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

Risultati finali

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

Pubblicazioni

Structural and functional radiomics for lung cancer.

Autori: Guangyao Wu; Guangyao Wu; Arthur Jochems; Abdalla Ibrahim; Chenggong Yan; Chenggong Yan; Sebastian Sanduleanu; Henry C. Woodruff; Philippe Lambin
Pubblicato in: European Journal of Nuclear Medicine and Molecular Imaging, 2021, ISSN 1619-7089
Editore: 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

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

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

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

Autori: Yutong Chen; Carola-Bibiane Schonlieb; Pietro Lio; Tim Leiner; Pier Luigi Dragotti; Ge Wang; Daniel Rueckert; David Firmin; Guang Yang
Pubblicato in: Proceedings of the IEEE, 2022, ISSN 0018-9219
Editore: 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

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

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

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

Adversarial Transformer for Repairing Human Airway Segmentation

Autori: Zeyu Tang; Yang Nan; Simon Walsh; Guang Yang
Pubblicato in: IEEE journal of biomedical and health informatics., 2023, ISSN 2168-2194
Editore: 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

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

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

Autori: Weiwei Zhang; Zhen Zhou; Zhifan Gao; Guang Yang; Lei Xu; Weiwen Wu; Heye Zhang
Pubblicato in: IEEE journal of biomedical and health informatics, 2023, ISSN 2168-2194
Editore: 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

Autori: Hao Li; Yang Nan; Javier Del Ser; Guang Yang
Pubblicato in: Neural computing and applications, 2022, ISSN 0941-0643
Editore: Springer Verlag
DOI: 10.1007/s00521-022-08016-4

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

Autori: Astrid Van Camp; Katrien Houbrechts; Lesley Cockmartin; Henry C Woodruff; Philippe Lambin; Nicholas W Marshall; Hilde Bosmans
Pubblicato in: Progress in Biomedical Engineering, 2023, ISSN 2516-1091
Editore: 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

Autori: Zhu, Jin; Yang, Guang; Lio, Pietro
Pubblicato in: Medical image analysis, 2023, ISSN 1361-8423
Editore: 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.

Autori: Yvonka van Wijk; Bram Ramaekers; Ben G. L. Vanneste; Iva Halilaj; Cary Oberije; Avishek Chatterjee; Tom Marcelissen; Arthur Jochems; Henry C. Woodruff; Philippe Lambin
Pubblicato in: Cancers, 2021, ISSN 2072-6694
Editore: 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

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

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

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

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

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

Autori: Leonor Cerdá-Alberich; Jimena Solana; Pedro Mallol; Gloria Ribas; Miguel García-Junco; Angel Alberich-Bayarri; Luis Marti-Bonmati
Pubblicato in: Insights into imaging, 2023, ISSN 1869-4101
Editore: 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

Autori: Sheng Kuang; Henry C. Woodruff; Renee Granzier; Thiemo J.A. van Nijnatten; Marc B.I. Lobbes; Marjolein L. Smidt; Philippe Lambin; Siamak Mehrkanoon
Pubblicato in: Neural Natworks, 2023, ISSN 0893-6080
Editore: 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

Autori: Jingyu Zhu; Jianming Ye; Leshui Dong; Xiaofei Ma; Na Tang; Peng Xu; Wei Jin; Ruipeng Li; Guang Yang; Xiaobo Lai
Pubblicato in: International journal of imaging systems and technology., 2023, ISSN 0899-9457
Editore: 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

Autori: Guang Yang; Qinghao Ye; Jun Xia
Pubblicato in: An International Journal on Information Fusion, Numero 11, 2022, ISSN 1566-2535
Editore: 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

Autori: 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.
Pubblicato in: Cancers, 2021, ISSN 2072-6694
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers13081848

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

Autori: Luo, Weixun; Xing, Xiaodan; Yang, Guang
Pubblicato in: ArXiv.org e-Print archive, 2023, ISSN 2331-8422
Editore: 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

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

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

Autori: 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
Pubblicato in: Frontiers in Cardiovascular Medicine, 2021, ISSN 2297-055X
Editore: 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.

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

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

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

Autori: 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
Pubblicato in: Frontiers in Aging Neuroscience, 2020, ISSN 1663-4365
Editore: 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

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

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

Autori: 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
Pubblicato in: Frontiers in Oncology, 2022, ISSN 2234-943X
Editore: 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

Autori: Yang Li; Yue Zhang; Jing-Yu Liu; Kang Wang; Kai Zhang; Gen-Sheng Zhang; Xiao-Feng Liao; Guang Yang
Pubblicato in: IEEE transactions on cybernetics, 2023, ISSN 2168-2267
Editore: 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.

