Team

Víctor Castañeda

Director. Born in Caracas, Venezuela. He studied Electrical engineering at Universidad de Chile, Santiago, Chile, and obtained his B.S and engineer degree in 2004 and 2005 respectively. In 2012 he obtained his Dr.rer.Nat. degree on computer science at Technische Universität München, Munich, Germany, thanks to his DAAD-CONICYT scholarship, supervised by Dr. Prof. Nassir Navab leader of the chair of Computer Assisted Medical Procedures and Augmented Reality. Since 2025, he founded Tech4MEDICS-Lab at the Medicine Faculty of Universidad de Chile, Santiago, Chile. The main topics of his Ph.D. thesis were the processing of endoscopic images and 3D sensors as Time-Of-Flight cameras and Microsoft Kinect. Currently he works processing spermiogram images at CEDAI, Light-Sheet microscopy, analysis of 2D/3D microscopic images and Clinical Decision Support System based on Medical images and signals. +56 2 2978 6266

Denisse Karl Sáez

Vice-Director. She studied Medical Technology at Universidad de Chile, Santiago, Chile, and obtained her B.S. and MT degree in 2007. In 2007 and 2024 she obtained her Master Science degree on Public Health and Biostatistics respectively at Universidad de Chile. She has been working on mamographies and breast tomosynthesis.

Carlos F. Navarro

Research Associate. Born in Santiago, Chile, he earned his B.S., Electrical Engineer, and Ph.D. degrees in Electrical Engineering from the University of Chile. His research focuses on image processing, pattern recognition, and biomedical signal analysis, with applications in data-driven diagnostics and cognitive health. He is currently an Associate Professor at Universidad Santo Tomás, an Adjunct Assistant Professor at Universidad Andrés Bello, and a part-time lecturer at the University of Chile.

Camilo Sotomayor

Born in 1993, Linares (Chile). He obtained his MD degree from the University of Chile in 2018, and his PhD degree in Medical Sciences from the University of Groningen (The Netherlands) in 2020. He is currently undergoing a medical specialist training program in Radiology at the Clinical Hospital University of Chile. Author of 36 ISI articles and 9 book chapters, speaker at 11 international conferences, grantee of 7 research awards, grants and distinctions. He has served as peer-reviewer in over 45 manuscripts for 20 differentes ISI journals. He currently serves as guest Editor for Transplantology and Reviewer Board for Diagnostics, Nutrients, and Antioxidants by the Editorial MDPI. His research interests include oxidative stress, inflammation, vascular calcification, imaging biomarkers and content-based medical image retrieval. He is a co-founder of LuftBioTech SpA, which is a science and technology-based company formed by a multidisciplinary team aiming to provide innovative solutions to health-related problems.

Alfredo Parra

Academic and researcher at the Faculty of Medicine, University of Chile, serving as an Assistant Professor in the Cardiovascular Department. An Internist, Cardiologist, and PhD in Medical Sciences, he currently serves as the Head of the Cardiovascular Research Unit (UIC) at the Clinical Hospital of the University of Chile (HCUCH). His work focuses on leading platforms that manage research projects with a strong basic-clinical approach. As the Principal Investigator of a FONDECYT project, he studies the pathophysiological mechanisms of atrial fibrillation and ion channel expression in human cardiomyocytes. He complements his academic activity with undergraduate and postgraduate teaching in cardiovascular physiology and pathophysiology, alongside advanced training in electrophysiology. This trajectory allows him to integrate expert clinical insights into the design, development, and validation of technological solutions applied to cardiovascular medicine.

Aníbal Molina

Born in Santiago, Chile, he earned a degree in Computer Engineering from the University of La Frontera in Temuco, Chile, in 2016. He is currently pursuing a Master’s degree in Medical Informatics at the University of Chile, where his thesis focuses on predicting the severity of aortic stenosis from baseline electrocardiograms using artificial intelligence.

Javiera León

Medical Technologist with a specialization in Radiology and Radiotherapy, with experience in university teaching and applied research in medical imaging. She is currently working on a thesis entitled “Quantification of vascular calcifications in mammography and breast tomosynthesis for their association with cardiovascular diseases.”

Camila Maire

Born in Santiago and raised in the Aysén region, she is an Electrical Engineering student specializing in computational intelligence with additional experience in energy systems and seismology. Currently developing a hybrid computer-vision approach for the detection and morphological classification of sperm cells, integrating classical image-processing techniques with data-driven modeling.

Daylin Ortega

A Civil Electrical Engineering student at the University of Chile with a specialization in computational intelligence, currently conducting thesis research on the application of artificial intelligence to enhance prostate cancer detection in magnetic resonance imaging.

Catalina Tobar

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Francisco Romero

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Benjamin Fuentes Gajardo

Bs.C graduate and Medical Technology student at Universidad de Chile. Background in medical imaging and data analysis, with experience working on image processing projects and a focus on practical applications in healthcare.

Carla Jorquera

Medical Technology student at the University of Chile, with a strong foundation in anatomy and experience in medical imaging and data analysis. Has contributed to collaborative lab projects, particularly in image processing and applied work.

Daniela Acevedo

Medical Technologist specialized in Imaging, Radiotherapy, and Medical Physics, born in Las Cabras. Completed a thesis titled “Validation of a Deep Learning Algorithm for Estimating Mammary Glandular Density in Breast Tomosynthesis and Digital Mammography Images Using Breast Magnetic Resonance Imaging.”

Cristóbal Gutiérrez Malhue

Medical Technologist, University of Chile, born in Santiago. Completed a thesis focused on validating a deep learning algorithm to estimate mammary glandular density in breast tomosynthesis and digital mammography images using magnetic resonance imaging data.

Esperanza Tobar

Medical Technologist specialized in Imaging, Radiotherapy, and Medical Physics. Completed a qualitative thesis titled “Strategies to Reduce Barriers to Breast Cancer Screening among Women with Disabilities in Chile.”

Anaís Acosta

Medical Technologist specialized in Imaging, Radiotherapy, and Medical Physics. Completed a qualitative thesis titled “Strategies to Reduce Barriers to Breast Cancer Screening among Women with Disabilities in Chile.”

Vicente Cajas

Medical Technologist specialized in Imaging, Radiotherapy, and Medical Physics. Completed a thesis titled “Development of a Deep Learning Algorithm for Estimating Mammary Density in T1-weighted Breast Magnetic Resonance Imaging.”

Sebastián Millar

Medical Technologist specialized in Imaging, Radiotherapy, and Medical Physics, born in Santiago, Chile. Completed a thesis titled “Development of a Deep Learning Algorithm for Estimating Mammary Density in T1-weighted Breast Magnetic Resonance Imaging.”

Bastián Castelli 

Born in Santiago, Chile. Earned a degree in Electrical Engineering from the University of Chile in 2025. His research focused on arterial calcifications segmentation on images obtained from breast tomosynthesis using deep learning, specifically U-Net Arquitectures and Vision Transformers.

Pilar Nilo

She is from Santiago, Chile, and earned a degree in Electrical Engineering from the University of Chile in 2025. Her research focused on sperm head segmentation and classification using deep learning techniques.

Diego Bartolucci

He is from Santiago, Chile, and graduated with a degree in Electrical Engineering from the University of Chile in 2025. For his thesis, he worked on applying deep learning and visual transformer models to segment and quantify breast density in tomosynthesis images, aiming to improve accuracy in breast cancer risk assessment.