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Carmen Serrano
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2020 – today
- 2024
- [i3]Miguel Nogales, Begoña Acha, Fernando Alarcón, José Pereyra, Carmen Serrano:
Robust Melanoma Thickness Prediction via Deep Transfer Learning enhanced by XAI Techniques. CoRR abs/2406.13441 (2024) - [i2]Francisca Silva-Clavería, Carmen Serrano, Iván Matas, Amalia Serrano, Tomás Toledo-Pastrana, David Moreno-Ramírez, Begoña Acha:
Concordance in basal cell carcinoma diagnosis. Building a proper ground truth to train Artificial Intelligence tools. CoRR abs/2406.18240 (2024) - [i1]Iván Matas, Carmen Serrano, Francisca Silva, Amalia Serrano, Tomás Toledo-Pastrana, Begoña Acha:
AI-Driven Skin Cancer Diagnosis: Grad-CAM and Expert Annotations for Enhanced Interpretability. CoRR abs/2407.00104 (2024) - 2022
- [j21]Carmen Serrano
, Manuel Lazo, Amalia Serrano, Tomás Toledo-Pastrana
Clinically Inspired Skin Lesion Classification through the Detection of Dermoscopic Criteria for Basal Cell Carcinoma. J. Imaging 8(7): 197 (2022) - 2020
- [c33]José Antonio Pérez-Carrasco, Begoña Acha, Carmen Serrano:
Multi-label segmentation of bone, muscle, and fat in CT volumes via convex relaxation. Medical Imaging: Image Processing 2020: 1131331
2010 – 2019
- 2019
- [j20]Aurora Sáez
Statistical Detection of Colors in Dermoscopic Images With a Texton-Based Estimation of Probabilities. IEEE J. Biomed. Health Informatics 23(2): 560-569 (2019) - 2018
- [j19]José Antonio Pérez-Carrasco
Joint segmentation of bones and muscles using an intensity and histogram-based energy minimization approach. Comput. Methods Programs Biomed. 156: 85-95 (2018) - 2017
- [j18]Cristina Suárez-Mejías
Validation of a method for retroperitoneal tumor segmentation. Int. J. Comput. Assist. Radiol. Surg. 12(12): 2055-2067 (2017) - [j17]Cristina Suarez-Mejias
Three-dimensional segmentation of retroperitoneal masses using continuous convex relaxation and accumulated gradient distance for radiotherapy planning. Medical Biol. Eng. Comput. 55(1): 1-15 (2017) - [c32]Amaya Jiménez, Carmen Serrano
Automatic Detection of Globules, Streaks and Pigment Network Based on Texture and Color Analysis in Dermoscopic Images. ICIAR 2017: 486-493 - [c31]José Antonio Pérez-Carrasco, Begoña Acha
Segmentation of Bone Structures by Removal of Skin and using a Convex Relaxation Technique. ICPRAM 2017: 549-556 - 2015
- [j16]José Antonio Pérez-Carrasco
3D surgical planning in patients affected by lipodystrophy. Comput. Medical Imaging Graph. 40: 128-137 (2015) - [c30]Francisco Núñez-Benjumea
Automatic Landmarks Detection in Breast Reconstruction Aesthetic Assessment. MIE 2015: 399-403 - [c29]José Antonio Pérez-Carrasco
Segmentation of bone structures in 3D CT images based on continuous max-flow optimization. Medical Imaging: Image Processing 2015: 94133Y - 2014
- [j15]Aurora Sáez
Normalized Cut optimization based on color perception findings. A comparative study. Mach. Vis. Appl. 25(7): 1813-1823 (2014) - [j14]Aurora Sáez
Model-Based Classification Methods of Global Patterns in Dermoscopic Images. IEEE Trans. Medical Imaging 33(5): 1137-1147 (2014) - [c28]José Antonio Pérez-Carrasco
