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

CORDIS oferuje możliwość skorzystania z odnośników do publicznie dostępnych publikacji i rezultatów projektów realizowanych w ramach programów ramowych HORYZONT.

Odnośniki do rezultatów i publikacji związanych z poszczególnymi projektami 7PR, a także odnośniki do niektórych konkretnych kategorii wyników, takich jak zbiory danych i oprogramowanie, są dynamicznie pobierane z systemu OpenAIRE .

Rezultaty

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

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

Dissemination toolkit

Website dissemination toolkit 1

Readiness to call the Open Challenges

Publikacje

Structural and functional radiomics for lung cancer.

Autorzy: Guangyao Wu; Guangyao Wu; Arthur Jochems; Abdalla Ibrahim; Chenggong Yan; Chenggong Yan; Sebastian Sanduleanu; Henry C. Woodruff; Philippe Lambin
Opublikowane w: European Journal of Nuclear Medicine and Molecular Imaging, 2021, ISSN 1619-7089
Wydawca: Springer
DOI: 10.1007/s00259-021-05242-1

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

Autorzy: 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
Opublikowane w: Radiotherapy & Oncology, 2020, ISSN 0167-8140
Wydawca: Elsevier BV
DOI: 10.1016/j.radonc.2020.10.016

Large-Kernel Attention for 3D Medical Image Segmentation

Autorzy: Hao Li; Yang Nan; Javier Del Ser; Guang Yang
Opublikowane w: Cognitive Computation, 2023, ISSN 1866-9956
Wydawca: Springer Verlag
DOI: 10.1007/s12559-023-10126-7

Prostate MRI: what to consider when shopping for AI tools

Autorzy: Tobias Penzkofer
Opublikowane w: European Radiology, Numer 34, 2024, Strona(/y) 7690-7692, ISSN 1432-1084
Wydawca: Springer Science and Business Media LLC
DOI: 10.1007/s00330-024-10867-5

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

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

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

Autorzy: 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.
Opublikowane w: Cancers, 2021, ISSN 2072-6694
Wydawca: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers13040722

Swin transformer for fast MRI

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

AI-Based Reconstruction for Fast MRI—A Systematic Review and Meta-Analysis

Autorzy: Yutong Chen; Carola-Bibiane Schonlieb; Pietro Lio; Tim Leiner; Pier Luigi Dragotti; Ge Wang; Daniel Rueckert; David Firmin; Guang Yang
Opublikowane w: Proceedings of the IEEE, 2022, ISSN 0018-9219
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/jproc.2022.3141367

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

Autorzy: 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
Opublikowane w: cancers, 2021, ISSN 2072-6694
Wydawca: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers13102447

Adaptive Hierarchical Dual Consistency for Semi-Supervised Left Atrium Segmentation on Cross-Domain Data

Autorzy: Chen, Jun; Zhang, Heye; Mohiaddin, Raad; Wong, Tom; Firmin, David; Keegan, Jennifer; Yang, Guang
Opublikowane w: IEEE transactions on medical imaging., 2021, ISSN 0278-0062
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.48550/arxiv.2109.08311

Adversarial Transformer for Repairing Human Airway Segmentation

Autorzy: Zeyu Tang; Yang Nan; Simon Walsh; Guang Yang
Opublikowane w: IEEE journal of biomedical and health informatics., 2023, ISSN 2168-2194
Wydawca: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/jbhi.2023.3290136

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

Autorzy: 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
Opublikowane w: Nature communications, 2022, ISSN 2041-1723
Wydawca: Nature Publishing Group
DOI: 10.1038/s41467-022-30841-3

Multiple Adversarial Learning Based Angiography Reconstruction for Ultra-Low-Dose Contrast Medium CT

Autorzy: Weiwei Zhang; Zhen Zhou; Zhifan Gao; Guang Yang; Lei Xu; Weiwen Wu; Heye Zhang
Opublikowane w: IEEE journal of biomedical and health informatics, 2023, ISSN 2168-2194
Wydawca: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/jbhi.2022.3213595

