheng, Dan Nguyen, Guang Yang, Steven S. Raman and Kyunghyun Sung
Pubblicato in: Frontiers in Oncology, 2021, ISSN 2234-943X
Editore: Frontiers Media S. A.
DOI: 10.3389/fonc.2021.801876

Less Is More: Unsupervised Mask-Guided Annotated CT Image Synthesis With Minimum Manual Segmentations

Autori: Xiaodan Xing; Giorgos Papanastasiou; Simon Walsh; Guang Yang
Pubblicato in: IEEE Transactions on Medical Imaging, 2023, ISSN 0278-0062
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tmi.2023.3260169

Data infrastructures for AI in medical imaging: a report on the experiences of five EU projects

Autori: Haridimos Kondylakis, Varvara Kalokyri, Stelios Sfakianakis, Kostas Marias, Manolis Tsiknakis, Ana Jimenez-Pastor, Eduardo Camacho-Ramos, Ignacio Blanquer, J Damian Segrelles, Sergio López-Huguet, Caroline Barelle, Magdalena Kogut-Czarkowska, Gianna Tsakou, Nikolaos Siopis, Zisis Sakellariou, Paschalis Bizopoulos, Vicky Drossou, Antonios Lalas, Konstantinos Votis, Pedro Mallol, Luis Marti-Bonmati
Pubblicato in: European radiology experimental, 2023, ISSN 2509-9280
Editore: SpringerOpen
DOI: 10.1186/s41747-023-00336-x

Considerations for artificial intelligence clinical impact in oncologic imaging: an AI4HI position paper

Autori: Luis Marti‑Bonmati1, Dow‑Mu Koh, Katrine Riklund, Maciej Bobowicz, Yiannis Roussakis, Joan C. Vilanova, Jurgen J. Fütterer, Jordi Rimola, Pedro Mallol, Gloria Ribas, Ana Miguel, Manolis Tsiknakis, Karim Lekadir and Gianna Tsakou
Pubblicato in: Insights into Imaging, 2022, ISSN 1869-4101
Editore: Springer Science and Business Media Deutschland GmbH
DOI: 10.1186/s13244-022-01220-9

Making Radiomics More Reproducible across Scanner and Imaging Protocol Variations: A Review of Harmonization Methods

Autori: Shruti Atul Mali; Abdalla Ibrahim; Henry C. Woodruff; Vincent Andrearczyk; Henning Müller; Sergey Primakov; Zohaib Salahuddin; Avishek Chatterjee; Philippe Lambin
Pubblicato in: Journal of Personalized Medicine, Vol 11, Iss 842, p 842 (2021), Numero 21, 2021, ISSN 2075-4426
Editore: MDPI Multidisciplinary Digital Publishing Institute
DOI: 10.3390/jpm11090842

Accelerated 3D whole-brain T1, T2, and proton density mapping: feasibility for clinical glioma MR imaging

Autori: Carolin M. Pirkl, Laura Nunez-Gonzalez, Florian Kofler, Sebastian Endt, Lioba Grundl, Mohammad Golbabaee, Pedro A. Gómez, Matteo Cencini, Guido Buonincontri, Rolf F. Schulte, Marion Smits, Benedikt Wiestler, Bjoern H. Menze, Marion I. Menzel & Juan A. Hernandez-Tamames
Pubblicato in: Diagnostic Neuroradiology, 2021, ISSN 0028-3940
Editore: Springer Verlag
DOI: 10.1007/s00234-021-02703-0

A federated cloud architecture for processing of cancer images on a distributed storage

Autori: J. Damián Segrelles Quilis, Sergio López-Huguet, Pau Lozano, Ignacio Blanquer
Pubblicato in: Future generations computer systems: FGCS, 2022, ISSN 0167-739X
Editore: Elsevier BV
DOI: 10.1016/j.future.2022.09.019

AI-based medical e-diagnosis for fast and automatic ventricular volume measurement in patients with normal pressure hydrocephalus

Autori: Xi Zhou, Qinghao Ye, Xiaolin Yang, Jiakun Chen, Haiqin Ma, Jun Xia, Javier Del Ser & Guang Yang
Pubblicato in: Neural Computing and Applications, 2022, ISSN 0941-0643
Editore: Springer Verlag
DOI: 10.1007/s00521-022-07048-0

