Cardiac Motion Analysis from Ultrasound Sequences Using Non-rigid Registration. - María J. Ledesma-Carbayo; Jan Kybic; Manuel Desco; Andrés Santos; Michael Unser (MICCAI, 2001)

Automatic detection of cellular necrosis in epithelial cell cultures. - Andrés Santos; Cristina Ramiro; Manuel Desco; Norberto Malpica; Alberto Tejedor; Ana Torres; María J. Ledesma-Carbayo; Manuela Castilla; Pedro García-Barreno (Image Processing, 2001)

Cardiac ultrasound motion detection by elastic registration exploiting temporal coherence. - María J. Ledesma-Carbayo; Jan Kybic; Michael Sühling; Patrick R. Hunziker; Manuel Desco; Andrés Santos; Michael Unser (ISBI, 2002)

Spatio-temporal nonrigid registration for ultrasound cardiac motion estimation. - María J. Ledesma-Carbayo; Jan Kybic; Manuel Desco; Andrés Santos; Michael Sühling; Patrick R. Hunziker; Michael Unser (IEEE Trans. Medical Imaging, 2005)

Molecular image registration using mutual information and differential evolution optimization. - Bartosz Telenczuk; María J. Ledesma-Carbayo; Javier A. Velázquez-Muriel; Carlos Oscar Sánchez Sorzano; José María Carazo; Andrés Santos (ISBI, 2006)

Extraction of the Coronary Artery Tree in Cardiac Computer Tomographic Images Using Morphological Operators. - Miguel A. Luengo-Oroz; María J. Ledesma-Carbayo; J. J. Gómez-Diego; Miguel A. García-Fernández; Manuel Desco; Andrés Santos (FIMH, 2007)

Motion estimation and segmentation of cardiac magnetic resonance images using variational and level set techniques. - Noemí Carranza-Herrezuelo; Gabriel Cristóbal; Andrés Santos; María-Jesus Ledesma-Carbayo (EUSIPCO, 2008)

Flexible image registration for the identification of best fitted protein models in 3D-EM maps. - Laura Fernandez-de-Manuel; María J. Ledesma-Carbayo; Julian Atienza-Herrero; Carlos Oscar Sánchez Sorzano; José María Carazo; Andrés Santos (ISBI, 2008)

Assessment of 3D DCE-MRI of the kidneys using non-rigid image registration and segmentation of voxel time courses. - Frank Zöllner 001; Rosario Sance; Peter Rogelj; María J. Ledesma-Carbayo; Jarle Rørvik; Andrés Santos; Arvid Lundervold (Comput. Medical Imaging Graph., 2009)

Increasing temporal resolution of 3D transesophageal ultrasound by rigid body registration of sequential, temporally offset sequences. - Francisco Contijoch; Laura Fernandez-de-Manuel; Tri Ngo; Joshua Stearns; Kelly L. Grogan; MaryBeth Brady; Philippe Burlina; Andrés Santos; David D. Yuh; Daniel A. Herzka; María J. Ledesma-Carbayo; Elliot R. McVeigh (ISBI, 2010)

Motion estimation of tagged cardiac magnetic resonance images using variational techniques. - Noemí Carranza-Herrezuelo; A. Bajo; Filip Sroubek; C. Santamarta; Gabriel Cristóbal; Andrés Santos; María J. Ledesma-Carbayo (Comput. Medical Imaging Graph., 2010)

Exploiting Quasiperiodicity in Motion Correction of Free-Breathing Myocardial Perfusion MRI. - Gert Wollny; María J. Ledesma-Carbayo; Peter Kellman; Andrés Santos (IEEE Trans. Medical Imaging, 2010)

Nonrigid Motion Compensation of Free Breathing Acquired Myocardial Perfusion Data. - Gert Wollny; Peter Kellman; Andrés Santos; María J. Ledesma-Carbayo (Bildverarbeitung für die Medizin, 2011)