Region-based evidential deep learning to quantify uncertainty and improve robustness of brain tumor segmentation

Autorzy: Hao Li; Yang Nan; Javier Del Ser; Guang Yang
Opublikowane w: Neural computing and applications, 2022, ISSN 0941-0643
Wydawca: Springer Verlag
DOI: 10.1007/s00521-022-08016-4

The creation of breast lesion models for mammographic virtual clinical trials: a topical review

Autorzy: Astrid Van Camp; Katrien Houbrechts; Lesley Cockmartin; Henry C Woodruff; Philippe Lambin; Nicholas W Marshall; Hilde Bosmans
Opublikowane w: Progress in Biomedical Engineering, 2023, ISSN 2516-1091
Wydawca: IOP Publishing
DOI: 10.1088/2516-1091/acc4fc

A residual dense vision transformer for medical image super-resolution with segmentation-based perceptual loss fine-tuning

Autorzy: Zhu, Jin; Yang, Guang; Lio, Pietro
Opublikowane w: Medical image analysis, 2023, ISSN 1361-8423
Wydawca: Oxford University Press
DOI: 10.48550/arxiv.2302.11184

Modeling-Based Decision Support System for Radical Prostatectomy Versus External Beam Radiotherapy for Prostate Cancer Incorporating an In Silico Clinical Trial and a Cost-Utility Study.

Autorzy: Yvonka van Wijk; Bram Ramaekers; Ben G. L. Vanneste; Iva Halilaj; Cary Oberije; Avishek Chatterjee; Tom Marcelissen; Arthur Jochems; Henry C. Woodruff; Philippe Lambin
Opublikowane w: Cancers, 2021, ISSN 2072-6694
Wydawca: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers13112687

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

Autorzy: Roberto Casale, , Elizaveta Lavrova , Sebastian Sanduleanu , Henry C. Woodruff, Philippe Lambin
Opublikowane w: European Journal of Radiology, 2021, ISSN 0720-048X
Wydawca: 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

Autorzy: 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
Opublikowane w: Nature Cancer, Numer 2, 2022, Strona(/y) 709-722, ISSN 2662-1347
Wydawca: 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

Autorzy: 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
Opublikowane w: European Journal of Radiology, Numer 183, 2025, Strona(/y) 111897, ISSN 0720-048X
Wydawca: 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

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

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

Autorzy: 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,
Opublikowane w: Medical Image Analysis, 2022, ISSN 1361-8415
Wydawca: Elsevier BV
DOI: 10.1016/j.media.2022.102387

3D AGSE-VNet: an automatic brain tumor MRI data segmentation framework

Autorzy: Xi Guan; Guang Yang; Jianming Ye; Weiji Yang; Xiaomei Xu; Weiwei Jiang; Xiaobo Lai
Opublikowane w: BMC Medical Imaging, 2022, ISSN 1471-2342
Wydawca: BioMed Central
DOI: 10.1186/s12880-021-00728-8

MAIC–10 brief quality checklist for publications using artificial intelligence and medical images

Autorzy: Leonor Cerdá-Alberich; Jimena Solana; Pedro Mallol; Gloria Ribas; Miguel García-Junco; Angel Alberich-Bayarri; Luis Marti-Bonmati
Opublikowane w: Insights into imaging, 2023, ISSN 1869-4101
Wydawca: Springer Science and Business Media Deutschland GmbH
DOI: 10.1186/s13244-022-01355-9

MSCDA: Multi-level semantic-guided contrast improves unsupervised domain adaptation for breast MRI segmentation in small datasets

Autorzy: Sheng Kuang; Henry C. Woodruff; Renee Granzier; Thiemo J.A. van Nijnatten; Marc B.I. Lobbes; Marjolein L. Smidt; Philippe Lambin; Siamak Mehrkanoon
Opublikowane w: Neural Natworks, 2023, ISSN 0893-6080
Wydawca: Pergamon Press Ltd.
DOI: 10.1016/j.neunet.2023.05.014

<scp>Non‐invasive</scp> prediction of overall survival time for glioblastoma multiforme patients based on multimodal <scp>MRI</scp> radiomics