Unsupervised Tissue Segmentation via Deep Constrained Gaussian Network

Autori: Yang Nan; Peng Tang; Guyue Zhang; Caihong Zeng; Zhihong Liu; Zhifan Gao; Heye Zhang; Guang Yang
Pubblicato in: IEEE Transactions on Medical Imaging, 2022, ISSN 0278-0062
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tmi.2022.3195123

Reproducibility of CT-Based Hepatocellular Carcinoma Radiomic Features across Different Contrast Imaging Phases: A Proof of Concept on SORAMIC Trial Data

Autori: Abdalla Ibrahim; Yousif Widaatalla; Turkey Refaee; Sergey Primakov; Razvan L. Miclea; Osman Öcal; Matthias P. Fabritius; Michael Ingrisch; Jens Ricke; Roland Hustinx; Felix M. Mottaghy; Henry C. Woodruff; Max Seidensticker; Philippe Lambin
Pubblicato in: Cancers, 2021, ISSN 2072-6694
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers13184638

Deep learning based identification of bone scintigraphies containing metastatic bone disease foci

Autori: Abdalla Ibrahim; Akshayaa Vaidyanathan; Sergey Primakov; Flore Belmans; Fabio Bottari; Turkey Refaee; Pierre Lovinfosse; Alexandre Jadoul; Celine Derwael; Fabian Hertel; Henry C. Woodruff; Helle D. Zacho; Sean Walsh; Wim Vos; Mariaelena Occhipinti; François-Xavier Hanin; Philippe Lambin; Felix M. Mottaghy; Roland Hustinx
Pubblicato in: Cancer imaging : the official publication of the International Cancer Imaging Society., 2023, ISSN 1470-7330
Editore: Springer Nature
DOI: 10.1186/s40644-023-00524-3

Textured-Based Deep Learning in Prostate Cancer Classification with 3T Multiparametric MRI: Comparison with PI-RADS-Based Classification

Autori: Liu, Y.; Zheng, H.; Liang, Z.; Miao, Q.; Brisbane, W.G.; Marks, L.S.; Raman, S.S.; Reiter, R.E.; Yang, G.; Sung, K.
Pubblicato in: Diagnostics, 2021, ISSN 2075-4418
Editore: MDPI
DOI: 10.3390/diagnostics11101785

Machine learning for grading and prognosis of esophageal dysplasia using mass spectrometry and histological imaging

Autori: Manon Beuque, Marta Martin-Lorenzo, Benjamin Balluff, Henry C. Woodruff, Marit Lucas, Daniel M. de Bruin, Janita E. van Timmeren, Onno J.de Boer, Ron MA. Heeren, Sybren L. Meijer, Philippe Lambin
Pubblicato in: Computers in Biology and Medicine, 2021, ISSN 0010-4825
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.compbiomed.2021.104918

Differences in technical and clinical perspectives on AI validation in cancer imaging: mind the gap!

Autori: Ioanna Chouvarda, Sara Colantonio, Ana S. C. 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
Pubblicato in: European Radiology Experimental, Numero 9, 2025, Pagina/e 7, ISSN 2509-9280
Editore: Springer Science and Business Media LLC
DOI: 10.1186/s41747-024-00543-0

Bridging gaps between images and data: a systematic update on imaging biobanks

Autori: Michela Gabelloni, Lorenzo Faggioni, Rita Borgheresi, Giuliana Restante, Jorge Shortrede, Lorenzo Tumminello, Camilla Scapicchio, Francesca Coppola, Dania Cioni, Ignacio Gómez-Rico, Luis Martí-Bonmatí, Emanuele Neri
Pubblicato in: European Radiology, Numero 32, 2022, Pagina/e 3173-3186, ISSN 1432-1084
Editore: Springer Science and Business Media LLC
DOI: 10.1007/s00330-021-08431-6

Analyzing the TotalSegmentator for facial feature removal in head CT scans

Autori: M. Lindholz, R. Ruppel, S. Schulze-Weddige, G.L. Baumgärtner, I. Schobert, A. Panten, R. Schmidt, T.A. Auer, J. Nawabi, A.-M. Haack, L. Stepansky, L. Poggi, R. Hosch, C.A. Hamm, T. Penzkofer
Pubblicato in: Radiography, Numero 31, 2025, Pagina/e 372-378, ISSN 1078-8174
Editore: W. B. Saunders Co., Ltd.
DOI: 10.1016/j.radi.2024.12.018