Image processing challenges in the creation of spatiotemporal gene expression atlases of developing embryos. - Carlos Castro; Miguel Angel Luengo-Oroz; Louise Douloquin; Thierry Savy; Camilo Melani; Sophie Desnoulez; Paul Bourgine; Nadine Peyriéras; María-Jesus Ledesma-Carbayo; Andrés Santos (EMBC, 2011)

Optimal multiresolution 3D level-set method for liver segmentation incorporating local curvature constraints. - Daniel Jimenez-Carretero; Laura Fernandez-de-Manuel; Javier Pascau; Jose M. Tellado; Enrique Ramon; Manuel Desco; Andrés Santos; María J. Ledesma-Carbayo (EMBC, 2011)

Processing pipeline for digitalizing the lineage tree of early zebrafish embryogenesis from multiharmonic imaging. - Miguel A. Luengo-Oroz; Thierry Savy; Jose L. Rubio-Guivernau; Louise Duloquin; Emmanuel Faure; Nicolas Olivier; María J. Ledesma-Carbayo; Delphine Debarre; Paul Bourgine; Emmanuel Beaurepaire; Nadine Peyriéras; Andrés Santos (ISBI, 2011)

Spatio-temporal filtering with morphological operators for robust cell migration estimation in "in-vivo" images. - David Pastor-Escuredo; Miguel A. Luengo-Oroz; Louise Duloquin; Benoit Lombardot; María J. Ledesma-Carbayo; Paul Bourgine; Nadine Peyriéras; Andrés Santos (ISBI, 2012)

Wavelet-based image fusion in multi-view three-dimensional microscopy. - Jose L. Rubio-Guivernau; Vasily Gurchenkov; Miguel A. Luengo-Oroz; Louise Duloquin; Paul Bourgine; Andrés Santos; Nadine Peyriéras; María J. Ledesma-Carbayo (Bioinform., 2012)

Automatic motion compensation of free breathing acquired myocardial perfusion data by using independent component analysis. - Gert Wollny; Peter Kellman; Andrés Santos; María J. Ledesma-Carbayo (Medical Image Anal., 2012)

3D+t Morphological Processing: Applications to Embryogenesis Image Analysis. - Miguel A. Luengo-Oroz; David Pastor-Escuredo; Carlos Castro-Gonzalez; Emmanuel Faure; Thierry Savy; Benoit Lombardot; Jose L. Rubio-Guivernau; Louise Duloquin; María J. Ledesma-Carbayo; Paul Bourgine; Nadine Peyriéras; Andrés Santos (IEEE Trans. Image Process., 2012)

Methodology for Reconstructing Early Zebrafish Development From In Vivo Multiphoton Microscopy. - Miguel A. Luengo-Oroz; Jose L. Rubio-Guivernau; Emmanuel Faure; Thierry Savy; Louise Duloquin; Nicolas Olivier; David Pastor-Escuredo; María J. Ledesma-Carbayo; Delphine Debarre; Paul Bourgine; Emmanuel Beaurepaire; Nadine Peyriéras; et al. (IEEE Trans. Image Process., 2012)

Registration and Fusion of Contrast-Enhanced MRI Myocardial Substrate Maps and X-ray Angiograms. - Juan E. Ortuño 001; Esther Pérez-David; Angel Arenal; Javier Bermejo; Andrés Santos; María J. Ledesma-Carbayo (CinC, 2013)

3D Frangi-based lung vessel enhancement filter penalizing airways. - Daniel Jimenez-Carretero; Andrés Santos; Sjoerd Kerkstra; Rina Dewi Rudyanto; María J. Ledesma-Carbayo (ISBI, 2013)

DCE@urLAB: a dynamic contrast-enhanced MRI pharmacokinetic analysis tool for preclinical data. - Juan E. Ortuño 001; María J. Ledesma-Carbayo; Rui V. Simões; Ana-Paula Candiota; Carles Arús; Andrés Santos (BMC Bioinform., 2013)

