Follow
Albert Gubern-Mérida
Albert Gubern-Mérida
ScreenPoint Medical
Verified email at screenpointmed.com
Title
Cited by
Cited by
Year
Large scale deep learning for computer aided detection of mammographic lesions
T Kooi, G Litjens, B Van Ginneken, A Gubern-Mérida, CI Sánchez, ...
Medical image analysis 35, 303-312, 2017
7782017
Stand-alone artificial intelligence for breast cancer detection in mammography: comparison with 101 radiologists
A Rodriguez-Ruiz, K Lĺng, A Gubern-Merida, M Broeders, G Gennaro, ...
JNCI: Journal of the National Cancer Institute 111 (9), 916-922, 2019
2592019
Using deep learning to segment breast and fibroglandular tissue in MRI volumes
MU Dalmış, G Litjens, K Holland, A Setio, R Mann, N Karssemeijer, ...
Medical physics 44 (2), 533-546, 2017
1622017
Volumetric breast density estimation from full-field digital mammograms: a validation study
A Gubern-Merida, M Kallenberg, B Platel, RM Mann, R Marti, ...
PloS one 9 (1), e85952, 2014
1302014
Automated localization of breast cancer in DCE-MRI
A Gubern-Mérida, R Martí, J Melendez, JL Hauth, RM Mann, ...
Medical image analysis 20 (1), 265-274, 2015
1202015
Breast segmentation and density estimation in breast MRI: A fully automatic framework
A Gubern-Mérida, M Kallenberg, RM Mann, R Martí, N Karssemeijer
IEEE Journal of Biomedical and Health Informatics, 2014
1202014
Can we reduce the workload of mammographic screening by automatic identification of normal exams with artificial intelligence? A feasibility study
A Rodriguez-Ruiz, K Lĺng, A Gubern-Merida, J Teuwen, M Broeders, ...
European radiology 29 (9), 4825-4832, 2019
1082019
Automatic microcalcification detection in multi-vendor mammography using convolutional neural networks
JJ Mordang, T Janssen, A Bria, T Kooi, A Gubern-Mérida, N Karssemeijer
International workshop on breast imaging, 35-42, 2016
752016
Time to enhancement derived from ultrafast breast MRI as a novel parameter to discriminate benign from malignant breast lesions
RD Mus, C Borelli, P Bult, E Weiland, N Karssemeijer, JO Barentsz, ...
European journal of radiology 89, 90-96, 2017
642017
Artificial intelligence–based classification of breast lesions imaged with a multiparametric breast MRI protocol with ultrafast DCE-MRI, T2, and DWI
MU Dalmis, A Gubern-Mérida, S Vreemann, P Bult, N Karssemeijer, ...
Investigative radiology 54 (6), 325-332, 2019
612019
Multireader study on the diagnostic accuracy of ultrafast breast magnetic resonance imaging for breast cancer screening
JCM van Zelst, S Vreemann, HJ Witt, A Gubern-Merida, MD Dorrius, ...
Investigative radiology 53 (10), 579-586, 2018
542018
Fully automated detection of breast cancer in screening MRI using convolutional neural networks
MU Dalmış, S Vreemann, T Kooi, RM Mann, N Karssemeijer, ...
Journal of Medical Imaging 5 (1), 014502, 2018
442018
Segmentation of the pectoral muscle in breast MRI using atlas-based approaches
A Gubern-Mérida, M Kallenberg, R Martí, N Karssemeijer
International conference on medical image computing and computer-assisted …, 2012
442012
A comparison between a deep convolutional neural network and radiologists for classifying regions of interest in mammography
T Kooi, A Gubern-Merida, JJ Mordang, R Mann, R Pijnappel, K Schuur, ...
International Workshop on Breast Imaging, 51-56, 2016
422016
Influence of risk category and screening round on the performance of an MR imaging and mammography screening program in carriers of the BRCA mutation and other women at …
S Vreemann, A Gubern-Mérida, MS Schlooz-Vries, P Bult, CH Van Gils, ...
Radiology 286 (2), 443-451, 2018
402018
Automated lesion detection and segmentation in digital mammography using a u-net deep learning network
T De Moor, A Rodriguez-Ruiz, AG Mérida, R Mann, J Teuwen
14th International Workshop on Breast Imaging (IWBI 2018) 10718, 23-29, 2018
362018
The added value of mammography in different age-groups of women with and without BRCA mutation screened with breast MRI
S Vreemann, J van Zelst, M Schlooz-Vries, P Bult, N Hoogerbrugge, ...
Breast Cancer Research 20 (1), 1-12, 2018
352018
Computer‐aided detection of breast cancers using Haar‐like features in automated 3D breast ultrasound
T Tan, JJ Mordang, J van Zelst, A Grivegnée, A Gubern‐Mérida, ...
Medical physics 42 (4), 1498-1504, 2015
352015
A computer‐aided diagnosis system for breast DCE‐MRI at high spatiotemporal resolution
MU Dalmış, A Gubern‐Mérida, S Vreemann, N Karssemeijer, R Mann, ...
Medical physics 43 (1), 84-94, 2016
332016
One-view digital breast tomosynthesis as a stand-alone modality for breast cancer detection: do we need more?
A Rodriguez-Ruiz, A Gubern-Merida, M Imhof-Tas, S Lardenoije, ...
European radiology 28 (5), 1938-1948, 2018
272018
The system can't perform the operation now. Try again later.
Articles 1–20