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ORCID33rd CBMS 2020: Rochester, MN, USA
- Alba García Seco de Herrera, Alejandro Rodríguez González, KC Santosh, Zelalem Temesgen, Bridget Kane, Paolo Soda:
33rd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2020, Rochester, MN, USA, July 28-30, 2020. IEEE 2020, ISBN 978-1-7281-9429-5
Decision Support and Recommendation Systems
- Ramon Gonçalves Pereira, Giulia Zanon Castro, Pamela Azevedo, Lucas Tôrres, Isabella Zuppo, Túlio Rocha, Augusto Afonso Guerra Júnior:
MCRB: A Multiclassifier Tool for Risk of Bias Assessment in a Systematic Review to Produce Health Evidence to Decision Making. 1-6 - Nesaretnam Barr Kumarakulasinghe, Tobias Blomberg, Jintai Liu, Alexandra Saraiva Leao, Panagiotis Papapetrou:
Evaluating Local Interpretable Model-Agnostic Explanations on Clinical Machine Learning Classification Models. 7-12 - Wallapak Tavanapong, Jung-Hwan Oh, Gavin Kijkul, Jacob Pratt
, Johnny Wong, Piet C. de Groen:
Real-Time Feedback for Colonoscopy in a Multicenter Clinical Trial. 13-18 - Edson A. G. Coutinho, Bruno M. Carvalho:
Evaluation of Real-Time Remote 3D Rendering of Medical Images using GPUs. 19-24 - João Rafael Almeida, Eriksson J. Melicio Monteiro, Luís A. Bastião Silva, Alejandro Pazos Sierra, José Luís Oliveira:
A Recommender System to Help Discovering Cohorts in Rare Diseases. 25-28 - Ritu Shandilya, Sugam Sharma, Johnny Wong:
MATURE: Recommender System for MAndatory FeaTURE Choices. 29-32 - Catherine Inibhunu, Carolyn McGregor:
Identification of Temporal Changes on Patients at Risk of LONS with TPRMine: A Case Study in NICU. 33-36 - Feichen Shen, Andrew Wen, Hongfang Liu:
Enrich Rare Disease Phenotypic Characterizations via a Graph Convolutional Network Based Recommendation System. 37-40
Biomedical Signal and Image Processing, and Machine Vision
- Zhuo Zhao, Hongxiao Wang, Yizhe Zhang, Hao Zheng, Siyuan Zhang, Danny Ziyi Chen:
A Coarse-to-Fine Data Generation Method for 2D and 3D Cell Nucleus Segmentation. 41-46 - Oscar Cuadros Linares, Aurea Soriano-Vargas, Bruno S. Faiçal, Bernd Hamann, Alexandre Todorovic Fabro, Agma J. M. Traina:
Efficient Segmentation of Cell Nuclei in Histopathological Images. 47-52 - André Victória Matias, Allan Cerentini, Luiz Antonio Buschetto Macarini, João Gustavo Atkinson Amorim, Felipe Perozzo Daltoé, Aldo von Wangenheim:
Segmentation, Detection and Classification of Cell Nuclei on Oral Cytology Samples Stained with Papanicolaou. 53-58 - Italo Antonio Duarte de Oliveira, Katia Maria Poloni, Ricardo José Ferrari:
Exploring Hippocampal Asymmetrical Features from Magnetic Resonance Images for the Classification of Alzheimer's Disease. 59-64 - Ekin Yagis, Luca Citi, Stefano Diciotti, Chiara Marzi, Selamawet Workalemahu Atnafu, Alba Garcia Seco de Herrera:
3D Convolutional Neural Networks for Diagnosis of Alzheimer's Disease via Structural MRI. 65-70 - Dharitri Misra, Michael Gill, Janice S. Lee, Sameer K. Antani:
Segmentation of Anterior Tissues in Craniofacial Cone-Beam CT Images. 71-76 - Sangeeta Biswas, Johan Rohdin, Andrii Kavetskyi, Martin Drahanský:
Grading Quality of Color Retinal Images to Assist Fundus Camera Operators. 77-82 - Truong X. Tran, Marc L. Pusey, Ramazan Savas Aygün:
Mobile Fluorescence Imaging and Protein Crystal Recognition. 83-88 - Geisla de Albuquerque Melo, Antonio Carlos Sobieranski, Thelma Alvim Veiga Ludwig, Lucas Ferrari de Oliveira:
Image Classification of Cyanobacteria Microcystis Aeruginosa in raw Water Samples in Curitiba's Region. 89-94 - Maoheng Li, Jinbao Li, Minglei Shu:
Detection of Muscle Fatigue by Fusion of Agonist and Synergistic Muscle sEMG Signals. 95-98 - Huber Nieto-Chaupis:
PROSISY: PRospective Stroke Identification SYstem Based on Cognitive Radio Theory and Machine Learning. 99-103 - Sahana Das, Himadri Mukherjee, KC Santosh, Chanchal Kumar Saha, Kaushik Roy:
Periodic Change Detection in Fetal Heart Rate Using Cardiotocograph. 104-109 - Preethi Srinivasan, Prabhjot Kaur, Aditya Nigam, Arnav Bhavsar:
Semantic Features Aided Multi-scale Reconstruction of Inter-Modality Magnetic Resonance Images. 110-113 - Abdullah-Al-Zubaer Imran, Chao Huang, Hui Tang, Wei Fan, Kenneth M. C. Cheung, Michael Kai Tsun To, Zhen Qian, Demetri Terzopoulos:
Fully-Automated Analysis of Scoliosis from Spinal X-Ray Images. 114-119 - Xuefei Liu, Jinbao Li, Minglei Shu:
Epileptic Seizure Prediction Based on Region Correlation of EEG Signal. 120-125 - Francisco H. S. Silva, Aldísio Gonçalves Medeiros, Elene F. Ohata, Pedro Pedrosa Rebouças Filho:
Classification of Electroencephalogram Signals for Detecting Predisposition to Alcoholism using Computer Vision and Transfer Learning. 126-131
Serious Games for Healthcare
- Gustavo de Paula, Pedro Valentim, Flávio Luiz Seixas, Rosimere Santana, Débora C. Muchaluat-Saade:
Sensory Effects in Cognitive Exercises for Elderly Users: Stroop Game. 132-137 - Luma Wanderley de Oliveira, Sérgio Teixeira de Carvalho:
A Gamification-Based Framework for mHealth Developers in the Context of Self-Care. 138-141 - Walid Merrad, Alexis Héloir, Christophe Kolski, Gloria Mark, Antonio Krüger:
Towards Monitoring Patients with Alzheimer's Disease Activity using Distributed Tangible Tabletops and Dual Reality. 142-145 - Leonardo Souza Silva, Renan Vinicius Aranha, Matheus Alberto de Oliveira Ribeiro, Luiz Ricardo Nakamura, Fátima L. S. Nunes Marques:
Exploring Visual Attention and Machine Learning in 3D Visualization of Medical Temporal Data. 146-151 - Prasetia Utama Putra, Keisuke Shima, Koji Shimatani:
Catchicken: A Serious Game Based on the Go/NoGo Task to Estimate Inattentiveness and Impulsivity Symptoms. 152-157 - Rosula S. J. Reyes, Jedd Emille Chua, Merce Tumibay:
Gamification of Balance Exercises with Intervention Techniques and Feedback System using Intervention, Motivation, and Game Design Analyses: A Pre-Clinical Study. 158-162 - Siddharth Srivastava, Sumit Soman, Astha Rai, Amarjeet Singh Cheema:
An Online Learning Approach for Dengue Fever Classification. 163-168
Data Analysis and Knowledge Discovery
- Feichen Shen, Andrew Wen, Hongfang Liu:
Subgrouping Rare Disease Patients Leveraging the Human Phenotype Ontology Embeddings. 169-172 - Everett Neil Rush, Özgür Özmen, Kathryn Knight, Byung H. Park, Clifton Baker, Makoto Jones, Merry Ward, Jonathan R. Nebeker:
Characterizing Sub-Cohorts via Data Normalization and Representation Learning. 173-176 - Maria Bampa, Panagiotis Papapetrou, Jaakko Hollmén:
A Clustering Framework for Patient Phenotyping with Application to Adverse Drug Events. 177-182 - Lucía Prieto Santamaría, Eduardo P. García del Valle, Gerardo Lagunes García, Massimiliano Zanin, Alejandro Rodríguez González, Ernestina Menasalvas Ruiz, Yuliana Pérez-Gallardo, Gandhi Hernández-Chan:
Analysis of New Nosological Models from Disease Similarities using Clustering. 183-188 - Mengyuan Shang, Jacob Furst, Daniela Stan Raicu:
Assessment of Medical Reports Uncertainty through Topic Modeling and Machine Learning. 189-192 - Manuel Scurti, Ernestina Menasalvas Ruiz, Maria-Esther Vidal, Maria Torrente, Dimitrios Vogiatzis, George Paliouras, Mariano Provencio, Alejandro Rodríguez González:
A Data-Driven Approach for Analyzing Healthcare Services Extracted from Clinical Records. 193-196 - José Maria Clementino, Christian C. Bones, Bruno S. Faiçal, Oscar A. C. Linares, Daniel Mario de Lima, Marco A. Gutierrez, Caetano Traina, Agma J. M. Traina:
Bag-of-Attributes Representation: A Vector Space Model for Electronic Health Records Analysis in OMOP. 197-202 - Huber Nieto-Chaupis:
The Feynman Propagator to Model Molecular Communications Between an Engineered Nanodevice and Beta Cells. 203-207 - Fellipe M. C. Barbosa, Bruno M. Carvalho, Rafael Beserra Gomes:
Accurate Chronic Wound Area Measurement using Structure from Motion. 208-213 - Cassia Isac, José Viterbo, Aura Conci, Marcos Da Silveira:
Ontology-Based Management of Cranial Computed Tomography Reports. 214-219 - Anastasios Nentidis, Konstantinos Bougiatiotis, Anastasia Krithara, Georgios Paliouras:
iASiS Open Data Graph: Automated Semantic Integration of Disease-Specific Knowledge. 220-225 - Suresh Kumar Mukhiya, Usman Ahmed, Fazle Rabbi, Ka I Pun, Yngve Lamo:
Adaptation of IDPT System Based on Patient-Authored Text Data using NLP. 226-232 - Luiz Antonio da Ponte Junior, Débora Christina Muchaluat-Saade, Alexandre P. de Carvalho, Rita de Cássia Soares Alves, Liana Catarina Lima Portugal, Leticia de Oliveira, Mirtes Garcia Pereira:
Identifying Post-Traumatic Stress Symptoms Using Physiological Signals and Data Mining. 233-238 - Ivan Rodrigues de Moura, Francisco José da Silva e Silva, Luciano Reis Coutinho, Ariel Soares Teles:
Mental Health Ubiquitous Monitoring: Detecting Context-Enriched Sociability Patterns Through Complex Event Processing. 239-244 - Alejandro Rodríguez González, Juan Manuel Tuñas, Diego Fernandez Peces-Barba, Ernestina Menasalvas Ruiz, Almudena Jaramillo, Manuel Cotarelo, Antonio Conejo, Amalia Arce, Angel Gil:
Creating a Metamodel Based on Machine Learning to Identify the Sentiment of Vaccine and Disease-Related Messages in Twitter: the MAVIS Study. 245-250 - Rosa Sicilia, Ermanno Cordelli, Paolo Soda:
On Using Meta-Features to Learn Under Class Skew in Biomedical Domains. 251-256 - Margeret Hall, Sharon Obasi, Dhundy Bastola:
Utilizing Oncology-Related Social Media Content to Model Information-Seeking Behaviors Towards a Model of Shared Decision Making. 257-260 - João Rafael Almeida, José Luís Oliveira:
Multi-language Concept Normalisation of Clinical Cohorts. 261-264 - Priya Deshpande, Alexander Rasin, Roselyne Tchoua, Jacob Furst, Daniela Raicu, Sameer K. Antani:
Enhancing Recall Using Data Cleaning for Biomedical Big Data. 265-270 - Paula M. Franceschini, Henrique D. P. dos Santos, Renata Vieira:
Intrinsic and Extrinsic Evaluation of the Quality of Biomedical Embeddings in Different Languages. 271-276 - Ermanno Cordelli, Matteo Tortora, Rosa Sicilia, Paolo Soda:
Time-Window SIQR Analysis of COVID-19 Outbreak and Containment Measures in Italy. 277-282 - Joaquim Santos, Henrique D. P. dos Santos, Renata Vieira:
Fall Detection in Clinical Notes using Language Models and Token Classifier. 283-288 - Zed Lee, Jonathan Rebane, Panagiotis Papapetrou:
Mining Disproportional Frequent Arrangements of Event Intervals for Investigating Adverse Drug Events. 289-292 - John Pavlopoulos, Panagiotis Papapetrou:
Clinical Predictive Keyboard using Statistical and Neural Language Modeling. 293-296 - Matheus Monteiro, Adriano Sarmento:
