| 2019 | A Critical Look at Studies Applying Over-Sampling on the TPEHGDB Dataset. Gilles Vandewiele, Isabelle Dehaene, Olivier Janssens, Femke Ongenae, Femke De Backere, Filip De Turck, Kristien Roelens, Sofie Van Hoecke, Thomas Demeester |
| 2019 | A Data-Driven Exploration of Hypotheses on Disease Dynamics. Marcos L. P. Bueno, Arjen Hommersom, Peter J. F. Lucas, Joost G. E. Janzing |
| 2019 | A Machine Learning Approach to Predict Diabetes Using Short Recorded Photoplethysmography and Physiological Characteristics. Chirath Hettiarachchi, Charith Chitraranjan |
| 2019 | A Rule-Based Expert System for Automatic Implementation of Somatic Variant Clinical Interpretation Guidelines. Giovanna Nicora, Ivan Limongelli, Riccardo Cova, Matteo Giovanni Della Porta, Luca Malcovati, Mario Cazzola, Riccardo Bellazzi |
| 2019 | A Semi-supervised Approach to Segment Retinal Blood Vessels in Color Fundus Photographs. Md. Abu Sayed, Sajib Saha, G. M. Atiqur Rahaman, Tanmai K. Ghosh, Yogesan Kanagasingam |
| 2019 | A Semi-supervised Learning Approach for Pan-Cancer Somatic Genomic Variant Classification. Giovanna Nicora, Simone Marini, Ivan Limongelli, Ettore Rizzo, Stefano Montoli, Francesca Floriana Tricomi, Riccardo Bellazzi |
| 2019 | AI in Healthcare: Ethical and Privacy Challenges. Ivana Bartoletti |
| 2019 | AI-Driven Pathology Laboratory Utilization Management via Data- and Knowledge-Based Analytics. Syed Sibte Raza Abidi, Jaber Rad, Ashraf Abusharekh, Patrice C. Roy, William Van Woensel, Samina Raza Abidi, Calvino Cheng, Bryan Crocker, Manal Elnenaei |
| 2019 | Agent-Based Models and Spatial Enablement: A Simulation Tool to Improve Health and Wellbeing in Big Cities. Daniele Pala, John H. Holmes, José Pagán, Enea Parimbelli, Marica Teresa Rocca, Vittorio Casella, Riccardo Bellazzi |
| 2019 | An Automated Fall Detection System Using Recurrent Neural Networks. Francisco Luna-Perejón, Javier Civit-Masot, Isabel Amaya-Rodriguez, Lourdes Duran-Lopez, Juan Pedro Dominguez-Morales, Antón Civit Balcells, Alejandro Linares-Barranco |
| 2019 | Artificial Intelligence in Medicine - 17th Conference on Artificial Intelligence in Medicine, AIME 2019, Poznan, Poland, June 26-29, 2019, Proceedings David Riaño, Szymon Wilk, Annette ten Teije |
| 2019 | Assessing the Effectiveness of Sequences of Treatments Using Sequential Patterns. Maciej Piernik, Joanna Solomiewicz, Arkadiusz Jachnik |
| 2019 | Automatic Alignment of Surgical Videos Using Kinematic Data. Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, François Petitjean, Lhassane Idoumghar, Pierre-Alain Muller |
| 2019 | Automatic Image-Derived Estimation of the Arterial Whole-Blood Input Function from Dynamic Cerebral PET with ^18 F-Choline. Carlos González, Pedro Bibiloni, Manuel González Hidalgo, Arnau Mir, Sebastià Rubí |
| 2019 | Bayesian Clustering for HIV1 Protease Inhibitor Contact Maps. Sandhya Prabhakaran, Julia E. Vogt |
| 2019 | Bayesian Network vs. Cox's Proportional Hazard Model of PAH Risk: A Comparison. Jidapa Kraisangka, Marek J. Druzdzel, Lisa C. Lohmueller, Manreet K. Kanwar, James F. Antaki, Raymond L. Benza |
| 2019 | ChronoNet: A Deep Recurrent Neural Network for Abnormal EEG Identification. Subhrajit Roy, Isabell Kiral-Kornek, Stefan Harrer |