Reflectance-Based Segmentation Using Photometric and Illumination Invariants. ICIAR (1) 2014: 179-186 - [c27]José Antonio Pérez-Carrasco
Statistical-Based Segmentation of Bone Structures via Continuous Max-Flow Optimization. ICIAR (2) 2014: 201-208 - 2013
- [j13]Aurora Sáez
Development and evaluation of perceptually adapted colour gradients. IET Image Process. 7(4): 355-363 (2013) - [j12]José Antonio Pérez-Carrasco
Mapping from Frame-Driven to Frame-Free Event-Driven Vision Systems by Low-Rate Rate Coding and Coincidence Processing-Application to Feedforward ConvNets. IEEE Trans. Pattern Anal. Mach. Intell. 35(11): 2706-2719 (2013) - [j11]Qaisar Abbas
Pattern classification of dermoscopy images: A perceptually uniform model. Pattern Recognit. 46(1): 86-97 (2013) - [j10]Carlos S. Mendoza, José Antonio Pérez-Carrasco
Linearized Multidimensional Earth-Mover's-Distance Gradient Flows. IEEE Trans. Image Process. 22(12): 5322-5335 (2013) - [j9]Begoña Acha
Burn Depth Analysis Using Multidimensional Scaling Applied to Psychophysical Experiment Data. IEEE Trans. Medical Imaging 32(6): 1111-1120 (2013) - 2012
- [j8]Carlos S. Mendoza, Begoña Acha
Fast parameter-free region growing segmentation with application to surgical planning. Mach. Vis. Appl. 23(1): 165-177 (2012) - [c26]Aurora Sáez, Begoña Acha, Carmen Serrano:
CIELAB based system for burn depth estimation. CGIV 2012: 86-91 - [c25]Aurora Sáez, Irene Fondón, Begoña Acha, Soledad Jiménez, Pedro Alemany, Qaisar Abbas, Carmen Serrano:
Optic Disc segmentation based on level-set and colour gradients. CGIV 2012: 121-125 - [c24]Irene Fondón, Francisco Núñez
Automatic Cup-to-Disc Ratio Estimation Using Active Contours and Color Clustering in Fundus Images for Glaucoma Diagnosis. ICIAR (2) 2012: 390-399 - [c23]Aurora Sáez
Segmentation of Muscle Fibres in Fluorescence Microscopy Images. ICIAR (2) 2012: 465-472 - [c22]Carlos S. Mendoza, George R. Washko, James C. Ross, Alejandro A. Díaz, David A. Lynch, James D. Crapo, Edward K. Silverman, Begoña Acha
Emphysema quantification in a multi-scanner HRCT cohort using local intensity distributions. ISBI 2012: 474-477 - 2011
- [c21]Carlos S. Mendoza, Germán Bohórquez-Ruiz, Begoña Acha
Multi-dimensional earth mover's distance active contours. ICIP 2011: 3173-3176 - 2010
- [j7]José Antonio Pérez-Carrasco
Fast vision through frameless event-based sensing and convolutional processing: application to texture recognition. IEEE Trans. Neural Networks 21(4): 609-620 (2010) - [c20]Aurora Sáez, Carmen Serrano, Begoña Acha:
Evaluation Perceptual Color Edge Detection Algorithms. CGIV/MCS 2010: 222-227 - [c19]Irene Fondón, Carmen Serrano, Begoña Acha:
Perceptually Adapted Color-Texture Image Segmentation Algorithm based on K-dimensional Multi-Step Region Growing. CGIV/MCS 2010: 267-274 - [c18]José Antonio Pérez-Carrasco
Spike-Based Convolutional Network for Real-Time Processing. ICPR 2010: 3085-3088 - [c17]Aurora Sáez
Segmentation and classification of dermatological lesions. Medical Imaging: Computer-Aided Diagnosis 2010: 76243L
2000 – 2009
- 2009
- [j6]Cristina Suárez-Mejías
VirSSPA- A virtual reality tool for surgical planning workflow. Int. J. Comput. Assist. Radiol. Surg. 4(2): 133-139 (2009) - [j5]Tomás Gómez-Cía, Purificación Gacto-Sánchez, D. Sicilia, Cristina Suárez-Mejías, Begoña Acha