A fully automatic artificial intelligence–based CT image analysis system for accurate detection, diagnosis, and quantitative severity evaluation of pulmonary tuberculosis

Autori: Chenggong Yan, Lingfeng Wang, Jie Lin, Jun Xu, Tianjing Zhang, Jin Qi, Xiangying Li, Wei Ni, Guangyao Wu, Jianbin Huang, Yikai Xu, Henry C. Woodruff & Philippe Lambin
Pubblicato in: European Radiology, 2021, ISSN 0938-7994
Editore: Springer Verlag
DOI: 10.1007/s00330-021-08365-z

Explainable COVID-19 Infections Identification and Delineation Using Calibrated Pseudo Labels

Autori: Ming Li; Yingying Fang; Zeyu Tang; Chibudom Onuorah; Jun Xia; Javier Del Ser; Simon Walsh; Guang Yang
Pubblicato in: IEEE Transactions on Emerging Topics in Computational Intelligence, 2022, ISSN 2471-285X
Editore: Institute of Electrical and Electronic Engineers
DOI: 10.1109/tetci.2022.3189054

Fuzzy Attention Neural Network to Tackle Discontinuity in Airway Segmentation

Autori: Yang Nan, Javier Del Ser, Zeyu Tang, Peng Tang, Xiaodan Xing, Yingying Fang, Francisco Herrera, Witold Pedrycz, Simon Walsh, Guang Yang
Pubblicato in: IEEE transactions on neural networks and learning systems, 2023, ISSN 2162-237X
Editore: IEEE Computational Intelligence Society
DOI: 10.1109/tnnls.2023.3269223

CHAIMELEON Project: Creation of a Pan-European Repository of Health Imaging Data for the Development of AI-Powered Cancer Management Tools

Autori: Luis Martí Bonmatí, Ana Miguel, Amelia Suárez, Mario Aznar, Jean Paul Beregi, Laure Fournier, Emanuele Neri, Andrea Laghi, Manuela França, Francesco Sardanelli, Tobias Penzkofer, Phillipe Lambin, Ignacio Blanquer, Marion I. Menzel, Karine Seymour, Sergio Figueiras, Katharina Krischak, Ricard Martínez, Yisroel Mirsky, Guang Yang, and Ángel Alberich-Bayarri
Pubblicato in: Frontiers in Oncology, 2022, ISSN 2234-943X
Editore: Frontiers Media S. A.
DOI: 10.3389/fonc.2022.742701

A Machine Learning Ensemble Based on Radiomics to Predict BI-RADS Category and Reduce the Biopsy Rate of Ultrasound-Detected Suspicious Breast Masses

Autori: Matteo Interlenghi, Christian Salvatore,Veronica Magni,Gabriele Caldara ,Elia Schiavon,Andrea Cozzi,Simone Schiaffino,Luca Alessandro Carbonaro,Isabella Castiglioni, Francesco Sardanelli
Pubblicato in: Diagnostics, 2022, ISSN 2075-4418
Editore: MDPI
DOI: 10.3390/diagnostics12010187

Data Harmonisation for Information Fusion in Digital Healthcare: A State-of-the-Art Systematic Review, Meta-Analysis and Future Research Directions

Autori: Nan, Y; Ser, JD; Walsh, S; Schönlieb, C; Roberts, Michael; Selby, I; Howard, K; Owen, J; Neville, J; Guiot, J; Ernst, B; Pastor, A; Alberich-Bayarri, A; Menzel, MI; Walsh, S; Vos, W; Flerin, N; Charbonnier, JP; van Rikxoort, E; Chatterjee, A; Woodruff, H; Lambin, P; Cerdá-Alberich, L; Martí-Bonmatí, L; Herrera, F; Yang, G
Pubblicato in: Information Fusion, 2022, ISSN 1566-2535
Editore: Elsevier BV
DOI: 10.1016/j.inffus.2022.01.001

Machine learning-based combined nomogram for predicting the risk of pulmonary invasive fungal infection in severely immunocompromised patients