FocusDET, A New Toolbox for SISCOM Analysis. Evaluation of the Registration Accuracy Using Monte Carlo Simulation. - Berta Martí Fuster; Oscar Esteban; Xavier Planes; Pablo Aguiar 001; Cristina Crespo; Carles Falcón; Gert Wollny; Sebastià Rubí Sureda; Xavier Setoain; Alejandro F. Frangi; María J. Ledesma-Carbayo; Andrés Santos; et al. (Neuroinformatics, 2013)

MIA - A free and open source software for gray scale medical image analysis. - Gert Wollny; Peter Kellman; María J. Ledesma-Carbayo; Matthew M. Skinner; Jean-Jaques Hublin; Thomas Hierl (Source Code Biol. Medicine, 2013)

Simulation-based evaluation of susceptibility distortion correction methods in diffusion MRI for connectivity analysis. - Oscar Esteban; Alessandro Daducci; Emmanuel Caruyer; Kieran O'Brien; María J. Ledesma-Carbayo; Meritxell Bach Cuadra; Andrés Santos (ISBI, 2014)

Comparison of Linear and Non-linear 2D+T Registration Methods for DE-MRI Cardiac Perfusion Studies. - Gert Wollny; María-Jesus Ledesma-Carbayo (STACOM, 2014)

A benchmark for comparison of cell tracking algorithms. - Martin Maska; Vladimír Ulman; David Svoboda; Pavel Matula; Petr Matula; Cristina Ederra; Ainhoa Urbiola; Tomás España; Subramanian Venkatesan 001; Deepak M. W. Balak; Pavel Karas; Tereza Bolcková; et al. (Bioinform., 2014)

MBIS: Multivariate Bayesian Image Segmentation tool. - Oscar Esteban; Gert Wollny; Subrahmanyam Gorthi; María J. Ledesma-Carbayo; Jean-Philippe Thiran; Andrés Santos; Meritxell Bach Cuadra (Comput. Methods Programs Biomed., 2014)

Organ-focused mutual information for nonrigid multimodal registration of liver CT and Gd-EOB-DTPA-enhanced MRI. - Laura Fernandez-de-Manuel; Gert Wollny; Jan Kybic; Daniel Jimenez-Carretero; Jose M. Tellado; Enrique Ramon; Manuel Desco; Andrés Santos; Javier Pascau; María J. Ledesma-Carbayo (Medical Image Anal., 2014)

A Digital Framework to Build, Visualize and Analyze a Gene Expression Atlas with Cellular Resolution in Zebrafish Early Embryogenesis. - Carlos Castro-Gonzalez; Miguel A. Luengo-Oroz; Louise Duloquin; Thierry Savy; Barbara Rizzi; Sophie Desnoulez; René Doursat; Yannick L. Kergosien; María J. Ledesma-Carbayo; Paul Bourgine; Nadine Peyriéras; Andrés Santos (PLoS Comput. Biol., 2014)

Evaluation of speckle reduction with denoising filtering in optical coherence tomography for dermatology. - Juan J. Gomez-Valverde; Juan E. Ortuño 001; Pedro Guerra; Boris Hermann; Behrooz Zabihian; Jose L. Rubio-Guivernau; Andrés Santos; Wolfgang Drexler; María J. Ledesma-Carbayo (ISBI, 2015)

Automatic ventricle detection in Computed Tomography Pulmonary Angiography. - Sara Rodriguez-Lopez; Daniel Jimenez-Carretero; Raúl San José Estépar; Eduardo Fraile Moreno; Kanako K. Kumamaru; Frank J. Rybicki; María J. Ledesma-Carbayo; Germán González (ISBI, 2015)

