المؤلفون: Sjoerd G Elias, Elsken van der Wall, Paul J van Diest, Britt B M Suelmann, Liselore M Janssen, Markus H A Janse, Kenneth G A Gilhuijs

المصدر: BMJ Open, Vol 12, Iss 9 (2022)

مصطلحات موضوعية: Medicine

وصف الملف: electronic resource

Relation: https://bmjopen.bmj.com/content/12/9/e061334.full; https://doaj.org/toc/2044-6055

URL الوصول: https://doaj.org/article/d3b79cf318fd4f66b13e2359b7116937

المؤلفون: Geke Litjens, Joris P. E. A. Broekmans, Tim Boers, Marco Caballo, Maud H. F. van den Hurk, Dilek Ozdemir, Caroline J. van Schaik, Markus H. A. Janse, Erwin J. M. van Geenen, Cees J. H. M. van Laarhoven, Mathias Prokop, Peter H. N. de With, Fons van der Sommen, John J. Hermans

المصدر: Diagnostics, Vol 13, Iss 20, p 3198 (2023)

مصطلحات موضوعية: pancreas, adenocarcinoma, computed tomography, radiomics, resectability, oncology, Medicine (General), R5-920

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2075-4418/13/20/3198; https://doaj.org/toc/2075-4418

URL الوصول: https://doaj.org/article/613dd6d9f9df4eaaad2aa88fc6f162ce

المؤلفون: Avan Suinesiaputra, Charlène A. Mauger, Bharath Ambale-Venkatesh, David A. Bluemke, Josefine Dam Gade, Kathleen Gilbert, Markus H. A. Janse, Line Sofie Hald, Conrad Werkhoven, Colin O. Wu, Joao A. C. Lima, Alistair A. Young

المصدر: Frontiers in Cardiovascular Medicine, Vol 8 (2022)

مصطلحات موضوعية: cardiac anatomy, machine learning, left ventricle, MRI, deep learning, Diseases of the circulatory (Cardiovascular) system, RC666-701

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fcvm.2021.807728/full; https://doaj.org/toc/2297-055X

URL الوصول: https://doaj.org/article/cef62ee8450f4a568faa947387f9e59c

المؤلفون: Markus H. A. Janse, Liselore M. Janssen, Bas H. M. van der Velden, Maaike R. Moman, Elian J. M. Wolters‐van der Ben, Marc C. J. M. Kock, Max A. Viergever, Paul J. van Diest, Kenneth G. A. Gilhuijs

المصدر: Journal of Magnetic Resonance Imaging
Journal of Magnetic Resonance Imaging (2023)

مصطلحات موضوعية: locally advanced breast cancer, response monitoring, segmentation, deep learning, Radiology, Nuclear Medicine and imaging, breast MRI

وصف الملف: application/octet-stream; text/html

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b4d34ad55714f10f694babbf379c38a
https://doi.org/10.1002/jmri.28679

المؤلفون: Avan Suinesiaputra, Charlène A. Mauger, Bharath Ambale-Venkatesh, David A. Bluemke, Josefine Dam Gade, Kathleen Gilbert, Markus H. A. Janse, Line Sofie Hald, Conrad Werkhoven, Colin O. Wu, Joao A. C. Lima, Alistair A. Young

المصدر: Suinesiaputra, A, Mauger, C A, Ambale-Venkatesh, B, Bluemke, D A, Dam Gade, J, Gilbert, K, Janse, M H A, Hald, L S, Werkhoven, C, Wu, C O, Lima, J A C & Young, A A 2022, ' Deep Learning Analysis of Cardiac MRI in Legacy Datasets : Multi-Ethnic Study of Atherosclerosis ', Frontiers in Cardiovascular Medicine, vol. 8, 807728 . https://doi.org/10.3389/fcvm.2021.807728
Frontiers in Cardiovascular Medicine
Frontiers in Cardiovascular Medicine, Vol 8 (2022)

مصطلحات موضوعية: FOS: Computer and information sciences, cardiac anatomy, Computer Science - Machine Learning, left ventricle, Image and Video Processing (eess.IV), deep learning, FOS: Physical sciences, Cardiovascular Medicine, Electrical Engineering and Systems Science - Image and Video Processing, Physics - Medical Physics, Machine Learning (cs.LG), machine learning, Deep Learning, RC666-701, FOS: Electrical engineering, electronic engineering, information engineering, Diseases of the circulatory (Cardiovascular) system, Medical Physics (physics.med-ph), Cardiology and Cardiovascular Medicine, Original Research, MRI

