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ORCID20th SIPAIM 2024: Antigua, Guatemala
- 20th International Symposium on Medical Information Processing and Analysis, SIPAIM 2024, Antigua, Guatemala, November 13-15, 2024. IEEE 2024, ISBN 979-8-3315-2865-2
- Maria Troncoso-Seguel, Mabel Urrutia, Claudio Bustos, Pamela Guevara, Esteban J. Pino:
How Does Your Brain Process Words? EEG and ET Co-Registration in a Reading Task Among Chilean University Students. 1-4 - Neha Yadav, Andrew Turangan, Huawei Han, Xiaomeng Lei, Darryl H. Hwang, Steven Y. Cen, Joshua Levy, Kristin Jensen, David J. Goodenough, Bino A. Varghese:
Systematic Approach to Identifying Sources of Variation in CT Radiomics: A Phantom Study. 1-4 - Kauê T. N. Duarte, Anik Das, Catherine Lebel, Mariana P. Bento:
Improving Prenatal Alcohol Exposure classification using Data Augmentation in 3D Convolutional Neural Networks. 1-4 - Andrés Escobedo-Gordillo, Orlando Yael Rivas-Scott, Jorge Brieva, Ernesto Moya-Albor, Sandie Cabon, Fabienne Porée, Patrick Pladys:
Non-Contact Respiratory Rate Estimation in Newborns During Quiet Sleep Using Video Magnification Techniques and a 3D Convolutional Neural Network. 1-5 - Sujan Sarkar, Saptarshi Pani, Alexander S. Voznesensky, Dmitrij Kaplun, Ram Sarkar:
SERAU-Net: Snapshot Ensemble-Aided Region-Aware Attention-Based U-Net for Skin Lesion Segmentation. 1-4 - J. Illescas, M. Pérez, Julio Fajardo, A. Lara, F. Reyna:
AI-based Automatic Segmentation of Sinonasal Cavity in Cone-Beam Computed Tomography. 1-4 - Julián Orlando Rodriguez Villamizar, Daniel Felipe Rueda Mariño, David Romo-Bucheli:
Evaluating Regions of Clinical Interest Generated by Deep Recurrent Attention Models in Histological Images. 1-4 - Juan Camilo Bayona Quesada, Angie Julieth Fuentes Barragán, Gabriel Eduardo Perez, David Romo-Bucheli:
Domain Adaptation Strategies Based on Color Normalisation for Histological Image Classification. 1-4 - Sk Rahatul Jannat, Jeiran Choupan, Nasim Sheikh-Bahaei, Steven Y. Cen, Ketki Kinkar, Shubham Arun Gujar, Gaurav Pandey, Bino A. Varghese:
Evaluation of Super Resolution Models for Generating Synthetic 3T T1W Images from 1.5T T1W Scans. 1-6 - Natalia Vidal, Mateus Oliveira Da Silva, Diedre Carmo, Sebastián Navarrete, Pamela Guevara, Letícia Rittner:
Is DL-based Reconstruction for Fiber Orientation Distribution (FOD) Comparable to MSMT-Based FOD for Fiber Bundle Analysis? 1-5 - Santiago Aguilera-González, Diego Renza, Ernesto Moya-Albor:
Evaluation of Dataset Distribution in Biomedical Image Classification Against Image Acquisition Distortions. 1-6 - Jacquelyn Fields, Steven Y. Cen, Xiaomeng Lei, Matthew Chang, Ketki Kinkar, Shubham Arun Gujar, Sandy Lee, Linda H. Larsen, Mary Yamashita, Darryl H. Hwang, Mariam Thomas, Bino A. Varghese:
CEM Radiomics for Distinguishing Benign vs Malignant Lesions in Patients with Invasive Breast Cancer or Benign Breast Lesions. 1-8 - Oscar Diaz-Celis, Juan Torres-Santamaria, Mauricio Caviedes, Marcela Iregui, R. E. Gutiérrez-Carvajal, Eduardo Romero, Angel Cruz-Roa:
Evidence-Based Case Recommendation System for Cardiac Health Diagnosis Using Non-Negative Factorization Data-Driven Similarity Approach. 1-4 - Sebastián Navarrete, Jean-François Mangin, Cecilia Hernández, Pamela Guevara:
Fast White Matter Fiber Clustering Using Variational Autoencoder Latent Space. 1-5 - Erick Franco-Gaona, Maria Susana Avila-Garcia, Iván Cruz-Aceves, Hiram-Efrain Orocio-Garcia, Andrés Escobedo-Gordillo, Jorge Brieva:
Neural Architecture Search Using Trajectory Metaheuristics to Classify Coronary Stenosis. 1-4 - Celine Desoyer, Johannes Proksch, Peter Berger, Christian Baumgartner:
Machine and Deep Learning-Based Detection of the Stapedius Reflex for Automatic Cochlear Implant Fitting. 1-4 - Yixue Feng, Julio E. Villalon-Reina, Talia M. Nir, Bramsh Qamar Chandio, Neda Jahanshad, Paul M. Thompson:
BundleAGE: Predicting White Matter Age using Along-Tract Microstructural Profiles from Diffusion MRI. 1-4 - Sunanda Somu, Alyssa H. Zhu, Siddharth Narula, Neda Jahanshad, Talia M. Nir:
Longitudinal Multi-Site Modeling of Brain Atrophy Trajectories Associated with Amyloid and Tau. 1-5 - Connor Elkhill, Ines A. Cruz-Guerrero, Jiawei Liu, Marius George Linguraru, Allyson Alexander, Brooke French, Antonio R. Porras:
Personalized Phenotype Encoding and Prediction of Pathological Head Development from Cross-Sectional Images. 1-4 - Medha Pappula, Syed Muhammed Anwar:
An ADHD Diagnostic Interface Based on EEG Spectrograms and Deep Learning Techniques. 1-4 - Julio Fajardo, Andrea Lara, Eric Fujiwara, Eric Rohmer:
Optical Fiber Force Myography Sensor for Fatigue Estimation in Functional Electrostimulation-induced Rehabilitation Systems. 1-4 - Joany Rodrigues, Diedre Carmo, Letécia Rittner:
Assessing MedSAM's Generalization to White Matter Hyperintensities in Magnetic Resonance Imaging. 1-5 - Bino A. Varghese, Shubham Arun Gujar, Steven Yong Cen, Xiaomeng Lei, Darryl H. Hwang, Giuseppe Barisano, Nasim Sheikh-Bahaei:
Magnetic Resonance Imaging based Texture Analysis Predicts Conversion to Mild Cognitive Impairment and Alzheimer Disease. 1-7 - Katharine Sweetland, Vinay A. Duddalwar, Bino A. Varghese, Darryl H. Hwang:
Investigating the Effects of Computed Tomography Reconstruction Settings from Multiple Scanners on IBSI Compliant Radiomic Features. 1-21 - Gustavo Garzón, Gysselis Vásquez, Santiago Gómez, Daniel Mantilla, Paúl Camacho, Fabio Martínez:
FLAIR Synthesis Including Ischemic Lesion-Aware Mechanisms from NCCT Sequences. 1-4 - Hareem Nisar, Abhijeet Parida, Syed Muhammad Anwar, Gustavo Nino, Maria C. Rujana, Marius George Linguraru:
Tiny Lungs, Big Challenges: Pediatric and Premature Lung Segmentation using Deep Learning. 1-5 - Farzaneh Dehghani, Nikita Malik, Joanna Lin, Sayeh Bayat, Mariana P. Bento:
Fairness in Healthcare: Assessing Data Bias and Algorithmic Fairness. 1-6 - Andrés Escobedo-Gordillo, Jorge Brieva, Ernesto Moya-Albor, Hiram Ponce, Erick Franco-Gaona, Iván Cruz-Aceves:
Optimal Dataset Size for Fine-Tuning sEMG-Based Hand Gesture Recognition in Rehabilitation Prosthesis. 1-5 - Andrés Munõz, Juan Torres-Santamaria, Marcela Iregui, Eduardo Romero, Angel Cruz-Roa:
Comparative Analysis of Deep Neural Network Architectures for Heart Disease Classification in Electrocardiography Signals. 1-4 - Xènia Puig-Bosch, Machteld J. Boonstra, Miriam Cabrita, Joan Perramon, Sara Munive, Andrea Guala, Vladimír Kincl, Saskia Haitjema, Carina Dantas, Folkert W. Asselbergs, Karim Lekadir:
Requirements for Human-Centered Artificial Intelligence: A Heart Failure Study Across Europe and Latin America. 1-4 - Esmeralda Ruiz Pujadas, Anna Cascarano, Vien Ngoc Dang, Marina Camacho, Angélica Maria Atehortúa Labrador, Karim Lekadir:
A Structural Equation Model Linking Early-Life Stress to Adult Mental and Cardiovascular Disease. 1-4 - Alexander Marlon Paredes Arellano, Eduardo Andre Cuti Riveros, Moises Stevend Meza Rodriguez:
Machine Learning Models for Predicting the Length of ICU Stay Using Perioperative Patterns. 1-4 - Marcela Iregui, Fabián Cano, Bayron Ortiz, Charlems Álvarez Jimenez, Eduardo Romero, Jorge Victorino:
Revisiting JPEG2000 for Efficient and Adaptable Virtual Microscopy. 1-4 - Rahimeh Rouhi, Jeffrey Tanedo, Austin Tapp, Shreyash Zanjal, Kirsty Donald, Victoria Nankabirwa, Sadia Parkar, Salman Osmani, Reda Tabassum, Sidra Kaleem Jafri, Sean C. L. Deoni, Marius George Linguraru, Natasha Leporé:
LF_Deface: An Automated Tool for Defacing Pediatric Brain Low-Field MRI. 1-5 - Rafael A. García-Ramírez, Ulises A. Gonzalez-Valadez, Iván Cruz-Aceves, Gloria P. Trujillo-Sánchez, Sergio E. Solorio-Meza, Martha Alicia Hernandez-Gonzalez:
Automatic Classification of Macular Edema in Retinal Fundus Images based on Deep Belief Networks. 1-4 - Vien Ngoc Dang, Jerónimo Hernández-González, Karim Lekadir:
Understanding Early-Life Stress Impact on Mental-Physical Comorbidity Using Machine Learning. 1-4 - Wesna Simone B. Araujo, Ricardo Cesar G. Landim, Thiago Bulhões da Silva Costa, Elvis Lira da Silva, Gabriela Castellano, Letícia Rittner:
Enhancing fMRS Data Quality and GABA Quantification Using SpectroViT: A Deep Learning Reconstruction Approach. 1-5 - Suellen S. Silva, Joany S. Rodrigues, Paulo Rogério Julio, Simone Appenzeller, Letícia Rittner:
Training a Vision Transformer Model on Shape Signatures for Quality Control of MRI Corpus Callosum Segmentations. 1-5 - Joan Perramon Llussà, Júlia Altarriba Paracolls, Ricard Sanjosé Alemany, Marina Bataller, Núria Pastor Hernández, Unai Sánchez Luque, Karim Lekadir, Polyxeni Gkontra:
Enhancing Heart Failure Management: Integrating AI with Telemonitoring Systems for Advanced Alarm-Based Solutions. 1-4 - Ketki Kinkar, Steven Y. Cen, Shubham Arun Gujar, Rahatul Jannat, Xiaomeng Lei, Jacquelyn Fields, Matthew Chang, Mariam Thomas, Mary Yamashita, Bino A. Varghese:
Automated Detection and Segmentation of Breast Lesions in Contrast-Enhanced Mammograms. 1-5 - Jean C. Polo, Marcela Iregui, Alexander Cerón, Wilson J. Sarmiento, Angel Cruz-Roa, Eduardo Romero, R. E. Gutiérrez-Carvajal:
On the Interpretability of AI Cardiovascular Risk Models. 1-4 - Rosa Y. G. Paccotacya Yanque, Alceu Bissoto, Sandra Avila:
Are Explanations Helpful? A Comparative Analysis of Explainability Methods in Skin Lesion Classifiers. 1-5 - Sixten Heekin, Oscar Lopez-Nunez, Julia Smith, Nicholas Denson, Lee Denson, Alexander Miethke, Jonathan R. Dillman, Emily Miraldi, J. Matthew Kofron, Jasbir Dhaliwal, Lauren Erdman:
Trade-Offs in Deep Learning Model Loss and Configuration for Sparse Histological Segmentation: A Case Study in Pediatric Ileal Histology. 1-8 - Sujan Sarkar, Siddhant Majumder, Diptarka Mandal, Vyacheslav Gulvanskii, Dmitrii Kaplun, Ram Sarkar:
Skin Lesion Classification using a Decentralized Peer-to-Peer Federated Learning Framework. 1-4 - Kristhian Aguilar, Victor Cavalcante, Celso B. Carvalho, Waldir Sabino, Mateus Oliveira Da Silva:
Automatic Glaucoma Classification and Justification Using a Large and Diverse Dataset. 1-4 - Tamoghna Chattopadhyay, Neha Ann Joshy, Chirag Jagad, Emma J. Gleave, Sophia I. Thomopoulos, Yixue Feng, Julio E. Villalon-Reina, Emily Laltoo, Himanshu Joshi, Ganesan Venkatasubramanian, John P. John, Greg Ver Steeg, José Luis Ambite, Paul M. Thompson:
Comparison of Explainable AI Models for MRI-Based Alzheimer's Disease Classification. 1-4 - Bruna M. Carlos, Lucas T. Menezes, Pedro Felipe Giarusso de Vazquez, Saulo S. Feitosa, Júlia D. Pereira, Larissa L. Pontes, Sara R. M. Almeida, Cassio V. Ruas, Gabriela Castellano:
Brain Symmetry Index Correlates with Time After Stroke and Lower Limb Function. 1-4 - Adan Domínguez-Ruiz, Edgar Omar López-Caudana, Oscar Loyola, Pedro Ponce-Cruz:
Exploring Complex Human-Prosthetic Interactions: Musculoskeletal Models for Biomechanical Analysis. 1-6 - Siddharth Narula, Shruti Prashant Gadewar, Elizabeth Haddad, Alyssa H. Zhu, Sunanda Somu, Iyad Ba Gari, Neda Jahanshad:
Effects of Target Images on Outputs of Style-Transfer Generative Models for Brain MRI Harmonization. 1-5 - Giancarlo López Bustos, Xavier Alexis Murillo Sanchez, Edgar Eduardo Salazar-Flórez:
A Portable Embedded System for Skin Lesions Detection. 1-6 - Jean C. Polo, Juliana V. Castilla, Juan Camilo Torres, Alexander Cerón, Wilson J. Sarmiento, Angel Cruz-Roa, R. E. Gutiérrez-Carvajal, Eduardo Romero:
A Domain Data-Driven Metric to Improve Traditional Visualization and Interaction with ECG Large Databases. 1-4 - Camilo A. Tenjo, Paula C. Moreno, Oscar J. Perdomo:
ViT-Based Automated Detection of Cervical Intraepithelial Neoplasia in Colposcopy Images. 1-4
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