Right ventricle segmentation from cardiac MRI: A collation study. - Caroline Petitjean; Maria A. Zuluaga; Wenjia Bai; Jean-Nicolas Dacher; Damien Grosgeorge; Jérôme Caudron; Su Ruan; Ismail Ben Ayed; Manuel Jorge Cardoso; Hsiang-Chou Chen; Daniel Jimenez-Carretero; María J. Ledesma-Carbayo; et al. (Medical Image Anal., 2015)

Derivation of a test statistic for emphysema quantification. - Gonzalo Vegas-Sánchez-Ferrero; George R. Washko; Farbod N. Rahaghi; María J. Ledesma-Carbayo; Raúl San José Estépar (ISBI, 2016)

Diffantom: Whole-Brain Diffusion MRI Phantoms Derived from Real Datasets of the Human Connectome Project. - Oscar Esteban; Emmanuel Caruyer; Alessandro Daducci; Meritxell Bach Cuadra; María J. Ledesma-Carbayo; Andrés Santos (Frontiers Neuroinformatics, 2016)

Surface-driven registration method for the structure-informed segmentation of diffusion MR images. - Oscar Esteban; Dominique Zosso; Alessandro Daducci; Meritxell Bach Cuadra; María J. Ledesma-Carbayo; Jean-Philippe Thiran; Andrés Santos (NeuroImage, 2016)

Deep-learning strategy for pulmonary artery-vein classification of non-contrast CT images. - Pietro Nardelli; Daniel Jimenez-Carretero; David Bermejo-Peláez; María J. Ledesma-Carbayo; Farbod N. Rahaghi; Raúl San José Estépar (ISBI, 2017)

Statistical characterization of noise for spatial standardization of CT scans: Enabling comparison with multiple kernels and doses. - Gonzalo Vegas-Sánchez-Ferrero; María J. Ledesma-Carbayo; George R. Washko; Raúl San José Estépar (Medical Image Anal., 2017)

Detection of Motor Impairment in Parkinson's Disease Via Mobile Touchscreen Typing. - Teresa Arroyo-Gallego; María-Jesus Ledesma-Carbayo; Álvaro Sánchez-Ferro; Ian Butterworth; Carlos S. Mendoza; Michele Matarazzo; Paloma Montero; Roberto Lopez-Blanco; Verónica P. Casaliglla; Rocio Trincado; Luca Giancardo (IEEE Trans. Biomed. Eng., 2017)

Tumor localization using prone to supine surface based registration for breast cancer surgical planning. - Felicia Alfano; F. Perez Garcia; Juan Enrique Ortuño Fisac; Mercedes Herrero Conde; Oscar Bueno Zamora; Felipe A. Calvo; Serafín Lizarraga; Andrés Santos; Javier Pascau; María J. Ledesma-Carbayo (ISBI, 2018)

Emphysema classification using a multi-view convolutional network. - David Bermejo-Peláez; Raúl San José Estépar; María J. Ledesma-Carbayo (ISBI, 2018)

Multiorgan structures detection using deep convolutional neural networks. - Jorge Onieva Onieva; Germán González Serrano; Thomas P. Young; George R. Washko; María-Jesus Ledesma-Carbayo; Raúl San José Estépar (Image Processing, 2018)

Autocalibration method for non-stationary CT bias correction. - Gonzalo Vegas-Sánchez-Ferrero; María J. Ledesma-Carbayo; George R. Washko; Raúl San José Estépar (Medical Image Anal., 2018)

Pulmonary Artery-Vein Classification in CT Images Using Deep Learning. - Pietro Nardelli; Daniel Jimenez-Carretero; David Bermejo-Peláez; George R. Washko; Farbod N. Rahaghi; María J. Ledesma-Carbayo; Raúl San José Estépar (IEEE Trans. Medical Imaging, 2018)

Prone to Supine Surface Based Registration Workflow for Breast Tumor Localization in Surgical Planning. - Felicia Alfano; Juan Enrique Ortuño Fisac; Mónica García-Sevilla; Mercedes Herrero Conde; Oscar Bueno Zamora; Serafín Lizarraga; Andrés Santos; Javier Pascau; María-Jesus Ledesma-Carbayo (ISBI, 2019)

