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ORCID21st SIPAIM 2025: Pasto, Colombia
- 21st International Symposium on Biomedical Image Processing and Analysis, SIPAIM 2025, Pasto, Colombia, November 18-21, 2025. IEEE 2025, ISBN 979-8-3315-5456-9
- Tamoghna Chattopadhyay, Pavithra Senthilkumar, Rahul H. Ankarath, Christopher Patterson, Emma J. Gleave, Sophia I. Thomopoulos, Heng Huang, Li Shen, Lei You, Degui Zhi, Paul M. Thompson:
Predicting Longitudinal Cognitive Decline via Multimodal Deep Learning Fusing Brain MRI and Clinical Data. 1-4 - Alberto Lopez-Figueroa, Jorge Brieva, Ernesto Moya-Albor, Sandra L. Gomez Coronel, Diego Renza, Edgar I. Aguilera-Hernández, Iván Cruz-Aceves:
A Deep-Learning and Bio-inspired Vision Model-Based Approach for Automatic Coronary Arteries Segmentation. 1-2 - Kauê T. N. Duarte, Abhijot S. Sidhu, Murilo Costa de Barros, David G. Gobbi, Cheryl R. McCreary, Mariana P. Bento, Richard Frayne:
Structured Artificial Neural Networks for Chronological Brain Age Prediction using Functional Connectivity Matrices. 1-4 - Sophia Hai, Minxiao Yang, Xiaomeng Lei, Dighvijay Giri, Steven Y. Cen, Crystal Marconett
, Bino A. Varghese:
Multimodal Radiomic Profiling Can Distinguish AT1- and AT2- Cell of Origin Lung Adenocarcinoma Models. 1-4 - José J. Sierra-Molina, Andrés Rosso-Mateus, Fabio A. González:
Improving the performance of multimodal large language models on histopathology images classification. 1-4 - Julia Chu, Rachel J. Sharkey, Cheryl R. McCreary, Feryal Saad, Eric E. Smith, Richard Frayne:
Does Covert Cerebral Small Vessel Disease Modulate Early Change in Glymphatic Flow from DTI-ALPS? 1-4 - Catalina Vergara, Mónica Otero, Cecilia Hernández, Pamela Guevara:
Age-related white matter asymmetry patterns across the lifespan: A diffusion MRI study. 1-5 - Tamoghna Chattopadhyay, Chirag Jagad, Pavithra Senthilkumar, Sophia I. Thomopoulos, Julio E. Villalon-Reina, Paul M. Thompson:
Using Diffusion Transformers to Generate Synthetic Diffusion Scalar Maps for Data Augmentation. 1-4 - Yarelis Prieto, Joaquín Molina, Cecilia Hernández, Mónica Otero, Wael El-Deredy, Pamela Guevara:
Brain dynamics at different resolutions of a hierarchical parcellation. 1-5 - Jaime A. Riascos-Salas, Hernan Villota, Marta Molinas:
Towards Individual Channel Classifiers and Ensemble Methods for Enhanced Motor Imagery BCI Performance. 1-5 - Juliana V. Castilla Rios, Andrés Felipe Carrera-Pinzón, Jean C. Polo, JC Hurtado-Tobar, Yina Benitez, Carlos Órtiz Davila, Eduardo Romero:
ECG-Driven Cardiovascular Risk Prediction. 1-5 - Nataly Rodriguez, Isabel Cristina Munoz, Fabián Andrés Castaño, Alher Mauricio Hernández:
Performance Evaluation of an Algorithm for Respiratory Events Detection. 1-4 - Constanza Rodriguez, Felipe Estay, David Ortiz, Hermes Mora, Rodrigo Salas, Stéren Chabert:
Performance comparison of supervised and unsupervised deep learning models for ischemic lesion detection and segmentation in stroke non-contrast CT images. 1-5 - Connor Elkhill, Ines A. Cruz-Guerrero, Marius George Linguraru, Brooke French, Antonio R. Porras:
A generative model with domain adversarial training and independent conditional discriminators to predict the development of craniosynostosis. 1-5 - Ana María Rojas Galvis, María Fernanda Gómez Cubides, María Paula Cortés Ávila, Hernán Paz Penagos:
Muscle Strength Monitoring System for Neuromuscular Disease Patients. 1-4 - Juan S. Celis-Arámbula, Fabian Cano-Ramirez, Eduardo Romero:
Characterization of complete and incomplete Gastric Intestinal Metaplasia (GIM) by a hamiltonian approach. 1-4 - Diego Garrido-Delgado, José Lillo-Vidal, Matías Escudero-Bell, Victoria Hurtado-Meneses, Manuel Villalobos-Cid:
Spatiotemporal characterisation of stroke care accessibility and hospital coverage in the Santiago Metropolitan Region. 1-5 - Franco Javier Arellano, José Ignacio Orlando:
Evaluating Fundus-Specific Foundation Models for Diabetic Macular Edema Detection. 1-5 - Diana Poveda, Gustavo Pineda, Vanessa Paredes, Eduardo Romero:
Classifying early stages of Parkinson's Disease by constructing a temporal latent space. 1-5 - Soroosh Safari Loaliyan, José Luis Ambite, Paul M. Thompson, Neda Jahanshad, Greg Ver Steeg:
FedDAPL: Toward Client-Private Generalization in Federated Learning. 1-4 - David Cordoba, Fabián Cano, Javier Revelo-Fuelagán, Eduardo Romero:
CAMIL-A Class Activation Mapping Integrated with MIL-Attention. 1-5 - Tim Mach, Daniel Rueckert, Alexander H. Berger, Laurin Lux, Ivan Ezhov:
Addressing Annotation Scarcity in Hyperspectral Brain Image Segmentation with Unsupervised Domain Adaptation. 1-5 - Antonio José Bravo, Manuel Guillermo Orozco, Miguel A. Vera:
Structure-preserving restoration of low-dose CT by means hybrid diffusion-transformer architecture. 1-4 - Irina Rakotoarisedy, Umang Pandey, Lucía Cubero, Tiziana Rancati, Claudio Fiorino, Felipe A. Calvo, Renaud de Crevoisier, Oscar Acosta, Javier Pascau:
Federated Learning for Organs-At-Risk Segmentation in Prostate Cancer: A Multi-Institutional CT Study. 1-4 - Arshin Soltan Bayazidi, Natalia Romero, Evandro Yudi Alves Ribeiro, Vanessa de Cassia Alves, Alan Demétrius Baria Valejo, Conrado Dos Santos Alves Saud, Franco Eusébio Garcia, Vânia Paula de Almeida Néris, Mariana P. Bento:
Unsupervised Clustering of Depression Profiles in University Students Using Behavioral and Sociodemographic Features. 1-5 - Salomón Hernández, Andrés Carrera, Eduardo Romero, Marcela Iregui, Alexander Cerón:
Comparative study of methods for generating echocardiographic images. 1-5 - Ritabrata Roy, Utathya Aich, Asya I. Lyanova, Dmitrii I. Kaplun, Ram Sarkar:
FSTS-Net: A Feature-mixing aided Semi-supervised Teacher-Student Network for Polyp Image Segmentation. 1-5 - Juan Nicolás Mendoza-Chavarría, Daniel Ulises Campos-Delgado, Omar Gutierrez-Navarro:
Pixel-Wise Classification of Placenta Multispectral Images using Multilinear Spectral Unmixing and Res-U-Net. 1-2 - Pedro Lucas Bezerra Mendes, Ronaldo Rodrigues Soares, Mikaela Kalline M. Serrão, Davi Israel Abtibol Carvalho, Marly G. F. Costa, Cicero F. F. Costa Filho:
Prediction of Glucose Level Using Temporal and Frequency Parameters of ECG Signal. 1-5 - Ruben Acosta-Velasquez, Fabián Cano, Eduardo Romero, Fabio A. González:
Uncertainty Quantification for Metaplasia Detection in Gastrointestinal Histopathology Images. 1-5 - Gabriel Carcedo-Rodríguez, Blanca Vazquez, Jorge Pérez-Gonzalez, Nidiyare Hevia-Montiel:
Deep Learning-based Echocardiography Enhancement: Reducing Speckle Noise and Improving Temporal Resolution. 1-5 - Daniela Carrasco-Guerrero, Patricio Riquelme, Cecilia Hernández, Pamela Guevara:
Atlas of Cerebellar Connections Based on ROIs and dMRI Tractography. 1-4 - Tamoghna Chattopadhyay, Gautam Mehendale, Sophia I. Thomopoulos, Himanshu Joshi, Ganesan Venkatasubramanian, John P. John, José Luis Ambite, Greg Ver Steeg, Paul M. Thompson:
Generating diffusion MRI scalar maps from T1-weighted images using Reversible GANs. 1-4 - Dighvijay Giri, Emily Parker, Sophia Hai, Shubham Arun Gujar, Rahatul Jannat, Maryam Fotouhi, Steven Y. Cen, Nasim Sheikh-Bahaei, Bino A. Varghese:
MRI-Radiomics Based Retinal Markers to Detect Amyloid Beta. 1-4 - Gabriel Guerra, Esthefanía Astargo, Diego Mellado, Leondry Mayeta, Stéren Chabert, David Ortiz, Rodrigo Salas:
Visual Explainability of Attention U-Net for Brain Tumor Segmentation in Multicontrast Magnetic Resonance Images. 1-5 - Jhon Olave, Alexander Cerón:
Comparative study of methods for detecting QRS in ECG signals. 1-5 - Kenny Liou, Sophia I. Thomopoulos, Hannah Yoo, Yuhan Shuai, Sasha Chehrzadeh, Arvin Arani, Bret J. Borowski, Robert I. Reid, Clifford R. Jack, Michael W. Weiner, Neda Jahanshad, Paul M. Thompson, Talia M. Nir:
DTI versus NODDI White Matter Microstructural Biomarkers of Alzheimer's Disease. 1-4 - Johan Albarracin, Fabián Cano, Angel Cruz-Roa:
Semantic Segmentation of Tissue in Histopathological Breast Cancer Images Using a U-Net. 1-4 - Sixten Heekin, Nicholas Denson, Julia Smith, Ilyssa Gordon, Lee Denson, Jonathan R. Dillman, David Bruining, Florian Reider, Jasbir Dhaliwal, Lauren Erdman:
Comparative methods for histology-based prediction of anti-TNFα response in pediatric Crohn's disease. 1-6 - Daniela Sosa, Blanca Vázquez, Nidiyare Hevia-Montiel:
Deep learning for Chagas disease: YOLOv8-based automatic detection of amastigote nests. 1-5 - Sergio Carreras-Salinas, Lucía Cubero, Eva Méndez, Javier Pascau:
Leveraging Uncertainty for Quality Assessment of TotalSegmentator Segmentations: A Preliminary Study. 1-4 - Lucía Cubero, Anaïs Barateau, Sergio Carreras, Renaud de Crevoisier, Joël Castelli, Oscar Acosta, Javier Pascau:
Impact of Spatial Normalization on Dose Alignment for Voxel-Based Analysis in Head and Neck Radiotherapy. 1-4 - Filipe A. C. Oliveira, Felipe Meneguitti Dias, Marcelo A. F. Toledo, Diego Armando Cardona Cárdenas, Estela Ribeiro, Ramon Alfredo Moreno, José Eduardo Krieger, Marco A. Gutierrez:
Non-invasive Blood Glucose Estimation: an Approach Using Multi-Wavelength PPG Signals and Residual Neural Networks. 1-5 - Edgar I. Aguilera-Hernández, Iván Cruz-Aceves, Arturo Hernández Aguirre, Ernesto Moya-Albor, Jorge Brieva:
Image Facial Expression Recognition based on Active Muscles and their Notable Triangle Points. 1-5 - Bruno Arce, Catalina Vergara, Mónica Otero, Pamela Guevara, Cecilia Hernández:
Age prediction with structural and functional graph-based features using machine learning. 1-5 - Leila Nabulsi, Bramsh Q. Chandio, Melody JY Kang, Yanghee Im, Genevieve McPhilemy, Fiona M. Martyn, Gloria M. P. Roberts, Brian Hallahan, Udo Dannlowski, Tiana Borgers, Susanne Meinert, Jonathan Repple, Elisabeth J. Leehr, Dominik Grotegerd, Tim Hahn, Tilo Kircher, Lea Teutenberg, Benjamin Straube, Olaf Steinsträter, Frederike Stein, Florian Thomas-Odenthal, Nina Alexander, Paula Usemann, Andreas Jansen, Bartholomeus C. M. Haarman, Philip B. Mitchell, Colm McDonald, Dara M. Cannon, Sophia I. Thomopoulos, Ole A. Andreassen, Christopher R. K. Ching, Paul M. Thompson:
Along-Tract Mapping of White Matter Microstructural Abnormalities in Bipolar Disorder using Diffusion MRI. 1-5 - Bramsh Qamar Chandio, Talia M. Nir, Julio E. Villalon-Reina, Sophia I. Thomopoulos, Yixue Feng, Robert I. Reid, Clifford R. Jack, Michael W. Weiner, Eleftherios Garyfallidis, Neda Jahanshad, Meredith N. Braskie, Sid E. O'Bryant, Paul M. Thompson:
White Matter Tract Vulnerability to Amyloid Pathology on the Alzheimer's Disease Continuum. 1-5 - Elina Huerfano, Leonardo Floréz-Valencia:
Segmentation of Pelvic Radiographs After Total Hip Arthroplasty Using U-Net Variants: Toward Morphometric Automation. 1-5 - Diana Y. Barrero, Josué Ruano-Balseca, Jean C. Polo, Lina Muñoz, Cristian Gualdrón, Martin Gómez, Fabio A. González, Eduardo Romero:
A Realistic Synthetic Endoscopy Dataset from CT-Stomachs with Gastric Wall Textures learned from Endoscopy Images. 1-5 - Letícia Lopes Mendes Da Silva, Diedre Santos Do Carmo, Letícia Rittner:
Beyond Accuracy: Evaluating Fairness in Deep Learning Models for Chest X-ray Classification. 1-5 - Juan D. Sarmiento Avila, Andrés Felipe Carrera-Pinzón, Juan Camilo Hurtado, Hector Andrés Ruiz, Yina Daniela Benitez, Jairo Antonio Perez, Eduardo Romero:
The EchoCardiography open data base EchoUNAL: a benchmarking study for automatic classification of six echocardiographic views. 1-4 - Dominique Osswald-Dinamarca, José Lillo-Vidal, María Fuentes-Cofré, Benjamín Hernández-Méndez, Manuel Villalobos-Cid:
DEA-based assessment of technical efficiency of Chilean hospitals before and during COVID-19. 1-5 - Juan Torres-Santamaria, Oscar Diaz-Celis, Daniel Muñoz Melendez, Marcela Iregui, Eduardo Romero, Angel Cruz-Roa:
AE-HRS: Autoencoder-Based Health Recommender System for Forecasting Cardiovascular Conditions through Collaborative Filtering. 1-5 - Gerardo Ortíz-Montúfar, Lesny Ocampo-Castrejón, Jonhnatan Torres-Torres, Salvador Espino-y-Sosa, Paloma Mateu-Rogell, Omar Piña-Ramirez:
Classification of Post Preeclamptic Mexican Women Using ECG and PPG Detrended Fluctuation Analysis: A Pilot Study. 1-5 - Ping He, Faith Zhu, Rakhika Kumar, Wei Hui, Mariella Vargas-Gutierrez, Mark Friedberg, Luc Mertens, Lauren Erdman:
Evaluation of a novel and simple segmentation uncertainty score in pediatric and neonatal echocardiography. 1-5 - Julián A. Villamarín-Munõz, Paul E. Munõz-Rodriguez, Kittsy M. Ramos-Valdivia, Santiago Prieto-Peña, Edgar W. Gutiérrez:
Intelligent Cyber-Physical Simulator for Breast Ultrasound Radiology Training. 1-2 - Muniba Noreen, Furqan Shaukat, Syed Muhammad Anwar:
Lung Nodule-SSM: Self-Supervised Lung Nodule Detection and Classification in Thoracic CT Images. 1-4 - Gabriel Ramírez-Larrarte, Sebastián Jaramillo-Isaza, Jefferson Sarmiento-Rojas, Pedro Antonio Aya-Parra:
Calibration of Deterministic Errors in Accelerometer Data of Commercial IMU System. 1-5 - Rafael A. García-Ramírez, Ulises A. Gonzalez-Valadez, Iván Cruz-Aceves, Arturo Hernández Aguirre, Gloria P. Trujillo-Sánchez, Martha Alicia Hernandez-Gonzalez:
Macular Edema Classification using an Evolutionary Binary Regular Expression Strategy. 1-4 - Saptarshi Pani, Asya I. Lyanova, Dmitrii I. Kaplun, Ram Sarkar:
D3EU-Net: A Diffusion and DeepSeek-aided Dual Encoder-based U-Net Model for Microscopic Medical Image Segmentation. 1-4 - Yuhan Shuai, Bramsh Qamar Chandio, Yixue Feng, Julio E. Villalon-Reina, Talia M. Nir, Christopher R. K. Ching, Iyad Ba Gari, Sophia I. Thomopoulos, Jonathan Davis Alibrando, John P. John, Ganesan Venkatasubramanian, Neda Jahanshad, Paul M. Thompson:
Deterministic versus Probabilistic Tractography: Impact on White Matter Bundle Shape. 1-4 - Jully González Huertas, Santiago Silva Rincón, Eduardo Romero Castro, Sandra M. Sanabria-Bohórquez:
MRI curvelet radiomics to predict tau level burden in Alzheimer's Disease. 1-5 - Juan Carlos Andrade Ortíz, Fernando Arámbula Cosío, Jorge Pérez-Gonzalez, Nikol Orlando Castellanos Díaz, Raquel Valdés-Cristerna, Verónica Médina-Bañuelos, Lisbeth Camargo-Marín, Mario E. Guzmán Huerta:
Convolutional Neural Network Trained with Heatmaps for Segmentation and Measurement of the Femur in Fetal Ultrasound. 1-5 - Cristian C. Beltran, Marcela Iregui, Alexander Cerón, Wilson J. Sarmiento, Eduardo Romero:
Customizing Language Models with Structured Context for Cardiovascular Risk Evaluation. 1-4 - Tamoghna Chattopadhyay, Rudransh Kush, Pavithra Senthilkumar, Christopher Patterson, Conor Owens-Walton, Emma J. Gleave, Sophia I. Thomopoulos, Sterling C. Johnson, Elizabeth C. Mormino, Timothy J. Hohman, Paul M. Thompson:
Evaluation of Deep Learning Algorithms to Predict Multiple Dementia-Related Neuropathologies from Brain MRI, Clinical and Genetic Data. 1-4 - Tal Shaharabany, Lior Wolf:
WS-SAM: Segment Anything with Sparse Prompts for Weakly-Supervised Medical Segmentation. 1-5 - I. Perez-Ruiz, J. Perez-Gonzalez, A. Carrera-Pinzón, Romero E., Ruiz H., Benitez Y., Fernando Arámbula Cosío:
Detection of Optimal Echocardiographic Video Segments Using Deep Learning. 1-4 - Davi Israel Abtibol Carvalho, Fábio Cavalcante Binatti, Marly G. F. Costa, Cicero F. F. Costa Filho:
Skin Cancer Detection Using Convolutional Networks and Vision Transformers. 1-5 - Maria Camila Espinal, Steven Laureys, Michel van Putten, Jeannette Hofmeijer, Francisco Gómez, Prejaas Kavish Baldewpersad Tewarie:
Functional connectivity topology in EEG of Comatose Patients. 1-4 - Vanessa Paredes, Gustavo Pineda, Diana Poveda, Eduardo Romero:
Quantifying the age-anthropometry effect on spatio-temporal gait dynamics. 1-5 - Fabián Cano, Mauricio Caviedes, Ruben Acosta, Fabio A. González, Eduardo Romero:
Automatic Stratification of Gastric Intestinal Metaplasia by a Latent Continuous Representation. 1-5 - Juan David Cruz Useche, Jairo David Cuero, Angel Cruz-Roa:
Exploration Of Microscopy Image Super-Resolution Approach For Histopathology Using Deep Learning. 1-4 - Elina Huerfano, Manuel Huerfano, Miguel Barreto:
Analysis and Segmentation of Hip Cartilage in MR Arthrography. 1-5 - Cristina Jiménez-Jara, Rodrigo Salas, Rienzi A. Diaz-Navarro, Julio Sotelo:
Radiomic Features Extraction from CMR perfusion imaging to evaluate ischemic damage and ventricular function in coronary artery disease. 1-4 - Neha Yadav, Xiaomeng Lei, Dighvijay Giri, Steven Y. Cen, Joshua Levy, Kristin Jensen, David J. Goodenough, Bino A. Varghese:
Understanding Effects of Scan Mode, Tilt, and Radiation Dose on CT Radiomic Metrics. 1-4
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