Albert Gubern-Mérida

发表

Automatic Microcalcification Detection in Multi-vendor Mammography Using Convolutional Neural Networks

Nico Karssemeijer, Alessandro Bria, Jan-Jurre Mordang, 2016, Digital Mammography / IWDM.

Automated localization of breast cancer in DCE-MRI

Nico Karssemeijer, Robert Marti, Bram Platel, 2015, Medical Image Anal..

Fully automated detection of breast cancer in screening MRI using convolutional neural networks

Nico Karssemeijer, Thijs Kooi, Albert Gubern-Mérida, 2018, Journal of medical imaging.

A fast alignment method for breast MRI follow-up studies using automated breast segmentation and current-prior registration

Jan Rühaak, Lei Wang, Horst K. Hahn, 2015, Medical Imaging.

Using deep learning to segment breast and fibroglandular tissue in MRI volumes

Nico Karssemeijer, Geert J. S. Litjens, Albert Gubern-Mérida, 2017, Medical physics.

Breast segmentation in MRI: quantitative evaluation of three methods

Nico Karssemeijer, Robert Marti, Lei Wang, 2013, Medical Imaging.

A fully automated system for quantification of background parenchymal enhancement in breast DCE-MRI

Nico Karssemeijer, Albert Gubern-Mérida, Ritse Mann, 2016, SPIE Medical Imaging.

Segmentation of the Pectoral Muscle in Breast MRI Using Atlas-Based Approaches

Nico Karssemeijer, Robert Marti, Albert Gubern-Mérida, 2012, MICCAI.

Improving Breast Cancer Detection using Symmetry Information with Deep Learning pdf

Albert Gubern-Mérida, Jonas Teuwen, Yeman Brhane Hagos, 2018, RAMBO+BIA+TIA@MICCAI.

Pectoral muscle segmentation in breast tomosynthesis with deep learning

Nico Karssemeijer, Ioannis Sechopoulos, Albert Gubern-Mérida, 2018, Medical Imaging.

Breast Segmentation and Density Estimation in Breast MRI: A Fully Automatic Framework

Nico Karssemeijer, Robert Marti, Albert Gubern-Mérida, 2015, IEEE Journal of Biomedical and Health Informatics.

Automated lesion detection and segmentation in digital mammography using a u-net deep learning network

Albert Gubern-Mérida, Ritse Mann, Jonas Teuwen, 2018, Other Conferences.

Towards Accurate Segmentation of Fibroglandular Tissue in Breast MRI Using Fuzzy C-Means and Skin-Folds Removal

Nico Karssemeijer, Horst K. Hahn, Albert Gubern-Mérida, 2015, ICIAP.

Automated linking of suspicious findings between automated 3D breast ultrasound volumes

Nico Karssemeijer, Tao Tan, Albert Gubern-Mérida, 2016, SPIE Medical Imaging.

Large scale deep learning for computer aided detection of mammographic lesions

Nico Karssemeijer, Bram van Ginneken, Geert J. S. Litjens, 2017, Medical Image Anal..

Changes in breast density over time using automatic density measures: preliminary analysis

Eloy García, Oliver Díaz, Arnau Oliver, 2018, Other Conferences.

Ultrasound Image Analysis. Methods and Applications

Arnau Oliver, Albert Gubern-Mérida, Joan C. Vilanova, 2011 .

Automated quality assessment in three-dimensional breast ultrasound images

Arnau Oliver, Albert Gubern-Mérida, Matthias Günther, 2016, Journal of medical imaging.

Soft tissue lesion detection in mammography using deep neural networks for object detection

Albert Gubern-Mérida, Alejandro Rodriguez-Ruiz, Jonas Teuwen, 2018 .

Breast MRI and X‐ray mammography registration using gradient values

Eloy García, Xavier Lladó, Oliver Díaz, 2019, Medical Image Anal..

Segmentation of malignant lesions in 3D breast ultrasound using a depth-dependent model.

Nico Karssemeijer, Lei Wang, Tao Tan, 2016, Medical physics.

Multimodal Breast Parenchymal Patterns Correlation Using a Patient-Specific Biomechanical Model

Xavier Lladó, Arnau Oliver, Oliver Diaz, 2018, IEEE Transactions on Medical Imaging.

Multi-class Probabilistic Atlas-Based Segmentation Method in Breast MRI

Nico Karssemeijer, Robert Marti, Albert Gubern-Mérida, 2011, IbPRIA.

A deep learning method for volumetric breast density estimation from processed full field digital mammograms

Nico Karssemeijer, Albert Gubern-Mérida, Michiel Kallenberg, 2019, Medical Imaging.

Vendor-independent soft tissue lesion detection using weakly supervised and unsupervised adversarial domain adaptation

Elena Marchiori, Albert Gubern-Mérida, Ritse Mann, 2019, Medical Imaging.

Mapping 3D breast lesions from full-field digital mammograms using subject-specific finite element models

Eloy García, Robert Marti, Oliver Díaz, 2017, Medical Imaging.

A Comparison Between a Deep Convolutional Neural Network and Radiologists for Classifying Regions of Interest in Mammography

Nico Karssemeijer, Jan-Jurre Mordang, Thijs Kooi, 2016, Digital Mammography / IWDM.

Comparison of Four Breast Tissue Segmentation Algorithms for Multi-modal MRI to X-ray Mammography Registration

Eloy García, Xavier Lladó, Oliver Díaz, 2016, Digital Mammography / IWDM.

Comparison of Methods for Current-to-Prior Registration of Breast DCE-MRI

Robert Marti, Albert Gubern-Mérida, Susanne Diekmann, 2014, Digital Mammography / IWDM.

Automated detection of breast cancer in false-negative screening MRI studies from women at increased risk.

Nico Karssemeijer, Bram Platel, Albert Gubern-Mérida, 2016, European journal of radiology.

Improving computer‐aided detection assistance in breast cancer screening by removal of obviously false‐positive findings

Nico Karssemeijer, Alessandro Bria, Francesco Tortorella, 2017, Medical physics.

Computer-aided detection of breast cancers using Haar-like features in automated 3D breast ultrasound.

Nico Karssemeijer, Wei Zhang, Tao Tan, 2015, Medical physics.

Lesion Segmentation in Automated 3D Breast Ultrasound: Volumetric Analysis

Xavier Lladó, Oliver Diaz, Albert Gubern-Mérida, 2018, Ultrasonic imaging.

Volumetric Breast Density Estimation from Full-Field Digital Mammograms: A Validation Study

Nico Karssemeijer, Bram Platel, Albert Gubern-Mérida, 2014, IEEE Transactions on Medical Imaging.

Time to enhancement derived from ultrafast breast MRI as a novel parameter to discriminate benign from malignant breast lesions.

Nico Karssemeijer, Jelle O. Barentsz, Bram Platel, 2017, European journal of radiology.

Local breast density assessment using reacquired mammographic images.

Arnau Oliver, Oliver Diaz, Yago Diez, 2017, European journal of radiology.

Artificial Intelligence–Based Classification of Breast Lesions Imaged With a Multiparametric Breast MRI Protocol With Ultrafast DCE-MRI, T2, and DWI

Nico Karssemeijer, Albert Gubern-Mérida, Ritse Mann, 2019, Investigative radiology.