A HW/SW System to Detect Druses in Retinal Fundus Image for the Diagnostic of Age Related Macular Degeneration. 297-302
Computer-Based Solutions in Clinical Support
- Petter Jakobsen, Enrique Garcia-Ceja, Lena Antonsen Stabell, Ketil J. Oedegaard, Jan Oystein Berle, Vajira Thambawita, Steven Alexander Hicks, Pål Halvorsen, Ole Bernt Fasmer, Michael Alexander Riegler:
PSYKOSE: A Motor Activity Database of Patients with Schizophrenia. 303-308 - Lucas Larcher, Victor Ströele, Mario A. R. Dantas, Michael A. Bauer:
Event-Driven Framework for Detecting Unusual Patterns in AAL Environments. 309-314 - Vinicius C. Ferreira, Débora C. Muchaluat-Saade, Célio Albuquerque:
B-Move: A Transmission Scheduler Based on Human Body Movements for WBANs. 315-320 - Jhonatan Kobylarz Ribeiro, Henrique D. P. dos Santos, Felipe Barletta, Mateus Cichelero da Silva, Renata Vieira, Hugo M. P. Morales, Cristian da Costa Rocha:
A Machine Learning Early Warning System: Multicenter Validation in Brazilian Hospitals. 321-326 - Sami Puustinen, Jani Koskinen, Hana Vrzakova, Piotr Bartczak, Ahmed Hussein, Samu Lehtonen, Antti-Pekka Elomaa:
Optimal Spectral Bands for Instrument Detection in Microscope-Assisted Surgery. 327-331 - Peixian Liang, Jianxu Chen, Yizhe Zhang, Hongxiao Wang, Hao Zheng, Pengfei Gu, Danny Ziyi Chen:
InTracker: An Integrated Detector-Tracker Framework for Cell Detection and Tracking. 332-337 - Sarun Paisarnsrisomsuk, Carolina Ruiz, Sergio A. Alvarez:
Improved Deep Learning Classification of Human Sleep Stages. 338-343 - Huber Nieto-Chaupis:
Nano Currents and the Beginning of Renal Damage: A Theoretical Model. 344-349 - Robin Heckenauer, Jonathan Weber, Cédric Wemmert, Friedrich Feuerhake, Michel Hassenforder, Pierre-Alain Muller, Germain Forestier:
Real-Time Detection of Glomeruli in Renal Pathology. 350-355
Telemedicine Systems
- Mirela T. Cazzolato, Jonathan S. Ramos, Lucas Santiago Rodrigues, Lucas C. Scabora, Daniel Y. T. Chino, Ana Elisa Serafim Jorge, Paulo Mazzoncini de Azevedo Marques, Caetano Traina, Agma J. M. Traina:
Semi-Automatic Ulcer Segmentation and Wound Area Measurement Supporting Telemedicine. 356-361 - Geremy Farr-Wharton, Jane Li, M. Sazzad Hussain, Jill Freyne:
Mobile Supported Health Services: Experiences in Orthopaedic Care. 362-367 - Jee-Eun Kim, Jongin Lee, Healim Kwon, Masahiro Bessho, Ken Sakamura:
Towards Supporting Childhood Atopic Dermatitis Management: A User-Centered Design Approach. 368-373 - Paulo E. S. Barbosa, Alex Figueiredo, Sabrina Souto, Eugenio Gaeta, Eriko Araujo, Tiago Teixeira:
An Open Source Software Architecture and Ready-To-Use Components for Health IoT. 374-379 - Catherine Inibhunu, Carolyn McGregor:
Application of TPRMine Method for Identification of Temporal Changes on Patients with COPD: A Case Study in Telehealth. 380-383 - Rola Harmouche, Aidan Lochbihler, Francis Thibault, Gino De Luca, Catherine Proulx, Jordan Hovdebo:
A Virtual Assistant for Cybersickness Care. 384-387 - Abel González Mondéjar, Greis Francy M. Silva-Calpa, Alberto Barbosa Raposo, Daniel C. Mograbi:
An m-Health Application for Remote Monitoring of People with Bipolar Disorder through Digital Phenotyping and Smartphone Dependency. 388-391 - Christopher Bartlett, Joseph Miles, Nafees Qamar, Lazaro Martinez, Dominick Manno:
TremorTrack: A Privacy-Aware Solution for Monitoring Parkinsonian and Essential Tremors. 392-396 - Jensen Selwyn Joymangul, Aicha Sekhari, Néjib Moalla, Olivier Grasset:
Obstructive Sleep Apnea Compliance: Modeling Home Care Patient Profiles. 397-402 - Karl A. Morris, Tania Giovannetti, Sarah M. Lehman:
Towards The Use of Smart Home Sensor Networks to Generate Predictive Activity Models. 403-408 - Paulo Barbosa, Douglas Santos, Caio Lucena, Leire Bastida, José Fernando Ferreira, Gloria Cea:
The OCARIoT Data Acquisition App. 409-414
Database, App, and Management Systems
- Helmut Spengler, Ingrid Gatz, Florian Kohlmayer, Klaus A. Kuhn, Fabian Prasser:
Improving Data Quality in Medical Research: A Monitoring Architecture for Clinical and Translational Data Warehouses. 415-420 - Sumit Soman, Sudeep Rai, Priyesh Ranjan, Amarjeet Singh Cheema, Praveen K. Srivastava:
Mobile-Augmented Smart Queue Management System for Hospitals. 421-426 - Michael Stach, Robin Kraft, Thomas Probst, Eva-Maria Messner, Yannik Terhorst, Harald Baumeister, Marc Schickler, Manfred Reichert, Lasse Bosse Sander, Rüdiger Pryss:
Mobile Health App Database - A Repository for Quality Ratings of mHealth Apps. 427-432 - Juan F. Arias:
The Benefits of Graph Databases for the Computation of Clinical Quality Measures. 433-436
Privacy, Security & Informed Consent in Healthcare (Special Track)
- Ala Sarah Alaqra, Eleonora Ciceri, Simone Fischer-Hübner, Bridget Kane, Marco Mosconi, Sauro Vicini:
Using PAPAYA for eHealth - Use Case Analysis and Requirements. 437-442 - Ala Sarah Alaqra, Bridget Kane:
Wearable Devices and Measurement Data: An Empirical Study on eHealth and Data Sharing. 443-448 - Denis A. Ulybyshev, Christian Bare, Kristen Bellisario, Vadim Kholodilo, Bradley Northern, Abhijeet Solanki, Timothy O'Donnell:
Protecting Electronic Health Records in Transit and at Rest. 449-452 - Junghoon Chae, Byung H. Park, Makoto Jones, Merry Ward, Jonathan R. Nebeker:
Converting Clinical Pathways to BPM+ Standards: A Case Study in Stable Ischemic Heart Disease. 453-456
Technological and Data-Driven Innovations in Cancer Care (Special Track)
- Cristian Axenie, Daria Kurz:
PRINCESS: Prediction of Individual Breast Cancer Evolution to Surgical Size. 457-462 - Claudio Filipi Goncalves dos Santos, Luis Claudio Sugi Afonso, Clayton Reginaldo Pereira, João Paulo Papa:
BreastNet: Breast Cancer Categorization Using Convolutional Neural Networks. 463-468 - Lincoln F. Silva, Flávio Luiz Seixas, Cristina A. P. Fontes, Débora C. Muchaluat-Saade, Aura Conci:
A Computational Method for Breast Abnormality Detection Using Thermographs. 469-474 - Lenin G. Falconí, María G. Pérez, Wilbert G. Aguilar, Aura Conci:
Transfer Learning and Fine Tuning in Mammogram BI-RADS Classification. 475-480 - Huber Nieto-Chaupis:
Nanodevices Based on Quantum Mechanics and Classsical Electrodynamics as Vascular Endothelial Growth Blockers to Detain Angiogenesis. 481-485 - Ermanno Cordelli, Rosa Sicilia, Domiziana Santucci, Carlo de Felice, Carlo Cosimo Quattrocchi, Bruno Beomonte Zobel, Giulio Iannello, Paolo Soda:
Radiomics-Based Non-Invasive Lymph Node Metastases Prediction in Breast Cancer. 486-491 - Oswaldo Solarte Pabón, Maria Torrente, Alejandro Rodríguez González, Mariano Provencio, Ernestina Menasalvas, Juan Manuel Tuñas:
Lung Cancer Diagnosis Extraction from Clinical Notes Written in Spanish. 492-497 - Leandro A. Passos, Danilo S. Jodas, Luiz Carlos Felix Ribeiro, Thierry Pinheiro Moreira, João Paulo Papa:
O^2PF: Oversampling via Optimum-Path Forest for Breast Cancer Detection. 498-503 - José F. Rodrigues Jr., Bruno Brandoli, Sihem Amer-Yahia:
DermaDL: Advanced Convolutional Neural Networks for Automated Melanoma Detection. 504-509 - George Grispos, Kiran Bastola:
Cyber Autopsies: The Integration of Digital Forensics into Medical Contexts. 510-513
Deep Learning Applications in Medical Care (Special Track)
- Dipayan Das, KC Santosh, Umapada Pal:
Cross-Population Train/Test Deep Learning Model: Abnormality Screening in Chest X-Rays. 514-519 - Bisakh Mondal, Nibaran Das, KC Santosh, Mita Nasipuri:
Improved Skin Disease Classification Using Generative Adversarial Network. 520-525 - Dipam Paul, Alankrita Tewari, Sourodip Ghosh, KC Santosh:
OCTx: Ensembled Deep Learning Model to Detect Retinal Disorders. 526-531 - Jongwoo Kim, Loc Q. Tran:
Ensemble Learning Based on Convolutional Neural Networks for the Classification of Retinal Diseases from Optical Coherence Tomography Images. 532-537 - KC Santosh, Mrinal K. Dhar, Ramina Rajbhandari, Amul Neupane:
Deep Neural Network for Foreign Object Detection in Chest X-Rays. 538-541 - Shara Shami Araújo Alves, Alexis Galeno Matos, Jefferson Silva Almeida, Cilis Aragao Benevides, Caio Cesar Henrique Cunha, Rhuan Victor Crescencio Santiago, Renato Francisco Pereira, Pedro Pedrosa Rebouças Filho:
A New Strategy for the Detection of Diabetic Retinopathy using a Smartphone App and Machine Learning Methods Embedded on Cloud Computer. 542-545 - Andrew Wen, Feichen Shen, Sungrim Moon, Hongfang Liu, Jungwei Fan:
A Deep Profiling and Visualization Framework to Audit Clinical Assessment Variation. 546-551 - João Gustavo Atkinson Amorim, Luiz Antonio Buschetto Macarini, André Victória Matias, Allan Cerentini, Fabiana Botelho de Miranda Onofre, Alexandre Sherlley Casimiro Onofre, Aldo von Wangenheim:
A Novel Approach on Segmentation of AgNOR-Stained Cytology Images Using Deep Learning. 552-557 - Debesh Jha, Michael A. Riegler, Dag Johansen, Pål Halvorsen, Håvard D. Johansen:
DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation. 558-564 - Markus Fox, Mario Taschwer, Klaus Schoeffmann:
Pixel-Based Tool Segmentation in Cataract Surgery Videos with Mask R-CNN. 565-568 - José F. Rodrigues Jr., Gabriel Spadon, Bruno Brandoli, Sihem Amer-Yahia:
Lig-Doctor: Real-World Clinical Prognosis using a Bi-Directional Neural Network. 569-572 - Haohui Liu, Ying-Hwey Nai, Christopher Chen, Anthonin Reilhac:
Deep Learning-Based Estimation of Non-Specific Uptake in Amyloid-PET Images from Structural MRI for Improved Quantification of Amyloid Load in Alzheimer's Disease. 573-578 - Sudha Subramaniam, K. B. Jayanthi, C. Rajasekaran, Ramani Kuchelar:
Deep Learning Architectures for Medical Image Segmentation. 579-584 - Zhihao Jin, Xuechen Li, Linlin Shen, Jinyi Lang, Jie Li, Junxiang Wu, Peng Xu, Jiang Duan:
Automatic Primary Gross Tumor Volume Segmentation for Nasopharyngeal Carcinoma using ResSE-UNet. 585-590 - Ricardo R. Lopes, Marco Mamprin, Jo M. Zelis, Pim A. L. Tonino, Martijn S. van Mourik, Marije M. Vis, Sveta Zinger, Bas A. J. M. de Mol, Peter H. N. de With, Henk A. Marquering:
Inter-Center Cross-Validation and Finetuning without Patient Data Sharing for Predicting Transcatheter Aortic Valve Implantation Outcome. 591-596 - Alexander Ylnner Choquenaira Florez, Lucas C. Scabora, Sihem Amer-Yahia, José Fernando Rodrigues Júnior:
Augmentation Techniques for Sequential Clinical Data to Improve Deep Learning Prediction Techniques. 597-602 - Aldísio Gonçalves Medeiros, Elene F. Ohata, Francisco H. S. Silva, Paulo A. L. Rego, Pedro Pedrosa Rebouças Filho:
An Approach to BI-RADS Uncertainty Levels Classification Via Deep Learning with Transfer Learning Technique. 603-608
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