Autori: Chenggong Yan, Peng Hao, Guangyao Wu, Jie Lin, Jun Xu, Tianjing Zhang, Xiangying Li, Haixia Li, Sibin Wang, Yikai Xu, Henry C. Woodruff, Philippe Lambin
Pubblicato in: Annals of Translational Medicine, Numero 10, 2022, Pagina/e 514-514, ISSN 2305-5839
Editore: AME Publishing Company
DOI: 10.21037/atm-21-4980

3D PBV-Net: An automated prostate MRI data segmentation method

Autori: Yao Jin, Guang Yang, Ying Fang, Ruipeng Li, Xiaomei Xu, Yongkai Liu, Xiaobo Lai
Pubblicato in: Computers in Biology and Medicine, Numero 128, 2020, Pagina/e 104160, ISSN 0010-4825
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.compbiomed.2020.104160

FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare

Autori: Karim Lekadir, Alejandro F Frangi, Antonio R Porras, Ben Glocker, Celia Cintas, Curtis P Langlotz, Eva Weicken, Folkert W Asselbergs, Fred Prior, Gary S Collins, Georgios Kaissis, Gianna Tsakou, Irène Buvat, Jayashree Kalpathy-Cramer, John Mongan, Julia A Schnabel, Kaisar Kushibar, Katrine Riklund, Kostas Marias, Lameck M Amugongo, Lauren A Fromont, Lena Maier-Hein, Leonor Cerdá-Alberich, Luis M
Pubblicato in: BMJ, 2025, Pagina/e e081554, ISSN 1756-1833
Editore: BMJ
DOI: 10.1136/bmj-2024-081554

CT Reconstruction Kernels and the Effect of Pre- and Post-Processing on the Reproducibility of Handcrafted Radiomic Features

Autori: Turkey Refaee, Zohaib Salahuddin, Yousif Widaatalla, Sergey Primakov, Henry C. Woodruff, Roland Hustinx, Felix M. Mottaghy, Abdalla Ibrahim, Philippe Lambin
Pubblicato in: Journal of Personalized Medicine, Numero 12, 2025, Pagina/e 553, ISSN 2075-4426
Editore: MDPI AG
DOI: 10.3390/jpm12040553

A Comparative Study of Radiomics and Deep-Learning Based Methods for Pulmonary Nodule Malignancy Prediction in Low Dose CT Images

Autori: Astaraki Mehdi, Yang Guang, Zakko Yousuf, Toma-Dasu Iuliana, Smedby Örjan, Wang Chunliang
Pubblicato in: Frontiers in Oncology, 2021, ISSN 2234-943X
Editore: Frontiers Media S. A.
DOI: 10.3389/fonc.2021.737368

HDL: Hybrid Deep Learning for the Synthesis of Myocardial Velocity Maps in Digital Twins for Cardiac Analysis

Autori: Xiaodan Xing; Javier Del Ser; Yinzhe Wu; Yang Li; Jun Xia; Xu Lei; David Firmin; Peter Gatehouse; Guang Yang
Pubblicato in: IEEE journal of biomedical and health informatics, 2022, ISSN 2168-2194
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/jbhi.2022.3158897

Automatic fine-grained glomerular lesion recognition in kidney pathology

Autori: Yang Nan, Fengyi Li, Peng Tang, Guyue Zhang, Caihong Zeng, Guotong Xie, Zhihong Liu, Guang Yang,
Pubblicato in: Pattern Recognition, 2022, ISSN 0031-3203
Editore: Pergamon Press
DOI: 10.1016/j.patcog.2022.108648

Documenting the de-identification process of clinical and imaging data for AI for health imaging projects

Autori: Haridimos Kondylakis, Rocio Catalan, Sara Martinez Alabart, Caroline Barelle, Paschalis Bizopoulos, Maciej Bobowicz, Jonathan Bona, Dimitrios I. Fotiadis, Teresa Garcia, Ignacio Gomez, Ana Jimenez-Pastor, Giannis Karatzanis, Karim Lekadir, Magdalena Kogut-Czarkowska, Antonios Lalas, Kostas Marias, Luis Marti-Bonmati, Jose Munuera, Katerina Nikiforaki, Manon Pelissier, Fred Prior, Michael Rutherfor
Pubblicato in: Insights into Imaging, Numero 15, 2024, ISSN 1869-4101
Editore: Springer Science and Business Media Deutschland GmbH
DOI: 10.1186/s13244-024-01711-x

