Instituto de Innovación en Productividad y Logística CATENA-USFQ

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. Our work contributes towards the following SDG(s):

SDG 1 No Poverty
SDG 3 Good Health and Well-being
SDG 7 Affordable and Clean Energy
SDG 8 Decent Work and Economic Growth
SDG 9 Industry, Innovation, and Infrastructure
SDG 11 Sustainable Cities and Communities
SDG 14 Life Below Water

María Baldeón Calisto
- mbaldeoncusfq.eduec
- Ingeniería Industrial
- Instituto de Innovación en Productividad y Logística CATENA-USFQ - Director Instituto de Innovación en Productividad y Logística CATENA-USFQ
Person: Academic
20182026

38 Conference contribution
14 Article
2 Conference article
1 Chapter
More
- 1 Short survey

Is segmentation solved? An evaluation of vision foundation models for head and neck tumor segmentation
Baldeon-Calisto, M., Perez-Pérez, N. & Guevara, C., 28 May 2026, In: Physics in Medicine and Biology. 71, 10, 105026.
Research output: Contribution to journal › Article › peer-review
MassSeg-Framework: A Breast Mass Detection and Segmentation Framework Based on Deep Learning and an Active Contour Model
Zambrano, C., Pérez-Pérez, N., Coimbra, M., Baldeon-Calisto, M., Flores-Moyano, R., Mora, J. R., Camacho, O. & Benítez, D., Apr 2026, In: Life. 16, 4, 653.
Research output: Contribution to journal › Article › peer-review

Open Access
Unveiling aroma: A machine learning approach to modeling aroma profiles from chemical components
Flores, D., Lanas, C., Velez-Malo, G., Amaya-Gómez, R., Ratkovich, N. & Baldeon-Calisto, M., Jun 2026, In: Applied Food Research. 6, 1, 101962.
Research output: Contribution to journal › Article › peer-review

Open Access

Departamento de Ingenieria Industrial Researchers Highlight Recent Research in Health and Medicine (StAC-DA: Structure aware cross-modality domain adaptation framework with image and feature-level adaptation for medical image segmentation)
Baldeón Calisto, M.
16/09/24
1 item of Media coverage
Press/Media
Universidad San Francisco de Quito Researcher Updates Current Data on Social Science and Computers (A Transformer Model for Manifesto Classification Using Cross-Context Training: An Ecuadorian Case Study)
Riofrío, D., Benítez, D., Baldeón Calisto, M., Navarrete, D., Flores Moyano, R., Medina Pérez, P. & Pérez, N.
9/08/24
1 item of Media coverage
Press/Media

Instituto de Innovación en Productividad y Logística CATENA-USFQ

UN Sustainable Development Goals

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

María Baldeón Calisto

Is segmentation solved? An evaluation of vision foundation models for head and neck tumor segmentation

MassSeg-Framework: A Breast Mass Detection and Segmentation Framework Based on Deep Learning and an Active Contour Model

Unveiling aroma: A machine learning approach to modeling aroma profiles from chemical components

Departamento de Ingenieria Industrial Researchers Highlight Recent Research in Health and Medicine (StAC-DA: Structure aware cross-modality domain adaptation framework with image and feature-level adaptation for medical image segmentation)

Universidad San Francisco de Quito Researcher Updates Current Data on Social Science and Computers (A Transformer Model for Manifesto Classification Using Cross-Context Training: An Ecuadorian Case Study)

Instituto de Innovación en Productividad y Logística CATENA-USFQ

UN Sustainable Development Goals

Fingerprint

Collaborations and top research areas from the last five years

Profiles

María Baldeón Calisto

Research output

Is segmentation solved? An evaluation of vision foundation models for head and neck tumor segmentation

MassSeg-Framework: A Breast Mass Detection and Segmentation Framework Based on Deep Learning and an Active Contour Model

Unveiling aroma: A machine learning approach to modeling aroma profiles from chemical components

Press/Media

Departamento de Ingenieria Industrial Researchers Highlight Recent Research in Health and Medicine (StAC-DA: Structure aware cross-modality domain adaptation framework with image and feature-level adaptation for medical image segmentation)

Universidad San Francisco de Quito Researcher Updates Current Data on Social Science and Computers (A Transformer Model for Manifesto Classification Using Cross-Context Training: An Ecuadorian Case Study)