Tuesday, June 15, 2021: Tutorials and Doctoral Consortium

9:00-13:00      Tutorial: Evaluating Prediction Models    

13:00-14:00     Lunch    


14:00-18:00     Doctoral Consortium



Wednesday, June 16, 2021: Workshops

9:00-13:00      Workshop 1: 12th International Workshop on Knowledge Representation for Health Care - KR4HC 2021     

13:00-14:00    Lunch


14:00-18:00    Workshop 2: Explainable Artificial Intelligence in Healthcare  



Thursday, June 17, 2021: Main conference



Welcome Address (Allan Tucker & Pedro Henriques Abreu)


Invited lecture 1: Transforming healthcare using deep learning - lessons from ophthalmology (Dr Pearse Keane)


Long Presentations


Image Analysis (Chair: Pedro Henriques Abreu)


Jerry Wei, Arief Suriawinata, Bing Ren, Xiaoying Liu, Mikhail Lisovsky, Louis Vaickus, Charles Brown, Michael Baker, Naofumi Tomita, Lorenzo Torresani, Jason Wei and Saeed Hassanpour. A Petri Dish for Histopathology Image Analysis


David Calhas and Rui Henriques. fMRI Multiple Missing Values Imputation Regularized by a Recurrent Denoiser


Predictive Modelling 1 (Chair: Niels Peek)


Mohammadreza Nemati, Haonan Zhang, Michael Sloma, Dulat Bekbolsynov, Hong Wang, Stanislaw Stepkowski and Kevin Xu. Predicting Kidney Transplant Survival using Multiple Feature Representations for HLAs


Moritz Kulessa, Bennet Wittelsbach, Eneldo Loza Mencía and Johannes Fürnkranz. Sum-Product Networks for Early Outbreak Detection of Emerging Diseases


Aneta Lisowska, Szymon Wilk and Mor Peleg. Catching patient’s attention at the right time to help them undergo behavioural change: Stress classification experiment from Blood Volume Pulse


Goce Ristanoski, Jon Emery, Javiera Martinez Gutierrez, Damien McCarthy and Uwe Aickelin. Primary care datasets for early lung cancer detection: an AI led approach


Davy Weissenbacher, Siddharth Rawal, Arjun Magge and Graciela Gonzalez-Hernandez. Addressing Extreme Imbalance for Detecting Medications Mentioned in Twitter User Timelines


Lunch break + Poster Sessions


Long Presentations


Temporal Data Analysis (Chair: Carlo Combi)


Jeong Min Lee and Milos Hauskrecht. Neural Clinical Event Sequence Prediction through Personalized Online Adaptive Learning


Joseph Miano, Charity Hilton, Vasu Gangrade, Mary Pomeroy, Jacqueline Siven, Michael Flynn and Frances Tilashalski. Using Event-based Web-Scraping Methods and Bidirectional Transformers to Characterize COVID-19 Outbreaks in Food Production and Retail Settings


Miguel Angel Rios Gaona. Ameen Abu-Hanna, Deep Kernel Learning for Mortality Prediction in the Face of Temporal Shift


Unsupervised Learning (Chair: Xiaohui Liu)


Melanie Hackl, Suparno Datta, Riccardo Miotto and Erwin Böttinger. Unsupervised Learning to Subphenotype Heart Failure Patients from Electronic Health Records


Anita Valmarska, Nada Lavrač and Marko Robnik-Šikonja Robnik-Šikonja. Stratification of Parkinson's disease patients via multi-view clustering


Planning (Chair: Mar Marcos)


Diogo Nogueira Leite, João Miguel Alves, Manuel Marques da Cruz and Ricardo Cruz Correia. A cautionary tale on using Covid-19 data for Machine Learning


Martin Michalowski, Malvika Rao, Szymon Wilk, Wojtek Michalowski and Marc Carrier. MitPlan 2.0: Enhanced Support for Multi-Morbid Patient Management Using Planning




Poster Presentations 1 (short presentations) Chair: Gregor Stiglic


Yuki Oba, Taro Tezuka, Masaru Sanuki and Yukiko Wagatsuma. Analysis of health screening records using interpretations of predictive models


Cheng Cheng, Christopher Seymour, Jason Kennedy and Jeremy C. Weiss. Disentangled Hyperspherical Clustering for Sepsis Phenotyping


Perceval Wajsburt, Yoann Taille and Xavier Tannier. Effect of depth order on iterative nested named entity recognition models


