| Fully automatic detection and segmentation of abdominal aortic thrombus in post-operative CTA images using Deep Convolutional Neural Networks K López-Linares, N Aranjuelo, L Kabongo, G Maclair, N Lete, M Ceresa, ... Medical image analysis 46, 202-214, 2018 | 132 | 2018 |
| Deep Learning in Healthcare YW Chen, LC Jain Springer, 2020 | 83 | 2020 |
| Breast Pectoral Muscle Segmentation in Mammograms using a Modified Holistically-nested Edge Detection Network A Rampun, K López-Linares, PJ Morrow, BW Scotney, H Wang, IG Ocaña, ... Medical Image Analysis, 2019 | 78 | 2019 |
| Characterization of path loss and absorption for a wireless radio frequency link between an in-body endoscopy capsule and a receiver outside the body KLL Roman, G Vermeeren, A Thielens, W Joseph, L Martens EURASIP Journal on Wireless Communications and Networking 2014 (1), 21, 2014 | 53 | 2014 |
| Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis MJ Cardoso, T Arbel, SL Lee, V Cheplygina, S Balocco, D Mateus, ... CVII-STENT and Second International Workshop, LABELS, 2017 | 23 | 2017 |
| Medical Image Segmentation Using Deep Learning KLL Román, MIG Ocaña, NL Urzelai, MÁG Ballester, IM Oliver Deep Learning in Healthcare, 17-31, 2020 | 22 | 2020 |
| 3D convolutional neural network for abdominal aortic aneurysm segmentation K López-Linares, I García, A García-Familiar, I Macía, MAG Ballester arXiv preprint arXiv:1903.00879, 2019 | 22 | 2019 |
| 3D Pulmonary Artery Segmentation from CTA Scans Using Deep Learning with Realistic Data Augmentation KLL Román, I de La Bruere, J Onieva, L Andresen, JQ Holsting, ... Image Analysis for Moving Organ, Breast, and Thoracic Images, 225-237, 2018 | 17 | 2018 |
| DCNN-Based Automatic Segmentation and Quantification of Aortic Thrombus Volume: Influence of the Training Approach K López-Linares, L Kabongo, N Lete, G Maclair, M Ceresa, ... Intravascular Imaging and Computer Assisted Stenting, and Large-Scale …, 2017 | 11 | 2017 |
| Image-based 3D characterization of abdominal aortic aneurysm deformation after endovascular aneurysm repair K López-Linares, I García, A García, C Cortes, G Piella, I Macía, J Noailly, ... Frontiers in bioengineering and biotechnology 7, 2019 | 10 | 2019 |
| Murine femur micro-computed tomography and biomechanical datasets for an ovariectomy-induced osteoporosis model M Stephens, K López-Linares, J Aldazabal, I Macias, N Ortuzar, ... Scientific Data 8 (1), 1-7, 2021 | 9 | 2021 |
| MRI to CTA Translation for Pulmonary Artery Evaluation Using CycleGANs Trained with Unpaired Data M Stephens, RSJ Estepar, J Ruiz-Cabello, I Arganda-Carreras, I Macía, ... International Workshop on Thoracic Image Analysis, 118-129, 2020 | 5 | 2020 |
| Medical Image Detection Using Deep Learning MIG Ocaña, KLL Román, NL Urzelai, MÁG Ballester, IM Oliver Deep Learning in Healthcare, 3-16, 2020 | 4 | 2020 |
| Automated anatomical labeling of a topologically variant abdominal arterial system via probabilistic hypergraph matching Y Liu, X Wang, Z Wu, K López-Linares, I Macía, X Ru, H Zhao, ... Medical Image Analysis 75, 102249, 2022 | 3 | 2022 |
| Unsupervised domain adaptation for the segmentation of breast tissue in mammography images F Ryan, KLL Román, BZ Gerbolés, KM Rebescher, MS Txurio, RC Ugarte, ... Computer Methods and Programs in Biomedicine 211, 106368, 2021 | 3 | 2021 |
| Comparison of regularization techniques for DCNN-based abdominal aortic aneurysm segmentation K López-Linares, N Lete, L Kabongo, M Ceresa, G Maclair, ... 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 3 | 2018 |
| Analysis of Potential Biases on Mammography Datasets for Deep Learning Model Development B Zufiria, K López-Linares, MJ García, KM Rebescher, I Lalaguna, ... International Workshop on Applications of Medical AI, 59-67, 2022 | 2 | 2022 |
| Prediction of Failure of Induction of Labor from Ultrasound Images Using Radiomic Features MIG Ocaña, KLL Román, JB San Cristóbal, A del Campo Real, IM Oliver Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image …, 2019 | 2 | 2019 |
| Unsupervised Data Drift Detection Using Convolutional Autoencoders: A Breast Cancer Imaging Scenario J Bóbeda, MJ García-González, LV Pérez-Herrera, K López-Linares International KES Conference on Innovation in Medicine and Healthcare, 345-354, 2023 | 1 | 2023 |
| MIGHTY: a comprehensive platform for the development of medical image-guided holographic therapy A Iribar-Zabala, R Benito, G Sánchez-Merino, CA Cortes, ... Computer Methods in Biomechanics and Biomedical Engineering: Imaging …, 2022 | 1 | 2022 |
