| Deep learning techniques for automatic MRI cardiac multi-structures segmentation and diagnosis: is the problem solved? O Bernard, A Lalande, C Zotti, F Cervenansky, X Yang, PA Heng, I Cetin, ... IEEE Transactions on Medical Imaging 37 (11), 2514-2525, 2018 | 2004 | 2018 |
| Estimation of the partial volume effect in MRI MÁ González Ballester, AP Zisserman, M Brady Medical Image Analysis 6 (4), 389-405, 2002 | 285 | 2002 |
| A 2D/3D correspondence building method for reconstruction of a patient-specific 3D bone surface model using point distribution models and calibrated X-ray images G Zheng, S Gollmer, S Schumann, X Dong, T Feilkas, ... Medical image analysis 13 (6), 883-899, 2009 | 213 | 2009 |
| Statistical deformable bone models for robust 3D surface extrapolation from sparse data KT Rajamani, MA Styner, H Talib, G Zheng, LP Nolte, ... Medical Image Analysis 11 (2), 99-109, 2007 | 169 | 2007 |
| 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 | 138 | 2018 |
| Evaluation of state-of-the-art segmentation algorithms for left ventricle infarct from late Gadolinium enhancement MR images R Karim, P Bhagirath, P Claus, RJ Housden, Z Chen, Z Karimaghaloo, ... Medical Image Analysis 30, 95-107, 2016 | 131 | 2016 |
| Balanced-MixUp for highly imbalanced medical image classification A Galdran, G Carneiro, MÁ González Ballester Lecture Notes in Computer Science (Medical Image Computing and Computer …, 2021 | 128 | 2021 |
| Optimisation of orthopaedic implant design using statistical shape space analysis based on level sets N Kozic, S Weber, P Büchler, C Lutz, N Reimers, MÁ González Ballester, ... Medical image analysis 14 (3), 265-275, 2010 | 106 | 2010 |
| Model-based respiratory motion compensation for emission tomography image reconstruction M Reyes, G Malandain, PM Koulibaly, MÁ González Ballester, J Darcourt Physics in Medicine and Biology 52 (12), 3579-3600, 2007 | 104 | 2007 |
| Memory-aware curriculum federated learning for breast cancer classification A Jiménez-Sánchez, M Tardy, MÁ González Ballester, D Mateus, G Piella Computer Methods and Programs in Biomedicine 229 (107318), 1-10, 2023 | 102 | 2023 |
| Integration of convolutional neural networks for pulmonary nodule malignancy assessment in a lung cancer classification pipeline I Bonavita, X Rafael-Palou, M Ceresa, G Piella, V Ribas, ... Computer Methods and Programs in Biomedicine 185 (105172), 1-9, 2020 | 99 | 2020 |
| Segmentation and classification in fetal imaging: recent trends and future prospects J Torrents-Barrena, G Piella, N Masoller, M Ceresa, E Gratacós, E Eixarch, ... Medical Image Analysis 51, 61-88, 2019 | 97 | 2019 |
| Reconstruction of patient-specific 3D bone surface from 2D calibrated fluoroscopic images and point distribution model G Zheng, MÁ González Ballester, M Styner, LP Nolte Lecture Notes in Computer Science (Medical Image Computing and Computer …, 2006 | 92 | 2006 |
| 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, ... Medical Image Analysis 57, 1-17, 2019 | 89 | 2019 |
| Computational anatomy for multi-organ analysis in medical imaging: a review JJ Cerrolaza, M López Picazo, L Humbert, Y Sato, D Rueckert, ... Medical Image Analysis 56, 44-67, 2019 | 87 | 2019 |
| Automated bone contour detection in ultrasound B-mode images for minimally invasive registration in computer-assisted surgery — an in vitro evaluation J Kowal, C Amstutz, F Langlotz, H Talib, MÁ González Ballester International Journal of Medical Robotics and Computer Assisted Surgery 3 (4 …, 2007 | 83 | 2007 |
| Machine learning for clinical decision-making: challenges and opportunities in cardiovascular imaging S Sánchez-Martínez, O Camara, G Piella, M Cikes, ... Frontiers in Cardiovascular Medicine 8 (765693), 1-11, 2022 | 81* | 2022 |
| Improved EM-based tissue segmentation and partial volume effect quantification in multi-sequence brain MRI G Dugas-Phocion, MÁ González Ballester, G Malandain, C Lebrun, ... Lecture Notes in Computer Science (Medical Image Computing and Computer …, 2004 | 73 | 2004 |
| Segmentation and measurement of brain structures in MRI including confidence bounds MÁ González Ballester, A Zisserman, M Brady Medical Image Analysis 4 (3), 189-200, 2000 | 71 | 2000 |
| Hierarchical segmentation of multiple sclerosis lesions in multi-sequence MRI G Dugas-Phocion, MÁ González Ballester, C Lebrun, S Chanalet, ... IEEE International Symposium on Biomedical Imaging: Nano to Macro, Arlington …, 2004 | 70 | 2004 |
Gemma PiellaDepartment of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelonaupf.edu의 이메일 확인됨