Himanshu K. Gajera, Mukesh A. Zaveri and Deepak Ranjan Nayak. Improving the Performance of Melanoma Detection in Dermoscopy Images using Deep CNN Features


Yaroub Elloumi. Mobile Aided System of Deep-Learning based Cataract Grading from Fundus Images


Biraja Ghoshal, Stephen Swift and Bhargab Ghoshal. Uncertainty Estimation in SARS-CoV-2 B-cell Epitope Prediction for Vaccine Development


Antonio Lopez-Martinez-Carrasco, Jose M. Juarez, Manuel Campos and Bernardo Canovas-Segura. Phenotypes for multi-resistant bacteria infections using an efficient Subgroup Discovery algorithm


Lee Hinkle and Vangelis Metsis. Model Evaluation Approaches for Human Activity Recognition from Time-Series Data


10 Minute Break


Poster Presentations 2 (short presentations) Chair: Arianna Dagliati


Bernardo Cánovas Segura, Antonio Morales, Jose M. Juarez and Manuel Campos. Seasonality in infection predictions using interpretable models for high dimensional imbalanced datasets


Milene Santos Teixeira, Mauro Dragoni and Ivan Donadello. Explanations in Digital Health: the Case of Supporting People Lifestyles


Kordian Gontarska, Weronika Wrazen, Jossekin Beilharz, Robert Schmid, Lauritz Thamsen and Andreas Polze. Predicting Medical Interventions from Vital Parameters: Towards a Decision Support System for Remote Patient Monitoring


Torec T. Luik, Miguel Rios, Ameen Abu-Hanna, Henk C.P.M. van Weert and Martijn C. Schut. The Effectiveness of Phrase Skip-Gram in Primary Care NLP


Luca Putelli, Alfonso Emilio Gerevini, Alberto Lavelli, Roberto Maroldi and Ivan Serina. Attention-based Explanation in a Deep Learning Model for Classifying Radiology Reports


John Pavlopoulos and Panagiotis Papapetrou. Customised Neural Predictive Medical Text: A Use-Case on Caregivers


Devendra Dhami, Siwen Yan, Gautam Kunapuli, David Page and Sriraam Natarajan. Predicting Drug-Drug Interactions from Heterogeneous Data: An Embedding Approach





Friday, June 18, 2021: Main conference



 Invited lecture 2: Responsible AI: from principles to action (Prof Virginia Dignum)


Long Presentations


Deep Learning (Chair: Pedro Pereira Rodrigues)


Manu Goyal, Judith Austin-Strohbehn, Sean J. Sun, Karen Rodriguez, Jessica M. Sin, Yvonne Y. Cheung and Saeed Hassanpour. Sensitivity and Specificity Evaluation of Deep Learning Models for Detection of Pneumoperitoneum on Chest Radiographs


Mattia Chiari, Alfonso Emilio Gerevini, Matteo Olivato, Luca Putelli, Nicholas Rossetti and Ivan Serina. An application of Recurrent Neural Networks for Estimating the Prognosis of COVID-19 Patients in Northern Italy


Enrico Longato, Gian Paolo Fadini, Giovanni Sparacino, Angelo Avogaro and Barbara Di Camillo. Recurrent Neural Network to Predict Renal Function Impairment in Diabetic Patients via Longitudinal Routine Check-Up Data


Zhendong Wang, Isak Samsten and Panagiotis Papapetrou. Counterfactual Explanations for Survival Prediction of Cardiovascular ICU Patients


Poster Presentations 3 (short presentations) Chair: Enea Parimbelli


Xin Tan, Yanwan Dai, Ahmed Imtiaz Humayun, Haoze Chen, Genevera Allen and Parag Jain. Detection of Junctional Ectopic Tachycardia by Central Venous Pressure


Mikayla Biggs, Carla Floricel, Lisanne Van Dijk, Abdallah S. R. Mohamed, C. Dave Fuller, G. Elisabeta Marai, Xinhua Zhang and Guadalupe Canahuate. Identifying Symptom Clusters from Patient Reported Outcomes through Association Rule Mining


José Guilherme Pereira Lima, Geraldo Braz Junior, João Dallyson Sousa de Almeida and Caio Eduardo Matos Falcão. Evaluation of Encoder-Decoder architectures for Automatic Skin Lesion Segmentation


Biraja Ghoshal and Stephen Swift. Bayesian Deep Active Learning for Medical Image Analysis


