MammoApplet: An interactive Java applet tool for manual annotation in medical imaging. - Christian Mata; Arnau Oliver; Albert Torrent; Joan Martí (BIBE, 2012)

Web-based application for medical imaging management. - Christian Mata Miquel (2015)

Semi-automated labelling of medical images: benefits of a collaborative work in the evaluation of prostate cancer in MRI. - Christian Mata; Alain Lalande; Paul Michael Walker; Arnau Oliver; Joan Martí (CoRR, 2017)

Image Similarity Metrics Suitable for Infrared Video Stabilization during Active Wildfire Monitoring: A Comparative Analysis. - Mario Miguel Valero; Steven Verstockt; Christian Mata; Dan Jimenez; Lloyd Queen; Oriol Rios; Elsa Pastor; Eulàlia Planas (Remote. Sens., 2020)

Comparing Machine Learning Based Segmentation Models on Jet Fire Radiation Zones. - Carmina Pérez-Guerrero; Adriana Palacios; Gilberto Ochoa-Ruiz; Christian Mata; Miguel González-Mendoza 001; Luis Eduardo Falcón-Morales (MICAI (1), 2021)

Comparing ML based Segmentation Models on Jet Fire Radiation Zone. - Carmina Pérez-Guerrero; Adriana Palacios; Gilberto Ochoa-Ruiz; Christian Mata; Miguel González-Mendoza 001; Luis Eduardo Falcón-Morales (CoRR, 2021)

Thermal Infrared Video Stabilization for Aerial Monitoring of Active Wildfires. - Mario Miguel Valero; Steven Verstockt; Bret Butler; Dan Jimenez; Oriol Rios; Christian Mata; Lloyd Queen; Elsa Pastor; Eulàlia Planas (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Impact of Loss Function in Deep Learning Methods for Accurate Retinal Vessel Segmentation. - Daniela Herrera; Gilberto Ochoa-Ruiz; Miguel González-Mendoza 001; Christian Stephan-Otto; Christian Mata (MICAI (1), 2022)

Comparison of Automatic Prostate Zones Segmentation Models in MRI Images Using U-net-like Architectures. - Pablo Cesar Quihui-Rubio; Gilberto Ochoa-Ruiz; Miguel González-Mendoza 001; Gerardo Rodriguez-Hernandez; Christian Mata (MICAI (1), 2022)

MedicalSeg: A Medical GUI Application for Image Segmentation Management. - Christian Mata; Josep Munuera; Alain Lalande; Gilberto Ochoa-Ruiz; Raul Benitez (Algorithms, 2022)

Experimental Large-Scale Jet Flames' Geometrical Features Extraction for Risk Management Using Infrared Images and Deep Learning Segmentation Methods. - Carmina Pérez-Guerrero; Adriana Palacios; Gilberto Ochoa-Ruiz; Christian Mata; Joaquim Casal; Miguel González-Mendoza 001; Luis Eduardo Falcón-Morales (CoRR, 2022)

Impact of loss function in Deep Learning methods for accurate retinal vessel segmentation. - Daniela Herrera; Gilberto Ochoa-Ruiz; Miguel González-Mendoza 001; Christian Mata (CoRR, 2022)

FAU-Net: An Attention U-Net Extension with Feature Pyramid Attention for Prostate Cancer Segmentation. - Pablo Cesar Quihui-Rubio; Daniel Flores-Araiza; Miguel González-Mendoza 001; Christian Mata; Gilberto Ochoa-Ruiz (MICAI (2), 2023)

Assessing the Performance of Deep Learning-Based Models for Prostate Cancer Segmentation Using Uncertainty Scores. - Pablo Cesar Quihui-Rubio; Daniel Flores-Araiza; Gilberto Ochoa-Ruiz; Miguel González-Mendoza 001; Christian Mata (CaPTion@MICCAI, 2023)

Semi-Automatic GUI Platform to Characterize Brain Development in Preterm Children Using Ultrasound Images. - David Rabanaque; Maria Regalado; Raul Benitez; Sonia Rabanaque; Thais Agut; Nuria Carreras; Christian Mata (J. Imaging, 2023)

Image Enhancement and Segmentation of Magnetic Resonance Cerebral Vessels Through Conventional and Deep Learning Techniques. - Daniela Herrera; Francisco Javier López-Tiro; Josep Munuera; Christian Mata; Miguel González-Mendoza 001; Gilberto Ochoa-Ruiz (CBMS, 2024)

A Comparison of Open Source Deep Learning Based Models for Automatic Tumor Segmentation in Radiotherapy Planning of Glioblastoma Multiforme Adult Patients. - Gloria Campos; Maria Beser-Robles; Jaime Castellá-Malonda; Luis Martí-Bonmatí; Christian Mata; Montserrat Carles (CBMS, 2025)

Novel classification of brain vascular tortuosity measures: A systematic review. - Sandra Bernaus; Júlia Romagosa; Christian Mata; Christian Stephan-Otto; Raul Benitez; Arnau Valls Esteve; Josep Munuera (Comput. Biol. Medicine, 2025)