The virtual reality tool VirSSPA in planning DIEP microsurgical breast reconstruction. Int. J. Comput. Assist. Radiol. Surg. 4(4): 375-382 (2009) - [j4]Begoña Acha
Detection of microcalcifications in mammograms using error of prediction and statistical measures. J. Electronic Imaging 18(1): 013011 (2009) - [j3]Carmen Serrano
Pattern analysis of dermoscopic images based on Markov random fields. Pattern Recognit. 42(6): 1052-1057 (2009) - [c16]José Antonio Pérez-Carrasco
Advanced Vision Processing Systems: Spike-Based Simulation and Processing. ACIVS 2009: 640-651 - [c15]Carlos S. Mendoza, Begoña Acha
Self-assessed Contrast-Maximizing Adaptive Region Growing. ACIVS 2009: 652-663 - [c14]Carlos S. Mendoza, Carmen Serrano
Pattern Analysis of Dermoscopic Images Based on FSCM Color Markov Random Fields. ACIVS 2009: 676-685 - [c13]Carlos S. Mendoza, Carmen Serrano
Scale invariant descriptors in pattern analysis of melanocytic lesions. ICIP 2009: 4193-4196 - 2008
- [j2]Rafael Serrano-Gotarredona, Teresa Serrano-Gotarredona, Antonio Acosta-Jimenez
On Real-Time AER 2-D Convolutions Hardware for Neuromorphic Spike-Based Cortical Processing. IEEE Trans. Neural Networks 19(7): 1196-1219 (2008) - [c12]José Antonio Pérez-Carrasco
Event based vision sensing and processing. ICIP 2008: 1392-1395 - [c11]José Antonio Pérez-Carrasco
High-speed character recognition system based on a complex hierarchical AER architecture. ISCAS 2008: 2150-2153 - 2007
- [c10]Irene Fondón, Carmen Serrano, Begoña Acha:
Segmentation of Skin Cancer Images Based on Multistep Region Growing. MVA 2007: 339-342 - [c9]Irene Fondón, Carmen Serrano, Begoña Acha:
Color and texture based segmentation algorithm for multicolor textured images. VISAPP (1) 2007: 258-263 - 2006
- [c8]Irene Fondón, Begoña Acha, Carmen Serrano, Manuel Sosa:
New Characteristics for the Classification of Burns: Experimental Study. ICIAR (2) 2006: 502-512 - 2004
- [c7]Begoña Acha
Classification of burn wounds using support vector machines. Medical Imaging: Image Processing 2004 - [c6]Carmen Serrano
2D adaptive filtering and region growing algorithm for the detection of microaneurysms in retinal angiograms. Medical Imaging: Image Processing 2004 - 2003
- [c5]Begoña Acha, Carmen Serrano:
Automatic detection of microaneurysms in retinal angiograms. CARS 2003: 1328 - [c4]Begoña Acha, Carmen Serrano, José I. Acha, Laura M. Roa:
CAD Tool for Burn Diagnosis. IPMI 2003: 294-305 - [c3]Carmen Serrano
Segmentation of burn images based on color and texture information. Medical Imaging: Image Processing 2003 - 2002
- [c2]Begoña Acha-Piñero
Segmentation of burn images using the L*u*v* space and classification of their depths by color and texture imformation. Medical Imaging: Image Processing 2002 - 2001
- [j1]Carmen Serrano
Segmentation-based lossless compression of burn wound images. J. Electronic Imaging 10(3): 720-726 (2001)
1990 – 1999
- 1999
- [c1]Carmen Serrano
Segmentation-Based Lossless Compression for Color Images. ICIAP 1999: 90-94
Coauthor Index
aka: Begoña Acha-Piñero
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last updated on 2024-10-07 21:19 CEST by the dblp team
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