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

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

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

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

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

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

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

Autori: Zhu, Jin; Tan, Chuan; Yang, Junwei; Yang, Guang; Lio', Pietro
Pubblicato in: International journal of neural systems., 2021, ISSN 0129-0657
Editore: World Scientific Publishing Co
DOI: 10.1142/s0129065721500374

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

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

Autori: Abdalla Ibrahim; Ralph T.H. Leijenaar; Sergey Primakov; Sergey Primakov; Roland Hustinx; Felix M. Mottaghy; Felix M. Mottaghy; Henry C. Woodruff; Henry C. Woodruff; Andrew D. A. Maidment; Philippe Lambin; Philippe Lambin
Pubblicato in: Plos One, Numero 19, 2021, ISSN 1932-6203
Editore: Public Library of Science
DOI: 10.1371/journal.pone.0251147

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

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

Autori: Yinzhe Wu; Yinzhe Wu; Suzan Hatipoglu; Diego Alonso-Álvarez; Peter D. Gatehouse; Binghuan Li; Yikai Gao; David N. Firmin; Jennifer Keegan; Guang Yang
Pubblicato in: Diagnostics, 2021, ISSN 2075-4418
Editore: MDPI AG
DOI: 10.3390/diagnostics11020346

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

Autori: Jun Chen; Guang Yang; Habib Khan; Heye Zhang; Yanping Zhang; Shu Zhao; Raad H. Mohiaddin; Tom Wong; David N. Firmin; Jennifer Keegan
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.2021.3077469

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

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

Autori: Jun Lv; Chengyan Wang; Guang Yang
Pubblicato in: Diagnostics, 2021, ISSN 2075-4418
Editore: MDPI
DOI: 10.3390/diagnostics11010061

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

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

Autori: Xiaodan Xing; Yang Nan; Federico Felder; Simon Walsh; Guang Yang
Pubblicato in: 2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS), 2023, ISSN 2372-9198
Editore: IEEE Computer Society Press
DOI: 10.1109/cbms58004.2023.00273

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

Autori: Yan C, Lin J, Li H, Xu J, Zhang T, Chen H, Woodruff HC, Wu G, Zhang S, Xu Y, Lambin P.
Pubblicato in: Korean Journal of Radiology, 2021, ISSN 1229-6929
Editore: Korean Radiological Society
DOI: 10.3348/kjr.2020.0988

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

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

Autori: Fuxing Deng; Zhiyuan Liu; Wei Fang; Lishui Niu; Xianjing Chu; Quan Cheng; Zijian Zhang; Rongrong Zhou; Guang Yang
Pubblicato in: Physical and engineering sciences in medicine., 2023, ISSN 2662-4737
Editore: Springer
DOI: 10.1007/s13246-023-01300-0

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

Uncertainty quantification for sparse Fourier recovery

Autori: Hoppe, Frederik; Krahmer, Felix; Verdun, Claudio Mayrink; Menzel, Marion I.; Rauhut, Holger
Pubblicato in: ArXiv.org e-Print archive, 2023, ISSN 2331-8422
Editore: Cornell University
DOI: 10.48550/arxiv.2212.14864

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

Autori: Lv, Jun; Li, Guangyuan; Tong, Xiangrong; Chen, Weibo; Huang, Jiahao; Wang, Chengyan; Yang, Guang
Pubblicato in: Computers in Biology and Medicine, 2021, ISSN 0010-4825
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.compbiomed.2021.104504

Hierarchical Perception Adversarial Learning Framework for Compressed Sensing MRI

Autori: Zhifan Gao; Yifeng Guo; Jiajing Zhang; Tieyong Zeng; Guang Yang
Pubblicato in: IEEE transactions on medical imaging., 2023, ISSN 0278-0062
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tmi.2023.3240862

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

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

Autori: Kuang, Mengmeng; Wu, Yinzhe; Alonso-Álvarez, Diego; Firmin, David; Keegan, Jennifer; Gatehouse, Peter; Yang, Guang
Pubblicato in: Functional Imaging and Modeling of the Heart: 11th International Conference on Functional Imaging and Modeling of the Heart 2021, Numero Lecture notes in computer science, 2021, ISBN 978-3-030-78709-7
Editore: Springer, Cham

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: 2021
Editore: JMLR, Inc. and Microtome Publishing

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
Editore: Electrical Engineering and Systems Science > Image and Video Processing

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

Autori: Xing, Xiaodan; Huang, Jiahao; Nan, Yang; Wu, Yinzhe; Wang, Chengjia; Gao, Zhifan; Walsh, Simon; Yang, Guang
Pubblicato in: Medical Image Computing and Computer Assisted Intervention – MICCAI 2022, 2022, ISBN 978-3-031-16451-4
Editore: Springer, Cham
DOI: 10.1007/978-3-031-16452-1_1

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

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

Autori: Julien Guiot; Akshayaa Vaidyanathan; Louis Deprez; Fadila Zerka; Denis Danthine; Anne-Noëlle Frix; Philippe Lambin; Fabio Bottari; Nathan Tsoutzidis; Benjamin Miraglio; Sean Walsh; Wim Vos; Roland Hustinx; Marta Ferreira; Pierre Lovinfosse; Ralph T.H. Leijenaar
Pubblicato in: Medicinal Research Reviews, 2021, ISSN 0198-6325
Editore: John Wiley & Sons Inc.
DOI: 10.1002/med.21846

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

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

Autori: Mingfeng Jiang; Minghao Zhi; Liying Wei; Xiaocheng Yang; Jucheng Zhang; Yongming Li; Pin Wang; Jiahao Huang; Guang Yang
Pubblicato in: Computerized Medical Imaging and Graphics, 2021
Editore: Science Direct
DOI: 10.1016/j.compmedimag.2021.101969

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