IEEE International Symposium on Computer-Based Medical Systems

CBMS

CORE rank

CORE rank (raw)

Fields of research

Applied Computing · Human-Centred Computing · Machine Learning

Papers indexed

3,392

1988–2025

Best Machine Learning conferences Best Human-Computer Interaction conferences Best Applied Computing conferences

Papers per year

1988186 peak2025

Most published authors

CBMS papers

3,392 records sourced from DBLP. Search titles, filter by year, sort by recency.

Year	Title	Authors
2019	BD2Decide: Big Data and Models for Personalized Head and Neck Cancer Decision Support.	Laura Lopez-Perez, Liss Hernndez, Manuel Ottaviano, Elena Martinelli, Tito Poli, Lisa Licitra, Mara Teresa Arredondo, Giuseppe Fico
2019	Predicting the Heart Rate Response to Outdoor Running Exercise.	Xiaoli Liu, Xiang Su, Satu Tamminen, Topi Korhonen, Juha Rning
2019	How to Automatically Identify Regions of Interest in High-Resolution Images of Lung Biopsy for Interstitial Fibrosis Diagnosis.	Oscar Cuadros Linares, Bruno S. Faial, Paulo Barbosa, Bernd Hamann, Alexandre Todorovic Fabro, Agma J. M. Traina
2019	Efficient Hyperparameter Optimization of Convolutional Neural Networks on Classification of Early Pulmonary Nodules.	Lucas Lima, Jos Ferreira, Marcelo Costa Oliveira
2019	Inferential Reasoning Driving Clinical Diagnosis: Suggestions for New Assessment Approaches.	Caroline Leroy, Yvonne Kammerer, Uwe Oestermeier, Karsten Bringer, Michael Bitzer, Peter Gerjets
2019	Collaborative Framework for a Whole-Slide Image Viewer.	Rui Lebre, Rui Jesus, Pedro Nunes, Carlos Costa
2019	DESIREE DEMO - A Web-Based Software Ecosystem for the Personalized, Collaborative and Multidisciplinary Management of Primary Breast Cancer.	Nekane Larburu, Naiara Muro, Ivn Maca
2019	Breast Cancer Digital Patient Model to Capture and Visualize Real World Data.	Nekane Larburu, Mnica Arre, Ivn Maca, Jon Kerexeta, Naiara Muro
2019	Assessing K-Nearest Neighbours Algorithm for Simple, Interpretable Time-to-Event Survival Predictions Over a Range of Simulated Datasets.	Pavel Kroupa, Caroline Morton, Kerlann Le Calvez, Matt Williams
2019	iASiS: Towards Heterogeneous Big Data Analysis for Personalized Medicine.	Anastasia Krithara, Fotis Aisopos, Vassiliki Rentoumi, Anastasios Nentidis, Konstantinos Bougiatiotis, Maria-Esther Vidal, Ernestina Menasalvas, Alejandro Rodrguez Gonzlez, Eleftherios Samaras, Peter Garrard, Maria Torrente, Mariano Provencio Pulla, Nikos Dimakopoulos, Rui Mauricio, Jordi Rambla De Argila, Gian Gaetano Tartaglia, George Paliouras
2019	Design and Implementation of a Scalable Crowdsensing Platform for Geospatial Data of Tinnitus Patients.	Robin Kraft, Ferdinand Birk, Manfred Reichert, Aniruddha Deshpande, Winfried Schlee, Berthold Langguth, Harald Baumeister, Thomas Probst, Myra Spiliopoulou, Rdiger Pryss
2019	De-randomized Meta-Differential Evolution for Calculating and Predicting Glucose Levels.	Tomas Koutny, Antonio Della Cioppa, Ivanoe De Falco, Ernesto Tarantino, Umberto Scafuri, Michal Krcma
2019	Using XDS and FHIR to Support Mobile Access to EHR Information Through Personal Health Apps.	Haridimos Kondylakis, Yannis Petrakis, Svoronos Leivadaros, Galateia Iatraki, Dimitrios G. Katehakis
2019	Developing a Data Infrastructure for Enabling Breast Cancer Women to BOUNCE Back.	Haridimos Kondylakis, Lefteris Koumakis, Dimitrios G. Katehakis, Angelina Kouroubali, Kostas Marias, Manolis Tsiknakis, Panagiotis G. Simos, Evangelos Karademas
2019	Using Acceleration Data for Detecting Temporary Cognitive Overload in Health Care Exemplified Shown in a Pill Sorting Task.	Lukas Kohout, Manuel Butz, Wilhelm Stork
2019	Optic Disc and Cup Segmentation for Glaucoma Characterization Using Deep Learning.	Jongwoo Kim, Loc Q. Tran, Emily Y. Chew, Sameer K. Antani
2019	LDLCT An Instance-Based Framework for Lesion Detection on Lung CT Scans.	Tarun Khajuria, Eman Badr, Mouaz H. Al-Mallah, Sherif Sakr
2019	A Study of the Influence of Textual Features in Learning Medical Prior Authorization.	Gilvan Veras Magalhes Jnior, Joo Paulo Albuquerque Vieira, Roney Lira de Sales Santos, Jardeson Leandro Nascimento Barbosa, Pedro de Alcntara dos Santos Neto, Raimundo Santos Moura
2019	Identifying Diabetic Retinopathy from OCT Images using Deep Transfer Learning with Artificial Neural Networks.	Kh Tohidul Islam, Sudanthi N. R. Wijewickrema, Stephen J. O'Leary
2019	Cluster Hidden Markov Models: An Application to Ecological Momentary Assessment of Schizophrenia.	William Hulme, Charlotte Stockton-Powdrell, Shn Lewis, Glen P. Martin, Sandra Bucci, Bijan Parsia, Alexander J. Casson, Ibrahim Habli, Niels Peek
2019	An Adaptive Anaphylaxis Detection and Emergency Response System.	Gopabandhu Hota, Abhilash Nandy, Kshitiz Goel, Dishank Yadav, Saumo Pal, Ankush Roy
2019	Performance of Data Enhancements and Training Optimization for Neural Network: A Polyp Detection Case Study.	Fredrik Lund Henriksen, Rune Jensen, Hkon Kvale Stensland, Dag Johansen, Michael Alexander Riegler, Pl Halvorsen
2019	LOWER-LIMB FOLLOW-UP: A Surface Electromyography Based Serious Computer Game and Patient Follow-Up System for Lower Extremity Muscle Strengthening Exercises in Physiotherapy and Rehabilitation.	Tugba Gnaydin, Reis Burak Arslan
2019	Mobile Conversational Agents for Stroke Rehabilitation Therapy.	David Griol, Zoraida Callejas
2019	Development of a Non-Invasive Procedure to Early Detect Neonatal Sepsis using HRV Monitoring and Machine Learning Algorithms.	Rafael Gmez, Nuria Garca, Gonzalo Collantes, Francisco Ponce, Pau Redon

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