PROBOT - A Computer Integrated Prostatectomy System. - Q. Mei; Simon J. Harris; Fernando Arámbula Cosío; M. S. Nathan; Roger D. Hibberd; J. E. A. Wickham; Brian L. Davies (VBC, 1996)

Resection Simulation with Local Tissue Deformations for Computer Assisted Surgery of the Prostate. - Miguel A. Padilla Castañeda; Fernando Arámbula Cosío (MICAI, 2002)

Robust Fitting of a Point Distribution Model of the Prostate Using Genetic Algorithms. - Fernando Arámbula Cosío (ICIAR (2), 2004)

Soft Tissue Resection for Prostatectomy Simulation. - Miguel A. Padilla Castañeda; Fernando Arámbula Cosío (MICCAI (2), 2004)

Deformable model of the prostate for TURP surgery simulation. - Miguel A. Padilla Castañeda; Fernando Arámbula Cosío (Comput. Graph., 2004)

Autonomous robot navigation using adaptive potential fields. - Fernando Arámbula Cosío; Miguel A. Padilla Castañeda (Math. Comput. Model., 2004)

Improved Collision Detection Algorithm for Soft Tissue Deformable Models. - Miguel A. Padilla Castañeda; Fernando Arámbula Cosío (ENC, 2005)

Prostate Segmentation Using Pixel Classification and Genetic Algorithms. - Fernando Arámbula Cosío (MICAI, 2005)

Automatic analysis of immunocytochemically stained tissue samples. - Fernando Arámbula Cosío; Jorge A. Márquez-Flores; Miguel A. Padilla Castañeda; Sandra Solano; Patricia Tato (Medical Biol. Eng. Comput., 2005)

Navigation System for Computer Assisted Tumor Ablation using Radio Frequency. - Claudio Alcerreca Alcocer; Eric Hazan Lasri; Fernando Arámbula Cosío (EMBC, 2006)

A Framework for the E-R Computational Creativity Model. - Rodrigo García; Pablo Gervás; Raquel Hervás; Rafael Pérez y Pérez; Fernando Arámbula Cosío (MICAI, 2006)

Virtual Resectoscope Interface for a Surgery Simulation Training System of the Prostate. - Miguel A. Padilla; Felipe Altamirano del Monte; Fernando Arámbula Cosío (VRIPHYS, 2006)

Computer Assisted Prostate Surgery Training. - Fernando Arámbula Cosío; Miguel A. Padilla Castañeda; P. R. Sevilla Martínez (Int. J. Humanoid Robotics, 2006)

Applications of Computer Assisted Surgery and Medical Robotics at the ISSSTE, México: Preliminary Results. - José Luis Mosso; Mauricio Pohl; Juan Ramón Jimenez; Raquel Valdés-Cristerna; Oscar Yáñez; Verónica Médina-Bañuelos; Fernando Arámbula Cosío; Miguel Angel Padilla; Jorge Márquez; Alfonso Gastelum; Alejo Mosso; Juan Frausto (MMVR, 2007)

Automatic initialization of an active shape model of the prostate. - Fernando Arámbula Cosío (Medical Image Anal., 2008)

Use of simplex search in active shape models for improved boundary segmentation. - Fernando Arámbula Cosío; Jorge A. Márquez-Flores; Miguel A. Padilla Castañeda (Pattern Recognit. Lett., 2010)

Mammographic image analysis and computer assisted biopsy of breast tumors. - Fernando Arámbula Cosío; Nidiyare Hevia-Montiel; Eric Lira; Cresencio Garcia; Rosa Ma. Quispe; Bartolome Reyes; Eric Hazan Lasri (BMEI, 2011)

Automatic segmentation of the fetal cerebellum on ultrasound volumes, using a 3D statistical shape model. - Benjamín Gutiérrez-Becker; Fernando Arámbula Cosío; Mario E. Guzmán Huerta; Jesús Andrés Benavides-Serralde; Lisbeth Camargo-Marín; Verónica Médina-Bañuelos (Medical Biol. Eng. Comput., 2013)

Left ventricle segmentation in fetal echocardiography using a multi-texture active appearance model based on the steered Hermite transform. - Lorena Vargas-Quintero; Boris Escalante-Ramírez; Lisbeth Camargo-Marín; Mario E. Guzmán Huerta; Fernando Arámbula Cosío; Héctor Borboa Olivares (Comput. Methods Programs Biomed., 2016)

Statistical shape (ASM) and appearance (AAM) models for the segmentation of the cerebellum in fetal ultrasound. - Misael Reyes López; Fernando Arámbula Cosío (SIPAIM, 2017)

Prediction of spinal curve progression in Adolescent Idiopathic Scoliosis using Random Forest regression. - Edgar García Cano; Fernando Arámbula Cosío; Luc Duong; Christian Bellefleur; Marjolaine Roy-Beaudry; Julie Joncas; Stefan Parent; Hubert Labelle (Comput. Biol. Medicine, 2018)

A 3D Hermite-based multiscale local active contour method with elliptical shape constraints for segmentation of cardiac MR and CT volumes. - Leiner Barba-J; Boris Escalante-Ramírez; Enrique Vallejo 002; Fernando Arámbula Cosío (Medical Biol. Eng. Comput., 2018)

Dynamic ensemble selection of learner-descriptor classifiers to assess curve types in adolescent idiopathic scoliosis. - Edgar García Cano; Fernando Arámbula Cosío; Luc Duong; Christian Bellefleur; Marjolaine Roy-Beaudry; Julie Joncas; Stefan Parent; Hubert Labelle (Medical Biol. Eng. Comput., 2018)

A freehand ultrasound framework for spine assessment in 3D: a preliminary study. - Edgar García Cano; Fernando Arámbula Cosío; Fabian Torres Robles; Zian Fanti; Christian Bellefleur; Julie Joncas; Hubert Labelle; Luc Duong (EMBC, 2020)

Probabilistic Learning Coherent Point Drift for 3D Ultrasound Fetal Head Registration. - Jorge Luis Perez-Gonzalez; Fernando Arámbula Cosío; Joel C. Huegel; Verónica Médina-Bañuelos (Comput. Math. Methods Medicine, 2020)

Real-Time 3D Ultrasound Reconstruction Using Octrees. - César Victoria; Fabian Torres Robles; Edgar Garduño; Fernando Arámbula Cosío; Alfonso Gastelum Strozzi (IEEE Access, 2023)

3D statistical shape models for automatic segmentation of the fetal cerebellum in ultrasound images. - Gustavo A. R. Velásquez-Rodríguez; Zian Fanti-Gutiérrez; Fabián Torres; Verónica Médina-Bañuelos; Boris Escalante-Ramírez; Lisbeth Camargo-Marín; Mario E. Guzmán Huerta; Fernando Arámbula Cosío (Signal Image Video Process., 2025)