Autorzy: Jingyu Zhu; Jianming Ye; Leshui Dong; Xiaofei Ma; Na Tang; Peng Xu; Wei Jin; Ruipeng Li; Guang Yang; Xiaobo Lai
Opublikowane w: International journal of imaging systems and technology., 2023, ISSN 0899-9457
Wydawca: John Wiley & Sons Inc.
DOI: 10.1002/ima.22869

Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond

Autorzy: Guang Yang; Qinghao Ye; Jun Xia
Opublikowane w: An International Journal on Information Fusion, Numer 11, 2022, ISSN 1566-2535
Wydawca: Elsevier BV
DOI: 10.1016/j.inffus.2021.07.016

The Effects of In-Plane Spatial Resolution on CT-Based Radiomic Features’ Stability with and without ComBat Harmonization

Autorzy: Ibrahim, A.; Refaee, T.; Primakov, S.; Barufaldi, B.; Acciavatti, R.J.; Granzier, R.W.Y.; Hustinx, R.; Mottaghy, F.M.; Woodruff, H.C.; Wildberger, J.E.; Lambin, P.; Maidment, A.D.A.
Opublikowane w: Cancers, 2021, ISSN 2072-6694
Wydawca: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers13081848

Is Autoencoder Truly Applicable for 3D CT Super-Resolution?

Autorzy: Luo, Weixun; Xing, Xiaodan; Yang, Guang
Opublikowane w: ArXiv.org e-Print archive, 2023, ISSN 2331-8422
Wydawca: Cornell University
DOI: 10.48550/arxiv.2302.10272

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

Autorzy: 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
Opublikowane w: cancers, 2021, ISSN 2072-6694
Wydawca: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers13133271

Association Between Left Ventricular Global Function Index and Outcomes in Patients With Dilated Cardiomyopathy

Autorzy: Tong Liu; Tong Liu; Tong Liu; Zhen Zhou; Kairui Bo; Yifeng Gao; Hui Wang; Rui Wang; Wei Liu; Wei Liu; Wei Liu; Sanshuai Chang; Sanshuai Chang; Sanshuai Chang; Yuanyuan Liu; Yuanyuan Liu; Yuanyuan Liu; Yuqing Sun; Yuqing Sun; Yuqing Sun; David Firmin; David Firmin; Guang Yang; Guang Yang; Jianzeng Dong; Jianzeng Dong; Jianzeng Dong; Lei Xu
Opublikowane w: Frontiers in Cardiovascular Medicine, 2021, ISSN 2297-055X
Wydawca: Frontiers Media S.A.
DOI: 10.3389/fcvm.2021.751907

Recent Advances in Fibrosis and Scar Segmentation From Cardiac MRI: A State-of-the-Art Review and Future Perspectives.

Autorzy: Yinzhe Wu; Yinzhe Wu; Zeyu Tang; Zeyu Tang; Binghuan Li; David N. Firmin; Guang Yang
Opublikowane w: Frontiers in Phisiology, 2021, ISSN 1664-042X
Wydawca: Frontiers Research Foundation
DOI: 10.3389/fphys.2021.709230

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

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

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

Autorzy: Xiaodan Xing; Giorgos Papanastasiou; Simon Walsh; Guang Yang
Opublikowane w: IEEE Transactions on Medical Imaging, 2023, ISSN 0278-0062
Wydawca: 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

Autorzy: 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
Opublikowane w: European radiology experimental, 2023, ISSN 2509-9280
Wydawca: SpringerOpen
DOI: 10.1186/s41747-023-00336-x

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

Autorzy: 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
Opublikowane w: Insights into Imaging, 2022, ISSN 1869-4101
Wydawca: 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

Autorzy: Shruti Atul Mali; Abdalla Ibrahim; Henry C. Woodruff; Vincent Andrearczyk; Henning Müller; Sergey Primakov; Zohaib Salahuddin; Avishek Chatterjee; Philippe Lambin
Opublikowane w: Journal of Personalized Medicine, Vol 11, Iss 842, p 842 (2021), Numer 21, 2021, ISSN 2075-4426
Wydawca: 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

