| 2021 | A Cautionary Tale on Using Covid-19 Data for Machine Learning. Diogo Nogueira-Leite, João Miguel Alves, Manuel Marques-Cruz, Ricardo Cruz-Correia |
| 2021 | A Multi-instance Multi-label Weakly Supervised Approach for Dealing with Emerging MeSH Descriptors. Nikolaos Mylonas, Stamatis Karlos, Grigorios Tsoumakas |
| 2021 | A Novel Deep Learning Model for COVID-19 Detection from Combined Heterogeneous X-ray and CT Chest Images. Amir Bouden, Ahmed Ghazi Blaiech, Khaled Ben Khalifa, Asma Ben Abdallah, Mohamed Hédi Bedoui |
| 2021 | A Petri Dish for Histopathology Image Analysis. Jerry W. Wei, Arief A. Suriawinata, Bing Ren, Xiaoying Liu, Mikhail Lisovsky, Louis J. Vaickus, Charles Brown, Michael Baker, Naofumi Tomita, Lorenzo Torresani, Jason Wei, Saeed Hassanpour |
| 2021 | A Probabilistic Approach to Extract Qualitative Knowledge for Early Prediction of Gestational Diabetes. Athresh Karanam, Alexander L. Hayes, Harsha Kokel, David M. Haas, Predrag Radivojac, Sriraam Natarajan |
| 2021 | A Topological Data Analysis Mapper of the Ovarian Folliculogenesis Based on MALDI Mass Spectrometry Imaging Proteomics. Giulia Campi, Giovanna Nicora, Giulia Fiorentino, Andrew Smith, Fulvio Magni, Silvia Garagna, Maurizio Zuccotti, Riccardo Bellazzi |
| 2021 | Addressing Extreme Imbalance for Detecting Medications Mentioned in Twitter User Timelines. Davy Weissenbacher, Siddharth Rawal, Arjun Magge, Graciela Gonzalez-Hernandez |
| 2021 | An Application of Recurrent Neural Networks for Estimating the Prognosis of COVID-19 Patients in Northern Italy. Mattia Chiari, Alfonso Emilio Gerevini, Matteo Olivato, Luca Putelli, Nicholas Rossetti, Ivan Serina |
| 2021 | An Experiment Environment for Definition, Training and Evaluation of Electrocardiogram-Based AI Models. Nils Gumpfer, Joshua Prim, Dimitri Grün, Jennifer Hannig, Till Keller, Michael Guckert |
| 2021 | Analysis of Health Screening Records Using Interpretations of Predictive Models. Yuki Oba, Taro Tezuka, Masaru Sanuki, Yukiko Wagatsuma |
| 2021 | Artificial Intelligence in Medicine - 19th International Conference on Artificial Intelligence in Medicine, AIME 2021, Virtual Event, June 15-18, 2021, Proceedings Allan Tucker, Pedro Henriques Abreu, Jaime S. Cardoso, Pedro Pereira Rodrigues, David Riaño |
| 2021 | Attention-Based Explanation in a Deep Learning Model For Classifying Radiology Reports. Luca Putelli, Alfonso Emilio Gerevini, Alberto Lavelli, Roberto Maroldi, Ivan Serina |
| 2021 | Bayesian Deep Active Learning for Medical Image Analysis. Biraja Ghoshal, Stephen Swift, Allan Tucker |
| 2021 | CAncer PAtients Better Life Experience (CAPABLE) First Proof-of-Concept Demonstration. Enea Parimbelli, Matteo Gabetta, Giordano Lanzola, Francesca Polce, Szymon Wilk, David Glasspool, Alexandra Kogan, Roy Leizer, Vitali Gisko, Nicole Veggiotti, Silvia Panzarasa, Rowdy de Groot, Manuel Ottaviano, Lucia Sacchi, Ronald Cornet, Mor Peleg, Silvana Quaglini |
| 2021 | Catching Patient's Attention at the Right Time to Help Them Undergo Behavioural Change: Stress Classification Experiment from Blood Volume Pulse. Aneta Lisowska, Szymon Wilk, Mor Peleg |
| 2021 | Counterfactual Explanations for Survival Prediction of Cardiovascular ICU Patients. Zhendong Wang, Isak Samsten, Panagiotis Papapetrou |
| 2021 | Customized Neural Predictive Medical Text: A Use-Case on Caregivers. John Pavlopoulos, Panagiotis Papapetrou |