A SR-NET 3D-to-2D Architecture For Paraseptal Emphysema Segmentation. - David Bermejo-Peláez; Yuka Okajima; George R. Washko; María-Jesus Ledesma-Carbayo; Raúl San José Estépar (ISBI, 2019)

A graph-cut approach for pulmonary artery-vein segmentation in noncontrast CT images. - Daniel Jimenez-Carretero; David Bermejo-Peláez; Pietro Nardelli; Patricia Fraga; Eduardo Fraile Moreno; Raúl San José Estépar; María J. Ledesma-Carbayo (Medical Image Anal., 2019)

Stitching Methodology for Whole Slide Low-Cost Robotic Microscope Based on a Smartphone. - Juan E. Ortuño 001; Lin Lin; María del Pilar Ortega; Jaime García-Villena; Daniel Cuadrado; María Linares; Andrés Santos; María J. Ledesma-Carbayo; Miguel A. Luengo-Oroz (ISBI, 2020)

A New Workflow for Image-Guided Intraoperative Electron Radiotherapy Using Projection-Based Pose Tracking. - Subhra S. Goswami; Juan E. Ortuño 001; Andrés Santos; Felipe A. Calvo; Javier Pascau; María J. Ledesma-Carbayo (IEEE Access, 2020)

Computer Aided Detection for Pulmonary Embolism Challenge (CAD-PE). - Germán González; Daniel Jimenez-Carretero; Sara Rodríguez-López; Carlos Cano-Espinosa; Miguel Cazorla; Tanya Agarwal; Vinit Agarwal; Nima Tajbakhsh; Michael B. Gotway; Jianming Liang; Mojtaba Masoudi; Noushin Eftekhari; et al. (CoRR, 2020)

Automatic estimation of aortic and mitral valve displacements in dynamic CTA with 4D graph-cuts. - Juan E. Ortuño 001; Gonzalo Vegas-Sánchez-Ferrero; Juan J. Gomez-Valverde; Marcus Y. Chen; Andrés Santos; Elliot R. McVeigh; María J. Ledesma-Carbayo (Medical Image Anal., 2020)

Combining collective and artificial intelligence for global health diseases diagnosis using crowdsourced annotated medical images. - Lin Lin; David Bermejo-Peláez; Daniel Capellán-Martín; Daniel Cuadrado; Cristina Rodríguez; Lydia García; Nuria Díez; Rocío Tomé; María Postigo; María-Jesus Ledesma-Carbayo; Miguel A. Luengo-Oroz (EMBC, 2021)

Delta-Radiomics Signature For Prediction Of Survival In Advanced Nsclc Patients Treated With Immunotherapy. - Benito Farina; na Delia Ramos Guerra; Carmelo Palacios Miras; Guillermo Gallardo Madueño; Arrate Muñoz-Barrutia; German R. Peces-Barba; Luis Miguel Seijo Maceiras; Jesús Corral; Ignacio Gil-Bazo; Manuel Dómine Gómez; María J. Ledesma-Carbayo (ISBI, 2021)

Fetal MRI by robust deep generative prior reconstruction and diffeomorphic registration: application to gestational age prediction. - Lucilio Cordero-Grande; Juan Enrique Ortuño Fisac; Alena Uus; Maria Deprez; Andrés Santos; Joseph V. Hajnal; María-Jesus Ledesma-Carbayo (CoRR, 2021)

Pig data for 2D-3D intensity-based registration. - Subhra S. Goswami; Juan Enrique Ortuño Fisac; Andrés Santos; Felipe A. Calvo; Javier Pascau; María-Jesus Ledesma-Carbayo (IEEE DataPort, 2021)