Autorzy: 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
Opublikowane w: Diagnostic Neuroradiology, 2021, ISSN 0028-3940
Wydawca: Springer Verlag
DOI: 10.1007/s00234-021-02703-0

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

Autorzy: J. Damián Segrelles Quilis, Sergio López-Huguet, Pau Lozano, Ignacio Blanquer
Opublikowane w: Future generations computer systems: FGCS, 2022, ISSN 0167-739X
Wydawca: 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

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

Unsupervised Tissue Segmentation via Deep Constrained Gaussian Network

Autorzy: Yang Nan; Peng Tang; Guyue Zhang; Caihong Zeng; Zhihong Liu; Zhifan Gao; Heye Zhang; Guang Yang
Opublikowane w: IEEE Transactions on Medical Imaging, 2022, ISSN 0278-0062
Wydawca: 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

Autorzy: 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
Opublikowane w: Cancers, 2021, ISSN 2072-6694
Wydawca: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers13184638

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

Autorzy: 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
Opublikowane w: Cancer imaging : the official publication of the International Cancer Imaging Society., 2023, ISSN 1470-7330
Wydawca: Springer Nature
DOI: 10.1186/s40644-023-00524-3

Systematic and Comprehensive Automated Ventricle Segmentation on Ventricle Images of the Elderly Patients: A Retrospective Study.

Autorzy: Xi Zhou; Qinghao Ye; Qinghao Ye; Yinghui Jiang; Yinghui Jiang; Minhao Wang; Minhao Wang; Zhangming Niu; Wade Menpes-Smith; Evandro Fei Fang; Zhi Liu; Jun Xia; Guang Yang; Guang Yang
Opublikowane w: Frontiers in Aging Neuroscience, 2020, ISSN 1663-4365
Wydawca: Frontiers Research Foundation
DOI: 10.3389/fnagi.2020.618538

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

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

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

Autorzy: 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
Opublikowane w: Computers in Biology and Medicine, 2021, ISSN 0010-4825
Wydawca: Pergamon Press Ltd.
DOI: 10.1016/j.compbiomed.2021.104918

Predicting Adverse Radiation Effects in Brain Tumors After Stereotactic Radiotherapy With Deep Learning and Handcrafted Radiomics

Autorzy: Simon A. Keek; Manon Beuque; Sergey Primakov; Henry C. Woodruff; Avishek Chatterjee; Janita E. van Timmeren; Martin Vallières; Lizza E. L. Hendriks; Johannes Kraft; Nicolaus Andratschke; Steve E. Braunstein; Olivier Morin; Philippe Lambin
Opublikowane w: Frontiers in Oncology, 2022, ISSN 2234-943X
Wydawca: Frontiers Media S. A.
DOI: 10.3389/fonc.2022.920393

Global Transformer and Dual Local Attention Network via Deep-Shallow Hierarchical Feature Fusion for Retinal Vessel Segmentation

Autorzy: Yang Li; Yue Zhang; Jing-Yu Liu; Kang Wang; Kai Zhang; Gen-Sheng Zhang; Xiao-Feng Liao; Guang Yang
Opublikowane w: IEEE transactions on cybernetics, 2023, ISSN 2168-2267
Wydawca: IEEE Advancing Technology for Humanity
DOI: 10.1109/tcyb.2022.3194099

SARA-GAN: Self-Attention and Relative Average Discriminator Based Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction.