| 2021 | Deep Kernel Learning for Mortality Prediction in the Face of Temporal Shift. Miguel Rios, Ameen Abu-Hanna |
| 2021 | Demographic Aware Probabilistic Medical Knowledge Graph Embeddings of Electronic Medical Records. Aynur Guluzade, Endri Kacupaj, Maria Maleshkova |
| 2021 | Detecting Mild Cognitive Impairment Using Smooth Pursuit and a Modified Corsi Task. Alessia Gerbasi, Vida Groznik, Dejan Georgiev, Lucia Sacchi, Aleksander Sadikov |
| 2021 | Detection of Junctional Ectopic Tachycardia by Central Venous Pressure. Xin Tan, Yanwan Dai, Ahmed Imtiaz Humayun, Haoze Chen, Genevera I. Allen, Parag N. Jain |
| 2021 | Detection of Parkinson's Disease Early Progressors Using Routine Clinical Predictors. Marco Cotogni, Lucia Sacchi, Dejan Georgiev, Aleksander Sadikov |
| 2021 | Disentangled Hyperspherical Clustering for Sepsis Phenotyping. Cheng Cheng, Jason N. Kennedy, Christopher W. Seymour, Jeremy C. Weiss |
| 2021 | Effect of Depth Order on Iterative Nested Named Entity Recognition Models. Perceval Wajsbürt, Yoann Taillé, Xavier Tannier |
| 2021 | Enhancing the Value of Counterfactual Explanations for Deep Learning. Yan Jia, John A. McDermid, Ibrahim Habli |
| 2021 | Evaluation of Encoder-Decoder Architectures for Automatic Skin Lesion Segmentation. José G. P. Lima, Geraldo Braz Júnior, João Dallyson Sousa de Almeida, Caio Eduardo Falcão Matos |
| 2021 | Explanations in Digital Health: The Case of Supporting People Lifestyles. Milene Santos Teixeira, Ivan Donadello, Mauro Dragoni |
| 2021 | ICU Days-to-Discharge Analysis with Machine Learning Technology. David Cuadrado, David Riaño |
| 2021 | Identifying Symptom Clusters Through Association Rule Mining. Mikayla Biggs, Carla Floricel, Lisanne van Dijk, Abdallah Sherif Radwan Mohamed, Clifton David Fuller, G. Elisabeta Marai, Xinhua Zhang, Guadalupe Canahuate |
| 2021 | Improving Prediction of Low-Prior Clinical Events with Simultaneous General Patient-State Representation Learning. Matthew Barren, Milos Hauskrecht |
| 2021 | Improving the Performance of Melanoma Detection in Dermoscopy Images Using Deep CNN Features. Himanshu K. Gajera, Mukesh A. Zaveri, Deepak Ranjan Nayak |
| 2021 | MitPlan 2.0: Enhanced Support for Multi-morbid Patient Management Using Planning. Martin Michalowski, Malvika Rao, Szymon Wilk, Wojtek Michalowski, Marc Carrier |
| 2021 | Mobile Aided System of Deep-Learning Based Cataract Grading from Fundus Images. Yaroub Elloumi |
| 2021 | Model Evaluation Approaches for Human Activity Recognition from Time-Series Data. Lee B. Hinkle, Vangelis Metsis |
| 2021 | Modeling and Representation by Graphs of the Reasoning of an Emergency Doctor: Symptom Checker MedVir. Loïc Etienne, Francis Faux, Olivier Roecker |
| 2021 | Modelling and Assessment of One-Drug Dose Titration. David Riaño, Aida Kamisalic |
| 2021 | Monitoring Quality of Life Indicators at Home from Sparse, and Low-Cost Sensor Data. Dympna O'Sullivan, Rilwan Remilekun Basaru, Simone Stumpf, Neil A. M. Maiden |
| 2021 | Neural Clinical Event Sequence Prediction Through Personalized Online Adaptive Learning. Jeongmin Lee, Milos Hauskrecht |
| 2021 | Outlier Detection for GP Referrals in Otorhinolaryngology. Chee Keong Wee, Nathan Wee |
| 2021 | Phenotypes for Resistant Bacteria Infections Using an Efficient Subgroup Discovery Algorithm. Antonio Lopez-Martinez-Carrasco, Jose M. Juarez, Manuel Campos, Bernardo Cánovas-Segura |
| 2021 | Predicting Drug-Drug Interactions from Heterogeneous Data: An Embedding Approach. Devendra Singh Dhami, Siwen Yan, Gautam Kunapuli, David Page, Sriraam Natarajan |
