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35th CBMS 2022: Shenzen, China
- Linlin Shen, Alejandro Rodríguez González, KC Santosh, Zhihui Lai, Rosa Sicilia, João Rafael Almeida, Bridget Kane:
35th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2022, Shenzen, China, July 21-23, 2022. IEEE 2022, ISBN 978-1-6654-6770-4 - Daniel Gómez-Bravo, Aaron García, Guillermo Vigueras
, Belén Ríos-Sánchez, Belén Otero, Roberto Hernández López, María Torrente, Ernestina Menasalvas, Mariano Provencio, Alejandro Rodríguez González:
Subgroup Discovery Analysis of Treatment Patterns in Lung Cancer Patients. 1-7 - Filipa G. Carvalho, Maryam Abbasi
Deep Model for Anticancer Drug Response through Genomic Profiles and Compound Structures. 1-6 - Athanasios Lagopoulos
Measuring the Left Ventricular Ejection Fraction using Geometric Features. 1-6 - Yasmin Abdelghaffar, Ahmed Hashem, Seif Eldawlatly:
Generative Adversarial Networks for Augmenting EEG Data in P300-based Applications: A Comparative Study. 1-6 - Grigorii Shoroshov, Olga V. Senyukova, Dmitry Semenov
MRI Quality Control Algorithm Based on Image Analysis Using Convolutional and Recurrent Neural Networks. 1-4 - Adrián Ayuso Muñoz
REDIRECTION: Generating drug repurposing hypotheses using link prediction with DISNET data. 7-12 - Oswaldo Solarte Pabón, Maria Torrente, Alvaro Garcia-Barragán, Mariano Provencio, Ernestina Menasalvas, Victor Robles:
Deep learning to extract Breast Cancer diagnosis concepts. 13-18 - César Antonio Ortiz Toro
Textural features for automatic detection and categorisation of pneumonia in chest X-ray images. 19-24 - Carlotta Masciocchi
Federated Cox Proportional Hazards Model with multicentric privacy-preserving LASSO feature selection for survival analysis from the perspective of personalized medicine. 25-31 - Lena Mondrejevski
FLICU: A Federated Learning Workflow for Intensive Care Unit Mortality Prediction. 32-37 - Andrea M. Storås, Anders Åsberg
Predicting Tacrolimus Exposure in Kidney Transplanted Patients Using Machine Learning. 38-43 - Felicia Ly Jacobsen, Steven Alexander Hicks, Pål Halvorsen, Michael A. Riegler:
Estimating Predictive Uncertainty in Gastrointestinal Polyp Segmentation. 44-49 - Qin Zhan, Peilin Li, Yongle Wu, Jingchun Huang, Xunde Dong:
A novel CNN model with dense connectivity and attention mechanism for arrhythmia classification. 50-55 - Jens Scheible, Fabian Hofmann, Manfred Reichert, Rüdiger Pryss, Marc Schickler:
Generic Concept for Integrating Voice Assistance Into Smart Therapeutic Interventions. 56-61 - João Rafael Almeida
Combining heterogeneous patient-level data into tranSMART to support multicentre studies. 62-65 - Jan Andre Fagereng, Vajira Thambawita, Andrea M. Storås, Sravanthi Parasa, Thomas de Lange
PolypConnect: Image inpainting for generating realistic gastrointestinal tract images with polyps. 66-71 - Marcos V. N. Bedo, Jonathan S. Ramos, Agma J. M. Traina, Caetano Traina
Wia-Spine: A CBIR environment with embedded radiomic features to assess fragility fractures. 72-77 - Jonathan S. Ramos, Erikson Júlio De Aguiar, Ivar Vargas Belizario
Analysis of vertebrae without fracture on spine MRI to assess bone fragility: A Comparison of Traditional Machine Learning and Deep Learning. 78-83 - Caroline Barcelos Gonçalves, Jefferson R. Souza, Henrique C. Fernandes
CNN optimization using surrogate evolutionary algorithm for breast cancer detection using infrared images. 84-89 - Juliana Wolf Pereira, Marcela Xavier Ribeiro:
Hyperparameter for Deep Learning Applied in Mammogram Image Classification. 90-95 - Carson K. Leung
Deep Learning Based Multi-Label Prediction of Hospitalization for COVID-19 Cases. 96-101 - Alberto Labrada, Buket D. Barkana:
Breast Cancer Diagnosis from Histopathology Images using Supervised Algorithms. 102-107 - Steven Hogue, Adrianna C. Shembel, Xiaohu Guo:
Study of Vocal Muscle Strain with Skin Deformation Tracking System. 108-113 - Ryan Sledzik, Mahdieh Zabihimayvan:
Focal Loss Improves Performance of High-Sensitivity C-Reactive Protein Imbalanced Classification. 114-118 - Md. Kawsher Mahbub, Md. Zakir Hossain Zamil
MobApp4InfectiousDisease: Classify COVID-19, Pneumonia, and Tuberculosis. 119-124 - Zefan Yang, Yi Wang:
Graph-based Regional Feature Enhancing for Abdominal Multi-Organ Segmentation in CT. 125-130 - Yanmei Chen, Jiajun Wang:
TSEUnet: A 3D neural network with fused Transformer and SE-Attention for brain tumor segmentation. 131-136 - Xiaoting Huang, Wenjie Chen, Xueting Liu, Huisi Wu, Zhenkun Wen, Linlin Shen:
Left and Right Ventricular Segmentation Based on 3D Region-Aware U-Net. 137-142 - Jian Lei, Xun Lang, Bingbing He, Songhua Liu
Ultrasonic Carotid Blood Flow Velocimetry Based on Deep Complex Neural Network. 143-148 - Shuo Liu, Zhihui Lai, Heng Kong, Linlin Shen:
Dual Fusion Mass Detector for Mammogram Mass Detection. 149-154 - Junhao Zhu, Yi Zeng, Jianheng Zhou, Xunde Dong:
ECG heartbeat classification based on combined features extracted by PCA, KPCA, AKPCA and DWT. 155-159 - Yunlong Ye, Liang Xiao:
A goal-driven approach for clinical decision conflict detection and its application to the treatment of multimorbidity. 160-165 - Che Wang, Sen Jia, Zhonghong Yan, Yijia Zheng, Shaonan Liu, Haifeng Wang, Dong Liang, Yanjie Zhu:
Online reconstruction of fast dynamic MR imaging using deep low-rank plus sparse network. 166-170 - Chen Cui, Ying Zhang, Shenghua Zhong:
Explanations of Deep Networks on EEG Data via Interpretable Approaches. 171-176 - Reham H. Elnabawy, Slim Abdennadher, Olaf Hellwich, Seif Eldawlatly:
A YOLO-based Object Simplification Approach for Visual Prostheses. 183-186 - Xiang Zhang, Matthew Pike
Ethically Informed Software Process for Smart Health Home. 187-192 - Jialan Tang, Baiying Lei, Weilin Chen:
A Drug Repositioning Approach Using Drug and Disease Features. 193-198 - Yash Pawar, Aron Henriksson, Pontus Hedberg
Leveraging Clinical BERT in Multimodal Mortality Prediction Models for COVID-19. 199-204 - Zhe Wang
The Impact of General Data Protection Regulation on the Australasian Type-1 Diabetes Platform. 205-210 - Elisabetta Torre, Luisa Francini, Ermanno Cordelli, Rosa Sicilia, Silvia Manfrini, Vincenzo Piemonte
Exploiting AI to make insulin pens smart: injection site recognition and lipodystrophy detection. 211-216 - Niccolò McConnell, Alina Dana Miron
Integrating Residual, Dense, and Inception Blocks into the nnUNet. 217-222 - Fellipe Paes Ferreira, Aengus Daly:
ConvNet and machine learning models with feature engineering using motor activity data for schizophrenia classification. 223-227 - Miro Schleicher, Sebastian Hamacher, Mats Naujoks, Kolja Günther, Timo Schmidt, Rüdiger Pryss, Johannes Schobel, Winfried Schlee, Myra Spiliopoulou:
Prediction of declining engagement to self-monitoring apps on the example of tinnitus mHealth data. 228-233 - Linda Lapp
Predicting the Onset of Delirium on Hourly Basis in an Intensive Care Unit Following Cardiac Surgery. 234-239 - Ian Darbey
Analysing Out-patient Demand and Forecasting Theatre Requirements in a Teaching Hospital. 240-245 - Joana Rocha
Attention-driven Spatial Transformer Network for Abnormality Detection in Chest X-Ray Images. 252-257 - Mahbub Ul Alam
Exploring LRP and Grad-CAM visualization to interpret multi-label-multi-class pathology prediction using chest radiography. 258-263 - Arnaldo Pereira
Visualising Time-evolving Semantic Biomedical Data. 264-269 - Giuseppe Placidi
Investigating the Effectiveness of Color Coding in Multimodal Medical Imaging. 270-275 - Jorge Miguel Silva
The value of compression for taxonomic identification. 276-281 - Elineide Santos, Francisco Santos, João Dallyson Sousa de Almeida, Kelson Rômulo Teixeira Aires, João Manuel R. S. Tavares
Diabetic Foot Ulcers Classification using a fine-tuned CNNs Ensemble. 282-287 - Sachintha R. Brandigampala, Abdullah F. Al-Battal, Truong Q. Nguyen:
Data Augmentation Methods For Object Detection and Segmentation In Ultrasound Scans: An Empirical Comparative Study. 288-291 - Meiyan Yue, Zhenhui Dai, Jiahui He
MRI-guided Automated Delineation of Gross Tumor Volume for Nasopharyngeal Carcinoma using Deep Learning. 292-296 - Aref Smiley, Joseph Finkelstein:
Aerobic Exercise System for Home Telerehabilitation. 297-301 - Ziyan Lin, Zihao Chen
Magnitude-image based data-consistent deep learning method for MRI super resolution. 302-305 - Dehua Feng, Xi Chen, Xiaoyu Wang, Jiahuan Lv, Ling Bai, Shu Zhang, Zhiguo Zhou:
Penalized Entropy: a novel loss function for uncertainty estimation and optimization in medical image classification. 306-310 - Sunyong Seo, Sangwook Yoo, Semin Kim
Facial Pore Segmentation Algorithm using Shallow CNN. 311-316 - Nikhil Kumar Tomar, Abhishek Srivastava, Ulas Bagci, Debesh Jha:
Automatic Polyp Segmentation with Multiple Kernel Dilated Convolution Network. 317-322 - Abhishek Srivastava, Nikhil Kumar Tomar, Ulas Bagci, Debesh Jha:
Video Capsule Endoscopy Classification using Focal Modulation Guided Convolutional Neural Network. 323-328 - Shaonan Zhong
Automatic Detection of Prostate Cancer Systemic Lesions Based on Deep Learning and 68Ga-PSMA-11 PET/CT. 329-332 - Abhinandan Panda, Srinivas Pinisetty, Partha S. Roop:
Policy-Based Diabetes Detection using Formal Runtime Verification Monitors. 333-338 - Yanjiao Zhao, Zhihui Lai, Linlin Shen, Heng Kong:
Breast Lesions Segmentation using Dual-level UNet (DL-UNet). 339-344 - Agnimitra Sen, Shyamali Mitra, Sukanta Chakraborty, Debashri Mondal, KC Santosh, Nibaran Das:
Ensemble Framework for Unsupervised Cervical Cell Segmentation. 345-350 - Yi Li, Yuanyuan Zhao, Mingyu Wang, Fei Li, Jia Chen, Yanji Luo, Shi-Ting Feng, Xiaoyi Lin, Bingsheng Huang:
Integrating with Segmentation by Using Multi-Task Learning Improves Classification Performance in Medical Image Analysis. 351-354 - Hong Wu, Yingwen Huo, Yupeng Pan, Zeyan Xu, Rian Huang, Yu Xie, Chu Han, Zaiyi Liu, Yi Wang:
Learning Pre- and Post-contrast Representation for Breast Cancer Segmentation in DCE-MRI. 355-359 - Sijin Luo, Zhehao Luo, Zhiyong Zhan, Guoyuan Liang:
Optimum Thresholding for Medical Brain Images Based on Tsallis Entropy and Bayesian Estimation. 360-365 - Yanling Liu, Yueying Zhou
TcT: Temporal and channel Transformer for EEG-based Emotion Recognition. 366-371 - Wenjian Sun, Dongsheng Wu, Yang Luo, Lu Liu, Hongjing Zhang, Shuang Wu, Yan Zhang, Chenglong Wang, Houjun Zheng, Jiang Shen, Chunbo Luo:
Deep Log-Normal Label Distribution Learning for Pneumoconiosis Staging on Chest Radiographs. 372-376 - Siting Zheng, Xuechen Li, Mingmin Bi, Yuxuan Wang, Haiyan Liu, Xiaoshan Feng, Yunping Fan, Linlin Shen:
Contrastive learning-based Adenoid Hypertrophy Grading Network Using Nasoendoscopic Image. 377-382 - Semin Kim
Semi-automatic Labeling and Training Strategy for Deep Learning-based Facial Wrinkle Detection. 383-388 - Limin Huang, Haijun Lei, Weixin Liu, Zhen Li, Hai Xie, Baiying Lei:
End-to-End Multi-task Learning Regression Network for Fovea Localization in Fundus Images. 389-393 - Sami Puustinen
Towards Clinical Hyperspectral Imaging (HSI) Standards: Initial Design for a Microneurosurgical HSI Database. 394-399 - Liang Xiao:
Towards Evidence-based Argumentation Graph for Clinical Decision Support. 400-405 - Laura Carolina Martínez Esmeral
Patient identification methods based on medical imagery and their impact on patient privacy and open medical data. 406-411 - Uli Niemann
Classification of cardiac cohorts based on morphological and hemodynamic features derived from 4D PC-MRI data. 416-421 - Natalia Mathá, Klaus Schoeffmann, Stephanie Sarny, Doris Putzgruber-Adamitsch, Yosuf El-Shabrawi:
Evaluation of Relevance-Driven Compression of Regular Cataract Surgery Videos. 429-434 - Belén Otero-Carrasco, Aurora Pérez-Pérez
Drug repositioning with gender perspective focused on Adverse Drug Reactions. 435-440 - Matteo Spezialetti, Renata Di Filippo, Ramon Gimenez De Lorenzo
Optimizing Nozzle Travel Time in Proton Therapy. 441-446 - João Rafael Almeida
A secure architecture for exploring patient-level databases from distributed institutions. 447-452 - Richard O. Sinnott, William Hu:
Experiences in Development and Support of a Multi-technology Skin Conditions Clinical Trial Platform. 453-458 - Chiarelli Araújo Vale, Frederico Schardong, Maurício de Vasconcelos Barros, Ricardo Custódio:
Touchless Authentication for Health Professionals: Analyzing the Risks and Proposing Alternatives to Dirty Interfaces. 459-464 - Lúcio Henrik A. Reis, Marcela T. de Oliveira
Fine-grained Encryption for Secure Research Data Sharing. 465-470
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