| 2019 | Classifying Small Volumes of Tissue for Real-Time Monitoring Radiofrequency Ablation. Emre Besler, Yearnchee Curtis Wang, Terence Chan, Alan Varteres Sahakian |
| 2019 | Common Misconceptions and Future Directions for AI in Medicine: A Physician-Data Scientist Perspective. Anthony Chang |
| 2019 | Connection Between the Parkinson's Disease Subtypes and Patients' Symptoms Progression. Anita Valmarska, Dragana Miljkovic, Marko Robnik-Sikonja, Nada Lavrac |
| 2019 | Considering Temporal Preferences and Probabilities in Guideline Interaction Analysis. Paolo Terenziani, Antonella Andolina |
| 2019 | Convolutional Recurrent Neural Network for Bubble Detection in a Portable Continuous Bladder Irrigation Monitor. Xiaoying Tan, Gerd Reis, Didier Stricker |
| 2019 | Deep Learning Approach for Pathogen Detection Through Shotgun Metagenomics Sequence Classification. Ying-Feng Hsu, Makiko Ito, Takumi Maruyama, Morito Matsuoka, Nicolas Jung, Yuki Matsumoto, Daisuke Motooka, Shota Nakamura |
| 2019 | Evaluation of Random Forest and Ensemble Methods at Predicting Complications Following Cardiac Surgery. Linda Lapp, Matt-Mouley Bouamrane, Kimberley Kavanagh, Marc Roper, David Young, Stefan Schraag |
| 2019 | External Validation of a "Black-Box" Clinical Predictive Model in Nephrology: Can Interpretability Methods Help Illuminate Performance Differences? Harry Freitas Da Cruz, Boris Pfahringer, Frederic Schneider, Alexander Meyer, Matthieu-P. Schapranow |
| 2019 | Extracting Food-Drug Interactions from Scientific Literature: Tackling Unspecified Relation. Tsanta Randriatsitohaina, Thierry Hamon |
| 2019 | Fully Interactive Lungs Auscultation with AI Enabled Digital Stethoscope. Tomasz Grzywalski, Riccardo Belluzzo, Mateusz Piecuch, Marcin Szajek, Anna Breborowicz, Anna Pastusiak, Honorata Hafke-Dys, Jedrzej Kocinski |
| 2019 | Gated Hidden Markov Models for Early Prediction of Outcome of Internet-Based Cognitive Behavioral Therapy. Negar Safinianaini, Henrik Boström, Viktor Kaldo |
| 2019 | Generating Positive Psychosis Symptom Keywords from Electronic Health Records. Natalia Viani, Rashmi Patel, Robert Stewart, Sumithra Velupillai |
| 2019 | Identification of Patient Prescribing Predicting Cancer Diagnosis Using Boosted Decision Trees. Josephine French, Cong Chen, Katherine Henson, Brian Shand, Patrick Ferris, Josh Pencheon, Sally Vernon, Meena Rafiq, David Howe, Georgios Lyratzopoulos, Jem Rashbass |
| 2019 | Inferring Temporal Phenotypes with Topological Data Analysis and Pseudo Time-Series. Arianna Dagliati, Nophar Geifman, Niels Peek, John H. Holmes, Lucia Sacchi, Seyed Erfan Sajjadi, Allan Tucker |
| 2019 | Interpretable Patient Subgrouping Using Trace-Based Clustering. Antonio López Martínez-Carrasco, Jose M. Juarez, Manuel Campos, Antonio Morales Nicolás, Francisco Palacios, Lucía López-Rodríguez |
| 2019 | Machine Learning and Feature Selection for the Classification of Mental Disorders from Methylation Data. Christopher L. Bartlett, Stephen J. Glatt, Isabelle Bichindaritz |
| 2019 | Mammogram Classification with Ordered Loss. Rami Ben-Ari, Yoel Shoshan, Tal Tlusty |
| 2019 | Mining Compact Predictive Pattern Sets Using Classification Model. Matteo Mantovani, Carlo Combi, Milos Hauskrecht |