Chee Keong Wee and Nathan Wee. Outlier detection for GP referrals in Otorhinolaryngology


Dympna O'Sullivan, Rilwan Basaru, Simone Stumpf and Neil Maiden. Monitoring Quality of Life Indicators at Home from Sparse and Low-Cost Sensor Data


Amir Bouden, Ahmed Ghazi Blaiech, Khaled Ben Khalifa, Asma Ben Abdallah and Mohamed Hédi Bedoui. A Novel Deep Learning Model for COVID-19 Detection from Combined Heterogeneous X-ray and CT Chest Images


Giulia Campi, Giovanna Nicora, Giulia Fiorentino, Andrew Smith, Fulvio Magni, Silvia Garagna, Maurizio Zuccotti and Riccardo Bellazzi. A Topological Data Analysis Mapper of the ovarian folliculogenesis based on MALDI Mass Spectrometry Imaging proteomics


10 Minute Break


Poster Presentations 4 (short presentations) Chair: Szymon Wilk


Nils Gumpfer, Joshua Prim, Dimitri Grün, Jennifer Hannig, Till Keller and Michael Guckert. An Experiment Environment for Definition, Training and Evaluation of Electrocardiogram-Based AI Models


Enea Parimbelli, Matteo Gabetta, Giordano Lanzola, Francesca Polce, Szymon Wilk, David Glasspool, Alexandra Kogan, Roy Leizer, Vitali Gisko, Silvia Panzarasa, Nicole Veggiotti, Rowdy de Groot, Manuel Ottaviano, Lucia Sacchi, Ronald Cornet, Mor Peleg and Silvana Quaglini. CAncer PAtients Better Life Experience (CAPABLE) first proof-of-concept demonstration


Oliver Hijano Cubelos, Thomas Balezeau and Julien Guerin. Automatic Structuration of Clinical Features from Written Health Records


Marco Cotogni, Lucia Sacchi, Dejan Georgiev and Aleksander Sadikov. Detection of Parkinson's Disease Early Progressors Using Routine Clinical Predictors


Yan Jia, John McDermid and Ibrahim Habli. Enhancing the Value of Counterfactual Explanations for Deep Learning


Alessia Gerbasi, Vida Groznik, Dejan Georgiev, Lucia Sacchi and Aleksander Sadikov. Detecting mild cognitive impairment using smooth pursuit and a modified Corsi test


Athresh Karanam, Alexander Hayes, Harsha Kokel, David Haas, Predrag Radivojac and Sriraam Natarajan. A Probabilistic Approach to Extract Qualitative Knowledge for Early Prediction of Gestational Diabetes


Lunch break + Poster Sessions


Long Presentations


Natural Language Processing (Chair: Lucia Sacchi)


Nikolaos Mylonas, Stamatis Karlos and Grigorios Tsoumakas. A multi-instance multi-label weakly-supervised approach for dealing with emerging MeSH descriptors.


Aynur Guluzade, Endri Kacupaj and Maria Maleshkova. Demographic Aware Probabilistic Medical Knowledge Graph Embeddings of Electronic Medical Records


Loic Etienne, Faux Francis and Olivier Roecker. Modeling and graphic representation of the reasoning of an emergency doctor: symptom checker MedVir


Predictive Modelling 2 (Chair: Silvana Quaglini)


David Cuadrado-Gomez and David Riaño. ICU Days-to-Discharge Analysis with Machine Learning Technology


Vithya Yogarajan, Bernhard Pfahringer, Tony Smith and Jacob Montiel. Transformers for Multi-label Classification of Medical Text: An Empirical Comparison


William Van Woensel, Manal Elnenaei, Imran Syed Ali and Syed Sibte Raza Abidi. Semantic Web Framework to Computerize Staged Reflex Testing Protocols to Mitigate Underutilization of Pathology Tests for Diagnosing Pituitary Disorders


Mohammadamin Tajgardoon and Shyam Visweswaran. Using distribution divergence to predict changes in the performance of clinical predictive models




Knowledge Representation (Chair: Martin Michalowski)


David Riaño and Aida Kamisalic. Modelling and Assessment of One-Drug Dose Titration


Biplob Biswas, Thai-Hoang Pham and Ping Zhang. TransICD: Transformer Based Code-wise Attention Model for Explainable ICD Coding


Matthew Barren and Milos Hauskrecht. Improving Prediction of Low-Prior Clinical Events with Simultaneous General Patient-State Representation Learning


Prizes, AIME 2022, Close