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ORCID19th SIPAIM 2023: Mexico City, Mexico
- 19th International Symposium on Medical Information Processing and Analysis, SIPAIM 2023, Mexico City, Mexico, November 15-17, 2023. IEEE 2023, ISBN 979-8-3503-2523-2
- Márcio Vinícius De Jesus Almeida, Gabriel Santos Martins Dias, Mateus Oliveira Da Silva, Letícia Rittner:
Magnetic Resonance Spectroscopy Fitting through Spectrogram and Vision Transformers. 1-5 - Adrien Foucart
, Arthur Elskens, Olivier Debeir, Christine Decaestecker:
Finding the best channel for tissue segmentation in whole-slide images. 1-4 - Josué Ruano, Diego Bravo, María Jaramillo, Martín Gómez, Javier Pascau, Fabio A. González, Eduardo Romero:
Generating synthetic endoscopy videos following a systematic screening protocol. 1-5 - Mauricio Caviedes, Fabián Cano, David Becerra, Angel Cruz-Roa, Eduardo Romero:
An automatic classification of metaplasia in gastric histopathology images. 1-4 - Yarelis Prieto, Joaquín Molina, Mónica Otero, Jean-François Mangin, Cecilia Hernández, Wael El-Deredy, Pamela Guevara:
Multiscale cortical parcellation based on geodesic distance and hierarchical clustering. 1-5 - F. A. S. Araujo, Nathalia D. Colares, U. P. Carvalho, Cicero F. F. Costa Filho, Marly G. F. Costa:
Plasmodium Life Cycle-Stage Classification on Thick Blood Smear Microscopy Images using Deep Learning: A Contribution to Malaria Diagnosis. 1-4 - John Mutersbaugh, Van Lam, Marius George Linguraur, Syed Muhammad Anwar:
Epileptic Seizure Classification using Multidimensional EEG Spectrograms. 1-4 - Claudio Román, Fernando Henríquez, Andrea Slachevsky, Patricia Lillo, Patricio Riquelme, Pamela Guevara, Wael El-Deredy:
White Matter Bundles Linked to Cognitive Impairment in Alzheimer's Patients and Intermediate Stages. 1-5 - Esteban Avilés, Stefano E. Romero, Benjamín Castañeda:
An Ultrasound Transducer Tracking System Enhanced by Artificial Intelligence: A Camera-Based Approach. 1-4 - A. González, J. Illescas, D. González, M. Pérez, Julio Fajardo, A. Lara:
Near-Infrared Spectroscopy Driven Human-Machine Interface based on Convolutional Neural Networks. 1-4 - Andrés Escobedo-Gordillo, Miguel Sepúlveda, Jesús Villa, Ximena Villanueva, Sebastián García-Casas, Fernando Díaz, Jorge Brieva, Ernesto Moya-Albor, Hiram Ponce:
sEMG based hand gesture recognition for rehabilitation prosthetics based on machine learning methods. 1-5 - Caio Pinheiro Santana, Thays Abreu, Joany Rodrigues, Paulo Rogério Julio, Simone Appenzeller, Letícia Rittner:
DTI-based Corpus Callosum parcellation using the Tensorial Morphological Gradient and Self-Organizing Maps. 1-5 - Nikita Goel, Sophia I. Thomopoulos, Paul M. Thompson:
Predicting Decline in Clinical Assessments of Alzheimer's Disease With Machine Learning and 3D Brain MRI. 1-4 - Anik Das, Kauê T. N. Duarte, Shannon Wong, Youssef Mamoun, Mariana Pinheiro Bento:
Comparative Skull Stripping Techniques on Pediatric Magnetic Resonance Imaging. 1-4 - Alexys Caytano, Sebastian Merino, Hans Trujillo, Benjamín Castañeda, Stefano E. Romero:
Comparison between U-Net and DeepLabV3 for Crawling Waves Sonoelastography approach. 1-4 - Shiyi Wang, Yang Nan, Simon Walsh, Guang Yang:
High Accuracy and Cost-Saving Active Learning: 3D WD-UNet for Airway Segmentation. 1-5 - Diego Lopez-Bernal, David Balderas, Pedro Ponce, Arturo Molina:
Inner speech classification using inter-trial coherence framework for feature extraction. 1-6 - Dhanush Jain Mahaveera, Shubham Arun Gujar, Steven Y. Cen, Xiaomeng Lei, Darryl H. Hwang, Bino A. Varghese:
Pectoral Muscle Segmentation from Digital Mammograms Using a Transformative Approach. 1-5 - Julio E. Villalon-Reina, Alyssa H. Zhu, Talia M. Nir, Sophia I. Thomopoulos, Emily Laltoo, Leila Kushan, Carrie E. Bearden, Neda Jahanshad, Paul M. Thompson:
Large-scale Normative Modeling of Brain Microstructure. 1-5 - German A. Pabon Ochoa, Diana L. Giraldo, Eduardo Romero:
Exploring anatomical brain heterogeneity in subjects with mild cognitive impairment. 1-5 - Lichao Wang, Jiahao Huang, Xiaodan Xing, Yinzhe Wu, Ramyah Rajakulasingam, Andrew D. Scott, Pedro F. Ferreira, Ranil De Silva, Sonia Nielles-Vallespin, Guang Yang:
Style Transfer and Self-Supervised Learning Powered Myocardium Infarction Super-Resolution Segmentation. 1-5 - Hans Trujillo, Sebastian Merino, Alexys Caytano, Benjamín Castañeda, Stefano E. Romero:
Modified Continuous Wavelet Transform Estimator for Crawling Waves Sonoelastography Using Normal Propagation. 1-4 - Katharine Sweetland, Karen Chu, Xiaomeng Lei, Steven Y. Cen, Vinay A. Duddalwar, Darryl H. Hwang, Bino A. Varghese:
Characterizing International Biomarker Standardization Initiative Image Features using Brodatz Textures. 1-5 - M. S. Nascimento, Marly G. F. Costa, Cicero Ferreira Fernandes Costa Filho:
Detection of Malaria Parasites in Thick Blood Smear Images using Shallow Neural Networks and Digital Image Processing Techniques. 1-4 - Hesam Setayesh, Kunyu Li, Shubham Arun Gujar, Xiaomeng Lei, Vinay A. Duddalwar, Steven Y. Cen, Darryl H. Hwang, Bino A. Varghese:
Image Perturbation Analysis to Study the Effect of Noise on Radiomics Metrics: Phantom Study. 1-5 - Natalia Vidal, Sebastián Navarrete, Claudio Román, Josselin Houenou, Jean-François Mangin, Cecilia Hernández, Pamela Guevara:
Comparing White Matter Fiber Bundle Segmentation Methods for Autism Prediction. 1-5 - Jonathan L. Le, Sean S. Kumar, Alireza Ghoreifi, Farshad S. Moghaddam, Hooman Djaladat, Darryl H. Hwang, Vinay A. Duddalwar:
Evaluating Radiologic Metrics of Sarcopenia and Body Fat in Parastomal Hernia Development After Cystectomy and Ileal Conduit Urinary Diversion. 1-6 - Shubham Arun Gujar, Xiaomeng Lei, Steven Y. Cen, Darryl H. Hwang, Bino A. Varghese:
Breast Lesion Classification using Radiomics-derived Regions of Interest on Mammograms. 1-5 - Yixing Wu, Alexander Shieh, Steven Y. Cen, Bino A. Varghese, Darryl H. Hwang, William Wallace, C.-C. Jay Kuo, Vinay A. Duddalwar:
Discriminant Radiomic Feature Selection for PD-L1 Prediction in Clear Cell Renal Cell Carcinoma. 1-5 - Johan Albarracin, Fabián Cano, Eduardo Romero, Angel Cruz-Roa:
A comparative analysis between two convolutional networks architectures for semantic segmentation of histopathology breast cancer images. 1-5 - Yousef Nademi, Sunil Vasu Kalmady, Weijie Sun, Amir Salimi, Abram Hindle, Padma Kaul, Russell Greiner:
Generative Data by β-Variational Autoencoders Help Build Stronger Classifiers: ECG Use Case. 1-7 - Sandra L. Gomez Coronel, Ernesto Moya-Albor, Jorge Brieva, Miguel-Angel Gil-Rios, Iván Cruz-Aceves, Claire Chalopin:
A Hermite Transform based Method for Physiological Signal Watermarking. 1-6 - Felix Martinez-Rios, Luis Alejandro Guillen Alvarez:
A Transfer Learning Applied for Malaria Disease Detection on Blood Smear Images. 1-7 - María Jaramillo, Josué Ruano, Diego Bravo, Sebastian Medina, Martín Gómez, Fabio A. González, Eduardo Romero:
Automatic Localization of Pancreatic Tumoral Regions in Whole Sequences of Echoendoscopy Procedures. 1-5 - Lucas M. Torres, Otavio N. Pessoa, I. V. Correa, E. M. S. Soares, Anne de Souza Oliveira, Marly G. F. Costa, Cicero F. F. Costa Filho:
Identification of Digestive Tract Abnormalities on Endoscopic Images. 1-4 - Christian Escobar Arce, Patricio De La Cuadra Banderas:
Study of hyperparameters in the semantic segmentation of heart sounds. 1-7 - Daniel Colin Garnica, Ramon Cota-Aguiar, Israel Vaca-Palomares, Juan Fernández-Ruiz, Nidiyare Hevia Montiel, Jorge Pérez-Gonzalez:
Machine learning-based classification of children affected by malnutrition using multimodal sMRI and DTI brain images. 1-4 - Leila Nabulsi, Bramsh Qamar Chandio, Genevieve McPhilemy, Fiona M. Martyn, Gloria M. P. Roberts, Brian Hallahan, Udo Dannlowski, Tilo Kircher, Benno Haarman, Philip B. Mitchell, Colm McDonald, Dara M. Cannon, Ole A. Andreassen, Christopher R. K. Ching, Paul M. Thompson:
Multi-Site Statistical Mapping of Along-Tract Microstructural Abnormalities in Bipolar Disorder with Diffusion MRI Tractometry. 1-5 - Rahimeh Rouhi, Jeffrey Tanedo, Iris Miao Wei, Malia Valder, Shreyash Zanjal, Niharika Gajawelli, Marvin D. Nelson, Sean C. L. Deoni, Yalin Wang, Marius George Linguraru, Natasha Leporé:
Automated Segmentation of the Hippocampus in Pediatric Imaging. 1-5 - Eileen Montoya Rodríguez, Jennifer Salguero López, David Becerra, Eduardo Romero Castro:
Estimation of the Survival Time of Ovarian Serous Carcinoma by approximating a Tumor Microenvironment. 1-4 - Dheeraj Komandur, Umang Gupta, Tamoghna Chattopadhyay, Nikhil J. Dhinagar, Sophia I. Thomopoulos, Jiu-Chiuan Chen, Dan Beavers, Greg Ver Steeg, Paul M. Thompson:
Unsupervised harmonization of brain MRI using 3D CycleGANs and its effect on brain age prediction. 1-5 - Katharine Sweetland, Karen Chu, Xiaomeng Lei, Steven Y. Cen, Vinay A. Duddalwar, Bino A. Varghese, Darryl H. Hwang:
Effects of Reconstruction Filter Kernels in Computed Tomography on Radiomic Image Features. 1-5 - Mario González-Gutiérrez, Esley Torres-García, Adán Guerrero:
Improving FLIM Resolution with Mean-Shift Super-Resolution Microscopy, an analytical approach. 1-6 - Tamoghna Chattopadhyay, Dheeraj Komandur, Jayati Naik, Ketaki Buwa, Saket Ozarkar, Sophia I. Thomopoulos, Paul M. Thompson:
Can Structural MRIs be used to Detect Amyloid Positivity using Deep Learning? 1-4 - Diego Mellado, Marvin Querales, Julio Sotelo, Eduardo Godoy, Fabian Pardo, Scarlett Lever, Stéren Chabert, Rodrigo Salas:
A Deep Learning Classifier Using Sliding Patches For Detection of Mammographical Findings. 1-5 - Andrés Romero-Arellano, Ernesto Moya-Albor, Alexia E. Pérez-Echeverría, Sandra L. Gomez Coronel, Jorge Brieva:
A Photoplethysmography Signal Encryption Approach Based on the Modular Derivative and Langton's Ant. 1-5 - Lichao Wang, Jiahao Huang, Xiaodan Xing, Guang Yang:
Hybrid Swin Deformable Attention U-Net for Medical Image Segmentation. 1-5 - Arthur Elskens, Adrien Foucart, Egor Zindy, Olivier Debeir, Christine Decaestecker:
Assessing Local Descriptors for Feature-Based Registration of Whole-Slide Images. 1-4 - Leonardo Lima, Pedro Santos, Bruno Ribeiro, Wallace Magalhães, Mikaela Kalline M. Serrão, Marly G. F. Costa, Cicero Ferreira Fernandes Costa Filho:
Comparison of Convolutional Neural Network Performances in Pain Facial Expression Recognition. 1-4 - Felipe C. R. Salvagnini, Gerson O. Barbosa, Alexandre X. Falcão, Cid A. N. Santos:
Self-calibrated convolution towards glioma segmentation. 1-4 - Andrés Escobedo-Gordillo, Jorge Brieva, Ernesto Moya-Albor, Hiram Ponce:
A non-contact oxygen saturation estimation using Video Magnification and a Deep Learning method. 1-6 - Lauren Erdman, Mandy Rickard, Kyla N. Velear, Daniel Alvarez, Kunj Sheth, Armando J. Lorenzo, Bo Wang, Anna Goldenberg:
Moment-alignment domain adaptation in the few-shot and low-resource context. 1-6 - Jonathan Tarquino, Angela Duque, Gina Sanchez, Andres Siabatto, Jose Miguel Quijano, David Becerra, Alejandro Vega, Eduardo Romero:
UltraCytomic: A cross-scale exploration to improve risk estimation of the malignant thyroid nodule. 1-5 - Danitza Bermejo, Piero G. Latorre-Quevedo, Carlos Zegarra, Ana Paula Alejos G, Stefano E. Romero, Benjamín Castañeda:
Comparison of interpolation techniques for 3D freehand ultrasound: A phantom experiment. 1-4 - Jully González Huertas, Jonnathan Tarquino Gonzalez, Eduardo Romero:
Exploring ADHD anatomic patterns by a multiresolution curvelet analysis. 1-5 - Diego Bravo, Sebastian Medina, Josué Ruano, María Jaramillo, Martín Gómez, Fabio A. González, Eduardo Romero:
Automated Anatomical Classification and Quality Assessment of Endoscopy by Temporal-Spatial Analysis. 1-5 - Yunier Prieur-Coloma, Felipe Torres, Pamela Guevara, Javier E. Contreras-Reyes, Wael El-Deredy:
Gaussian Processes Spectral Kernels Recover Brain Metastable Oscillatory Modes. 1-4 - Iyad Ba Gari, Shayan Javid, Alyssa H. Zhu, Shruti Prashant Gadewar, Siddharth Narula, Abhinaav Ramesh, Sophia I. Thomopoulos, Lachlan T. Strike, Greig I. de Zubicaray, Katie L. McMahon, Margaret J. Wright, Paul M. Thompson, Talia M. Nir, Neda Jahanshad:
Along-Tract Parameterization of White Matter Microstructure using Medial Tractography Analysis (MeTA). 1-5 - Andrés Felipe Carrera-Pinzón, Leonard Toro-Quitian, Marcela Iregui Guerrero, Angel Cruz-Roa, R. E. Gutiérrez-Carvajal, Eduardo Romero:
Correlation of intraventricular blood patterns with the Ejection Fraction in ultrasound images. 1-4 - Leonard Toro-Quitian, Juan Camilo Torres, Andrés Felipe Carrera-Pinzón, R. E. Gutiérrez-Carvajal, Marcela Iregui Guerrero, Angel Cruz-Roa, Carlos Órtiz Davila, Eduardo Romero:
Automatic estimation of the ejection fraction from diastole and systole ultrasound images by a simplified end-to-end U-Net neural network. 1-5 - Abhijot S. Sidhu, Talal H. Shahid, Kauê T. N. Duarte, Rachel J. Sharkey, Cheryl R. McCreary, Bradley G. Goodyear, Richard Frayne:
Default Mode Network Segregation Decreases in Healthy Brain Aging. 1-4 - Stefano E. Romero, Emilio J. Ochoa, Benjamín Castañeda:
Automatic Region of Interest Detection as a Complement for Reverberant Shear Wave Elastography Assessment in Foot. 1-4 - Miguel-Angel Gil-Rios, Iván Cruz-Aceves, Claire Chalopin, Jorge Brieva, Sandra L. Gomez Coronel, Ernesto Moya-Albor:
Classification of Coronary Stenosis using a Support Vector Machine with Automatic Parameter Tuning. 1-4 - Alfredo Gonzalez-Ruiz, Armando Ortiz-Prado, Ismeli Alfonso-Lopez, Roberto Gonzalez-Ojeda:
In Vivo Human Vertebra Image Reconstruction and Mechanical Simulation. 1-6
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last updated on 2024-12-19 22:20 CET by the dblp team
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