Deep-learning characterization and quantification of COVID-19 pneumonia lesions from chest CT images. - David Bermejo-Peláez; Raúl San José Estépar; M. Fernández-Velilla; Carmelo Palacios Miras; Guillermo Gallardo Madueño; M. Benegas; Miguel A. Luengo-Oroz; J. Sellarés; M. Sánchez; Gorka Bastarrika; German R. Peces-Barba; Luis Miguel Seijo Maceiras; et al. (Computer-Aided Diagnosis, 2022)

Analysis of Potential Biases on Mammography Datasets for Deep Learning Model Development. - Blanca Zufiria; Karen López-Linares; María Jesús García González; Kristin May Rebescher; Iván Lalaguna; Esther Albertín; Maria B. Cimadevila; Javier Garcia; María J. Ledesma-Carbayo; Iván Macía (AMAI@MICCAI, 2022)

Breast Tumor Localization by Prone to Supine Landmark Driven Registration for Surgical Planning. - Felicia Alfano; Lucilio Cordero-Grande; Juan E. Ortuño 001; Karla Ferreres García; Mónica García-Sevilla; Oscar Bueno Zamora; Mercedes Herrero Conde; Santiago Lizarraga; Andrés Santos; Javier Pascau; María J. Ledesma-Carbayo (IEEE Access, 2022)

A Lightweight, Rapid and Efficient Deep Convolutional Network for Chest X-Ray Tuberculosis Detection. - Daniel Capellán-Martín; Juan J. Gomez-Valverde; David Bermejo-Peláez; María J. Ledesma-Carbayo (ISBI, 2023)

Deep learning-based lung segmentation and automatic regional template in chest x-ray images for pediatric tuberculosis. - Daniel Capellán-Martín; Juan J. Gómez-Valverde; Ramon Sánchez-Jacob; David Bermejo-Peláez; Lara García-Delgado; Elisa López-Varela; María J. Ledesma-Carbayo (Computer-Aided Diagnosis, 2023)

Model Ensemble for Brain Tumor Segmentation in Magnetic Resonance Imaging. - Daniel Capellán-Martín; Zhifan Jiang; Abhijeet Parida; Xinyang Liu; Van Lam; Hareem Nisar; Austin Tapp; Sarah Elsharkawi; María J. Ledesma-Carbayo; Syed Muhammad Anwar; Marius George Linguraru (BraTS/CrossMoDA@MICCAI, 2023)

Fetal MRI by Robust Deep Generative Prior Reconstruction and Diffeomorphic Registration. - Lucilio Cordero-Grande; Juan Enrique Ortuño Fisac; Alejandra Aguado del Hoyo; Alena Uus; Maria Deprez; Andrés Santos; Joseph V. Hajnal; María J. Ledesma-Carbayo (IEEE Trans. Medical Imaging, 2023)

Use of semi-synthetic data for catheter segmentation improvement. - Viacheslav V. Danilov; Dmitrii Yu. Kolpashchikov; Olga M. Gerget; Nikita Laptev; Alex Proutski; Luis A. Hernández Gómez; Federico Alvarez; María J. Ledesma-Carbayo (Comput. Medical Imaging Graph., 2023)

Stromal Tissue Segmentation in Multi-Stained Serial Histopathological Sections of Pancreatic Tumors. - David Montalvo-García; Juan E. Ortuño 001; Ana D. Ramos-Guerra; Sofía Granados-Aparici; Subhra S. Goswami; Pablo Santiago Diaz; Maria Evangelina Patriarca-Amiano; Joan Lop Gros; Lidia Estudillo; Mar Iglesias Coma; Rosa Noguera; Núria Malats; et al. (COMPAY@MICCAI, 2024)

Learning Breast Tissue Prone-To-Supine Displacement for Surgical Planning with Convolutional Neural Networks. - Felicia Alfano; David Bermejo-Peláez; Lucilio Cordero-Grande; Karla Ferreres García; Juan Enrique Ortuño Fisac; Oscar Bueno Zamora; Serafín Lizarraga; Andrés Santos; Javier Pascau; María J. Ledesma-Carbayo (ISBI, 2024)