A Deep Multi-Task Learning Framework for Brain Tumor Segmentation

Autori: Huang He, Yang Guang, Zhang Wenbo, Xu Xiaomei, Yang Weiji, Jiang Weiwei, Lai Xiaobo
Pubblicato in: Frontiers in Oncology, 2021, ISSN 2234-943X
Editore: Frontiers Media S. A.
DOI: 10.3389/fonc.2021.690244

Discussion Paper: The Integrity of Medical AI

Autori: Yisroel Mirsky
Pubblicato in: WDC '22: Proceedings of the 1st Workshop on Security Implications of Deepfakes and Cheapfake, 2022, ISBN 978-1-4503-9178-8
Editore: Association for Computing Machinery
DOI: 10.1145/3494109.3527191

Residual learning for 3D motion corrected quantitative MRI:Robust clinical T1, T2 and proton density mapping

Autori: Carolin M. Pirkl Matteo Cencini Jan W. Kurzawski5 Diana Waldman Hongwei Li Anjany Sekuboyina Sebastian Endt Luca Peretti Graziella Donatelli Rosa Pasquariello Mauro Costagli3, Guido Buonincontri Michela Tosetti Marion I. Menzel Bjoern H. Menzel
Pubblicato in: Proceedings of Machine Learning Research, Numero 6, 2021, Pagina/e 618-632, ISSN 2640-3498
Editore: JMLR-JOURNAL MACHINE LEARNING RESEARCH

A Plug-and-Play Approach to Multiparametric Quantitative MRI: Image Reconstruction using Pre-Trained Deep Denoisers

Autori: Ketan Fatania, Carolin M. Pirkl, Marion I. Menzel, Peter Hall, Mohammad Golbabaee
Pubblicato in: 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 2022, ISBN 978-1-6654-2923-8
Editore: IEEE
DOI: 10.1109/isbi52829.2022.9761603

Estimaciones de Causalidad con Imagen Médica en Oncología

Autori: Luis Martí-Bonmatí
Pubblicato in: Anales RANM, 2021, ISSN 0034-0634
Editore: Real Academia de Medicina de España
DOI: 10.32440/ar.2021.138.01.rev02

Quantitative Parameter Mapping of Prostate using Stack-of-Stars and QTI Encoding

Autori: Rolf F Schulte, Carolin M Pirkl, Pablo Garcia-Polo, Matteo Cencini, Michela Tosetti, Luis Marti-Bonmati, and Marion I Menzel
Pubblicato in: Proceedings of the Joint Annual Meeting ISMRM-ESMRMB 2022, 2022, ISSN 1524-6965
Editore: Society of Magnetic Resonance
DOI: 10.58530/2022/0182

A deep look into radiomics

Autori: Scapicchio Camilla; Gabelloni Michela; Barucci Andrea; Cioni Dania; Saba Luca; Neri Emanuele
Pubblicato in: La radiologia medica, Numero 15, 2021, ISSN 1826-6983
Editore: Springer
DOI: 10.1007/s11547-021-01389-x

Transparency of deep neural networks for medical image analysis: A review of interpretability methods

Autori: Zohaib Salahuddina, Henry C.Woodruff, Avishek Chatterjee, PhilippeLambin
Pubblicato in: Computers in Biology and Medicine, 2022, ISSN 0010-4825
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.compbiomed.2021.105111

Diritti di proprietà intellettuale

COMPUTER IMPLEMENTED METHOD AND COMPUTER PROGRAMS FOR HARMONIZATION OF MAGNETIC RESONANCE IMAGES

Numero candidatura/pubblicazione: 20 24075043
Data: 2024-09-06
Candidato/i: QUIBIM SOCIEDAD LIMITADA

COMPUTER IMPLEMENTED METHOD AND COMPUTER PROGRAMS FOR HARMONIZATION OF MAGNETIC RESONANCE IMAGES

Numero candidatura/pubblicazione: 20 24075043
Data: 2024-09-06
Candidato/i: QUIBIM SOCIEDAD LIMITADA

È in corso la ricerca di dati su OpenAIRE...

Risultati finali

Pubblicazioni

Diritti di proprietà intellettuale

Scarica Scarica il contenuto della pagina