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dec453bc3a2ce7076d6153ffeddfff00
https://vbn.aau.dk/ws/files/462583886/Suinesiaputra_et_al_2022_Frontiers_in_Cardiovascular_Medicine.pdf

المؤلفون: Liselore M Janssen, Britt B M Suelmann, Sjoerd G Elias, Markus H A Janse, Paul J van Diest, Elsken van der Wall, Kenneth G A Gilhuijs

المصدر: BMJ Open. 12:e061334

مصطلحات موضوعية: Observational Studies as Topic, Treatment Outcome, Liquid Biopsy, Humans, Multicenter Studies as Topic, Breast Neoplasms, Female, Prospective Studies, General Medicine, Multiparametric Magnetic Resonance Imaging, Magnetic Resonance Imaging, Neoadjuvant Therapy

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::763daace59fdb49d09a80da852c60777
https://doi.org/10.1136/bmjopen-2022-061334

المؤلفون: Liselore Maria Janssen, Wouter B. Veldhuis, Paul J. van Diest, Markus H. A. Janse, Britt B.M. Suelmann, Kenneth G. A. Gilhuijs, Sjoerd G. Elias, Elsken van der Wall

المصدر: Cancer Research. 80:OT1-03

مصطلحات موضوعية: Oncology, Cancer Research, medicine.medical_specialty, business.industry, Cancer, medicine.disease, Inflammatory breast cancer, Breast cancer, Circulating tumor cell, Internal medicine, medicine, Clinical endpoint, media_common.cataloged_instance, Pertuzumab, Stage (cooking), European union, business, media_common, medicine.drug

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::324e1e78100dd48ffef090c065a280ee
https://doi.org/10.1158/1538-7445.sabcs19-ot1-03-02

المؤلفون: Claudette E. Loo, Markus H. A. Janse, Max A.A. Ragusi, Bas H. M. van der Velden, Kenneth G. A. Gilhuijs

المصدر: Scientific Reports
Scientific Reports, 10(1)
Scientific Reports, Vol 10, Iss 1, Pp 1-9 (2020)
Scientific Reports 10 (2020) 1

مصطلحات موضوعية: Adult, lcsh:Medicine, Breast Neoplasms, Convolutional neural network, Article, 030218 nuclear medicine & medical imaging, Correlation, 03 medical and health sciences, 0302 clinical medicine, Breast cancer, Deep Learning, Statistics, medicine, Image Processing, Computer-Assisted, Life Science, Humans, Neoplasm Invasiveness, Prospective Studies, lcsh:Science, Mathematics, Aged, Breast Density, Aged, 80 and over, Ground truth, Multidisciplinary, Artificial neural network, business.industry, Deep learning, lcsh:R, Carcinoma, Ductal, Breast, Middle Aged, medicine.disease, Prognosis, Magnetic Resonance Imaging, Regression, Carcinoma, Lobular, Risk factors, 030220 oncology & carcinogenesis, Test set, lcsh:Q, Female, Artificial intelligence, Neural Networks, Computer, business, Biomarkers, Algorithms, Follow-Up Studies

وصف الملف: application/octet-stream; text/html

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e031b3265a2e98eed8aea559849eecb
http://europepmc.org/articles/PMC7581772

المؤلفون: Max A.A. Ragusi, Claudette E. Loo, Markus H. A. Janse, Bas H. M. van der Velden, Kenneth G. A. Gilhuijs

المصدر: Medical Imaging 2020
Medical Imaging 2020. SPIE

مصطلحات موضوعية: FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, shapley additive explanations, computer.software_genre, Convolutional neural network, 03 medical and health sciences, 0302 clinical medicine, Breast cancer, Voxel, FOS: Electrical engineering, electronic engineering, information engineering, medicine, Breast MRI, Segmentation, interpretable deep learning, skin and connective tissue diseases, breast density, mri, Mathematics, Ground truth, cnn regression, medicine.diagnostic_test, business.industry, Deep learning, Image and Video Processing (eess.IV), Pattern recognition, Electrical Engineering and Systems Science - Image and Video Processing, medicine.disease, Regression, 030220 oncology & carcinogenesis, Artificial intelligence, business, computer, deep shap, 030217 neurology & neurosurgery

وصف الملف: text/html; application/octet-stream

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa9651278586df8e0c1a861fe01cbd6b
https://research.wur.nl/en/publications/interpretable-deep-learning-regression-for-breast-density-estimat