| 2019 | MitPlan: A Planning Approach to Mitigating Concurrently Applied Clinical Practice Guidelines. Martin Michalowski, Szymon Wilk, Wojtek Michalowski, Marc Carrier |
| 2019 | Mobile Indoor Localization with Bluetooth Beacons in a Pediatric Emergency Department Using Clustering, Rule-Based Classification and High-Level Heuristics. Patrice C. Roy, William Van Woensel, Andrew Wilcox, Syed Sibte Raza Abidi |
| 2019 | Modelling the Impact of AI for Clinical Decision Support. Mariana R. Neves, D. William R. Marsh |
| 2019 | NONCADO: A System to Prevent Falls by Encouraging Healthy Habits in Elderly People. Elisa Salvi, Silvia Panzarasa, Riccardo Bagarotti, Michela Picardi, Rosangela Boninsegna, Irma Sterpi, Massimo Corbo, Giordano Lanzola, Silvana Quaglini, Lucia Sacchi |
| 2019 | On Predicting the Outcomes of Chemotherapy Treatments in Breast Cancer. Agastya Silvina, Juliana Bowles, Peter S. Hall |
| 2019 | Perspectives on Assurance Case Development for Retinal Disease Diagnosis Using Deep Learning. Chiara Picardi, Ibrahim Habli |
| 2019 | Predicting Patient's Diagnoses and Diagnostic Categories from Clinical-Events in EHR Data. Seyedsalim Malakouti, Milos Hauskrecht |
| 2019 | Pursuing Optimal Prediction of Discharge Time in ICUs with Machine Learning Methods. David Cuadrado, David Riaño, Josep Gómez, María Bodí, Gonzalo Sirgo, Federico Esteban, Rafael García, Alejandro Rodríguez |
| 2019 | Rapid Detection of Heart Rate Fragmentation and Cardiac Arrhythmias: Cycle-by-Cycle rr Analysis, Supervised Machine Learning Model and Novel Insights. Ananya Rajagopalan, Marcus Vollmer |
| 2019 | Recent Context-Aware LSTM for Clinical Event Time-Series Prediction. Jeongmin Lee, Milos Hauskrecht |
| 2019 | Text-to-Movie Authoring of Anatomy Lessons. Vaishnavi Ameya Murukutla, Elie Cattan, Olivier Palombi, Rémi Ronfard |
| 2019 | The Minimum Sampling Rate and Sampling Duration When Applying Geolocation Data Technology to Human Activity Monitoring. Yan Zheng, Paolo Fraccaro, Niels Peek |
| 2019 | Time-to-Birth Prediction Models and the Influence of Expert Opinions. Gilles Vandewiele, Isabelle Dehaene, Olivier Janssens, Femke Ongenae, Femke De Backere, Filip De Turck, Kristien Roelens, Sofie Van Hoecke, Thomas Demeester |
| 2019 | Towards Health 4.0: e-Hospital Proposal Based Industry 4.0 and Artificial Intelligence Concepts. Camilo Cáceres, João Maurício Rosário, Dario Amaya |
| 2019 | Towards the Economic Evaluation of Two Mini-invasive Surgical Techniques for Head&Neck Cancer: A Customizable Model for Different Populations. Elisa Salvi, Enea Parimbelli, Lucia Sacchi, Silvana Quaglini, Erika Maggi, Lorry Duchoud, Gian Luca Armas, John De Almeida, Christian Simon |
| 2019 | Unsupervised Learning from Motion Sensor Data to Assess the Condition of Patients with Parkinson's Disease. Teodora Matic, Somayeh Aghanavesi, Mevludin Memedi, Dag Nyholm, Filip Bergquist, Vida Groznik, Jure Zabkar, Aleksander Sadikov |
| 2019 | Unsupervised Mitral Valve Segmentation in Echocardiography with Neural Network Matrix Factorization. Luca Corinzia, Jesse Provost, Alessandro Candreva, Maurizio Tamarasso, Francesco Maisano, Joachim M. Buhmann |
| 2019 | Using Cluster Ensembles to Identify Psychiatric Patient Subgroups. Vincent Jorn Menger, Marco Spruit, Wouter van der Klift, Floor Scheepers |