| 2021 | Predicting Kidney Transplant Survival Using Multiple Feature Representations for HLAs. Mohammadreza Nemati, Haonan Zhang, Michael Sloma, Dulat Bekbolsynov, Hong Wang, Stanislaw Stepkowski, Kevin S. Xu |
| 2021 | Predicting Medical Interventions from Vital Parameters: Towards a Decision Support System for Remote Patient Monitoring. Kain Kordian Gontarska, Weronika Wrazen, Jossekin Beilharz, Robert Schmid, Lauritz Thamsen, Andreas Polze |
| 2021 | Primary Care Datasets for Early Lung Cancer Detection: An AI Led Approach. Goce Ristanoski, Jon Emery, Javiera Martinez-Gutierrez, Damien McCarthy, Uwe Aickelin |
| 2021 | Recurrent Neural Network to Predict Renal Function Impairment in Diabetic Patients via Longitudinal Routine Check-up Data. Enrico Longato, Gian Paolo Fadini, Giovanni Sparacino, Angelo Avogaro, Barbara Di Camillo |
| 2021 | Seasonality in Infection Predictions Using Interpretable Models for High Dimensional Imbalanced Datasets. Bernardo Cánovas-Segura, Antonio Morales Nicolás, José M. Juárez, Manuel Campos |
| 2021 | Semantic Web Framework to Computerize Staged Reflex Testing Protocols to Mitigate Underutilization of Pathology Tests for Diagnosing Pituitary Disorders. William Van Woensel, Manal Elnenaei, Syed Ali Imran, Syed Sibte Raza Abidi |
| 2021 | Sensitivity and Specificity Evaluation of Deep Learning Models for Detection of Pneumoperitoneum on Chest Radiographs. Manu Goyal, Judith Austin-Strohbehn, Sean J. Sun, Karen Rodriguez, Jessica M. Sin, Yvonne Y. Cheung, Saeed Hassanpour |
| 2021 | Stratification of Parkinson's Disease Patients via Multi-view Clustering. Anita Valmarska, Nada Lavrac, Marko Robnik-Sikonja |
| 2021 | Sum-Product Networks for Early Outbreak Detection of Emerging Diseases. Moritz Kulessa, Bennet Wittelsbach, Eneldo Loza Mencía, Johannes Fürnkranz |
| 2021 | The Champollion Project: Automatic Structuration of Clinical Features from Medical Records. Oliver Hijano Cubelos, Thomas Balezeau, Julien Guerin |
| 2021 | The Effectiveness of Phrase Skip-Gram in Primary Care NLP for the Prediction of Lung Cancer. Torec T. Luik, Miguel Rios, Ameen Abu-Hanna, Henk C. P. M. van Weert, Martijn C. Schut |
| 2021 | The Myth of Complete AI-Fairness. Virginia Dignum |
| 2021 | TransICD: Transformer Based Code-Wise Attention Model for Explainable ICD Coding. Biplob Biswas, Thai-Hoang Pham, Ping Zhang |
| 2021 | Transformers for Multi-label Classification of Medical Text: An Empirical Comparison. Vithya Yogarajan, Jacob Montiel, Tony Smith, Bernhard Pfahringer |
| 2021 | Uncertainty Estimation in SARS-CoV-2 B-Cell Epitope Prediction for Vaccine Development. Bhargab Ghoshal, Biraja Ghoshal, Stephen Swift, Allan Tucker |
| 2021 | Unsupervised Learning to Subphenotype Heart Failure Patients from Electronic Health Records. Melanie Hackl, Suparno Datta, Riccardo Miotto, Erwin P. Böttinger |
| 2021 | Using Distribution Divergence to Predict Changes in the Performance of Clinical Predictive Models. Mohammadamin Tajgardoon, Shyam Visweswaran |
| 2021 | Using Event-Based Web-Scraping Methods and Bidirectional Transformers to Characterize COVID-19 Outbreaks in Food Production and Retail Settings. Joseph Miano, Charity Hilton, Vasu Gangrade, Mary Pomeroy, Jacqueline Siven, Michael Flynn, Frances Tilashalski |
| 2021 | fMRI Multiple Missing Values Imputation Regularized by a Recurrent Denoiser. David Calhas, Rui Henriques |