Autorzy: Zhenmou Yuan; Mingfeng Jiang; Yaming Wang; Bo Wei; Yongming Li; Pin Wang; Wade Menpes-Smith; Zhangming Niu; Guang Yang; Guang Yang
Opublikowane w: Frontiers in Neuroinformatics, 2020, ISSN 1662-5196
Wydawca: Frontiers Research Foundation
DOI: 10.3389/fninf.2020.611666

High-Resolution Pelvic MRI Reconstruction Using a Generative Adversarial Network with Attention and Cyclic Loss

Autorzy: Li, Guangyuan; Lv, Jun; Tong, Xiangrong; Wang, Chengyan; Yang, Guang
Opublikowane w: IEEE access : practical innovations, open solutions., 2021, ISSN 2169-3536
Wydawca: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2021.3099695

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

Autorzy: 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
Opublikowane w: European Radiology Experimental, Numer 9, 2025, Strona(/y) 7, ISSN 2509-9280
Wydawca: Springer Science and Business Media LLC
DOI: 10.1186/s41747-024-00543-0

Exploratory Radiomic Analysis of Conventional vs. Quantitative Brain MRI: Toward Automatic Diagnosis of Early Multiple Sclerosis.

Autorzy: Elizaveta Lavrova; Elizaveta Lavrova; Emilie Lommers; Henry C. Woodruff; Henry C. Woodruff; Avishek Chatterjee; Pierre Maquet; Eric Salmon; Philippe Lambin; Philippe Lambin; Christophe Phillips
Opublikowane w: Frontiers in Neuroscience, 2021, ISSN 1662-453X
Wydawca: Frontiers Media S.A.
DOI: 10.3389/fnins.2021.679941

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

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Analyzing the TotalSegmentator for facial feature removal in head CT scans

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

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MIASSR: An Approach for Medical Image Arbitrary Scale Super-Resolution

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

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Fuzzy Attention Neural Network to Tackle Discontinuity in Airway Segmentation

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The application of a workflow integrating the variable reproducibility and harmonizability of radiomic features on a phantom dataset.

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

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

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

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

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Fast and Automated Segmentation for the Three-Directional Multi-Slice Cine Myocardial Velocity Mapping.

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

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

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JAS-GAN: Generative Adversarial Network Based Joint Atrium and Scar Segmentations on Unbalanced Atrial Targets

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

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PIC-GAN: A Parallel Imaging Coupled Generative Adversarial Network for Accelerated Multi-Channel MRI Reconstruction.

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

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The Beauty or the Beast: Which Aspect of Synthetic Medical Images Deserves Our Focus?

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Cycle-Consistent Generative Adversarial Network: Effect on Radiation Dose Reduction and Image Quality Improvement in Ultralow-Dose CT for Evaluation of Pulmonary Tuberculosis

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Automatic fine-grained glomerular lesion recognition in kidney pathology

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

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MRI radiomics for brain metastasis sub-pathology classification from non-small cell lung cancer: a machine learning, multicenter study

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A Deep Multi-Task Learning Framework for Brain Tumor Segmentation

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Uncertainty quantification for sparse Fourier recovery

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Transfer Learning Enhanced Generative Adversarial Networks for Multi-Channel MRI Reconstruction

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Hierarchical Perception Adversarial Learning Framework for Compressed Sensing MRI

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Discussion Paper: The Integrity of Medical AI

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Three-Dimensional Embedded Attentive RNN (3D-EAR) Segmentor for Left Ventricle Delineation from Myocardial Velocity Mapping

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

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

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

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CS$^2$: A Controllable and Simultaneous Synthesizer of Images and Annotations with Minimal Human Intervention

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Estimaciones de Causalidad con Imagen Médica en Oncología

Autorzy: Luis Martí-Bonmatí
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Quantitative Parameter Mapping of Prostate using Stack-of-Stars and QTI Encoding

Autorzy: Rolf F Schulte, Carolin M Pirkl, Pablo Garcia-Polo, Matteo Cencini, Michela Tosetti, Luis Marti-Bonmati, and Marion I Menzel
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A deep look into radiomics

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A review in radiomics: Making personalized medicine a reality via routine imaging.

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

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FA-GAN: Fused attentive generative adversarial networks for MRI image super-resolution

Autorzy: Mingfeng Jiang; Minghao Zhi; Liying Wei; Xiaocheng Yang; Jucheng Zhang; Yongming Li; Pin Wang; Jiahao Huang; Guang Yang
Opublikowane w: Computerized Medical Imaging and Graphics, 2021
Wydawca: Science Direct
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