Zero-Shot Pediatric Tuberculosis Detection in Chest X-Rays Using Self-Supervised Learning. - Daniel Capellán-Martín; Abhijeet Parida; Juan J. Gómez-Valverde; Ramon Sánchez-Jacob; Pooneh Roshanitabrizi; Marius George Linguraru; María J. Ledesma-Carbayo; Syed Muhammad Anwar (ISBI, 2024)

Enhancing Generalizability in Brain Tumor Segmentation: Model Ensemble with Adaptive Post-Processing. - Zhifan Jiang; Daniel Capellán-Martín; Abhijeet Parida; Xinyang Liu; María J. Ledesma-Carbayo; Syed Muhammad Anwar; Marius George Linguraru (ISBI, 2024)

Fetal Body Parts Segmentation Using Volumetric MRI Reconstructions. - Pedro Pablo Alarcón-Gil; Felicia Alfano; Alena Uus; María-Jesus Ledesma-Carbayo; Lucilio Cordero-Grande (PIPPI@MICCAI, 2024)

Classification and Prediction of Age-Related Macular Degeneration Progression Using OCT Images and Multiple Instance Learning. - Alberto J. Beltrán-Carrero; Javier Torresano-Rodríguez; Esther Santos-Vicente; María J. Aparicio Hernández-Lastras; Álvaro Caballero-Sastre; María J. Ledesma-Carbayo; Juan J. Gómez-Valverde (DIAMOND/MARIO@MICCAI, 2024)

Data Alchemy: Mitigating Cross-Site Model Variability Through Test Time Data Calibration. - Abhijeet Parida; Antònia Alomar; Zhifan Jiang; Pooneh Roshanitabrizi; Austin Tapp; María J. Ledesma-Carbayo; Ziyue Xu 001; Syed Muhammed Anwar; Marius George Linguraru; Holger R. Roth (MLMI@MICCAI (2), 2024)

DiCoM - Diverse Concept Modeling towards Enhancing Generalizability in Chest X-Ray Studies. - Abhijeet Parida; Daniel Capellán-Martín; Sara Atito 001; Muhammad Awais 001; María J. Ledesma-Carbayo; Marius George Linguraru; Syed Muhammad Anwar (CoRR, 2024)

Magnetic Resonance Imaging Feature-Based Subtyping and Model Ensemble for Enhanced Brain Tumor Segmentation. - Zhifan Jiang; Daniel Capellán-Martín; Abhijeet Parida; Austin Tapp; Xinyang Liu; María J. Ledesma-Carbayo; Syed Muhammad Anwar; Marius George Linguraru (CoRR, 2024)

Adult Glioma Segmentation in Sub-Saharan Africa using Transfer Learning on Stratified Finetuning Data. - Abhijeet Parida; Daniel Capellán-Martín; Zhifan Jiang; Austin Tapp; Xinyang Liu; Syed Muhammad Anwar; María J. Ledesma-Carbayo; Marius George Linguraru (CoRR, 2024)

Controllable Latent Diffusion-Based 3D Brain Tumor Segmentation: With Synthetic Label Generation and Detailed Variance Map. - Xinyang Liu; Pengfei Guo; Daniel Capellán-Martín; Zhifan Jiang; Holger R. Roth; Austin Tapp; María J. Ledesma-Carbayo; Syed Muhammad Anwar; Marius George Linguraru (ISBI, 2025)

Deep Learning for Retinal Degeneration Assessment: A Comprehensive Analysis of the MARIO AMD Progression Challenge. - Rachid Zeghlache; Ikram Brahim; Pierre-Henri Conze; Mathieu Lamard; Mohammed El Amine Lazouni; Elaouaber Zineb Aziza; Leila Ryma Lazouni; Christopher Nielsen; Ahmad O. Ahsan; Matthias Wilms; Nils D. Forkert; Lovre Antonio Budimir; et al. (CoRR, 2025)