Search Results - "Marcinkevics, Ricards"

Interpretable and explainable machine learning: A methods‐centric overview with concrete examples by Marcinkevičs, Ričards, Vogt, Julia E.

“…Interpretability and explainability are crucial for machine learning (ML) and statistical applications in medicine, economics, law, and natural sciences and…”
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Interpretable and intervenable ultrasonography-based machine learning models for pediatric appendicitis by Marcinkevičs, Ričards, Reis Wolfertstetter, Patricia, Klimiene, Ugne, Chin-Cheong, Kieran, Paschke, Alyssia, Zerres, Julia, Denzinger, Markus, Niederberger, David, Wellmann, Sven, Ozkan, Ece, Knorr, Christian, Vogt, Julia E

“…Appendicitis is among the most frequent reasons for pediatric abdominal surgeries. Previous decision support systems for appendicitis have focused on clinical,…”
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Using Machine Learning to Predict the Diagnosis, Management and Severity of Pediatric Appendicitis by Marcinkevics, Ricards, Reis Wolfertstetter, Patricia, Wellmann, Sven, Knorr, Christian, Vogt, Julia E

“…Given the absence of consolidated and standardized international guidelines for managing pediatric appendicitis and the few strictly data-driven studies in…”
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Multimodal Remote Home Monitoring of Lung Transplant Recipients during COVID-19 Vaccinations: Usability Pilot Study of the COVIDA Desk Incorporating Wearable Devices by Schuurmans, Macé M, Muszynski, Michal, Li, Xiang, Marcinkevičs, Ričards, Zimmerli, Lukas, Monserrat Lopez, Diego, Michel, Bruno, Weiss, Jonas, Hage, René, Roeder, Maurice, Vogt, Julia E, Brunschwiler, Thomas

“…: Remote patient monitoring (RPM) of vital signs and symptoms for lung transplant recipients (LTRs) has become increasingly relevant in many situations…”
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Machine learning analysis of humoral and cellular responses to SARS-CoV-2 infection in young adults by Marcinkevics, Ricards, Silva, Pamuditha N, Hankele, Anna-Katharina, Dörnte, Charlyn, Kadelka, Sarah, Csik, Katharina, Godbersen, Svenja, Goga, Algera, Hasenöhrl, Lynn, Hirschi, Pascale, Kabakci, Hasan, LaPierre, Mary P, Mayrhofer, Johanna, Title, Alexandra C, Shu, Xuan, Baiioud, Nouell, Bernal, Sandra, Dassisti, Laura, Saenz-de-Juano, Mara D, Schmidhauser, Meret, Silvestrelli, Giulia, Ulbrich, Simon Z, Ulbrich, Thea J, Wyss, Tamara, Stekhoven, Daniel J, Al-Quaddoomi, Faisal S, Yu, Shuqing, Binder, Mascha, Schultheiß, Christoph, Zindel, Claudia, Kolling, Christoph, Goldhahn, Jörg, Seighalani, Bahram Kasmapour, Zjablovskaja, Polina, Hardung, Frank, Schuster, Marc, Richter, Anne, Huang, Yi-Ju, Lauer, Gereon, Baurmann, Herrad, Low, Jun Siong, Vaqueirinho, Daniela, Jovic, Sandra, Piccoli, Luca, Ciesek, Sandra, Vogt, Julia E, Sallusto, Federica, Stoffel, Markus, Ulbrich, Susanne E

“…The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) induces B and T cell responses, contributing to virus neutralization. In a cohort of 2,911…”
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Rapid and reversible control of human metabolism by individual sleep states by Nowak, Nora, Gaisl, Thomas, Miladinovic, Djordje, Marcinkevics, Ricards, Osswald, Martin, Bauer, Stefan, Buhmann, Joachim, Zenobi, Renato, Sinues, Pablo, Brown, Steven A., Kohler, Malcolm

“…Sleep is crucial to restore body functions and metabolism across nearly all tissues and cells, and sleep restriction is linked to various metabolic…”
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Multichannel electrocardiogram diagnostics for the diagnosis of arrhythmogenic right ventricular dysplasia by Marcinkevics, Ricards, O'Neill, James, Law, Hannah, Pervolaraki, Eleftheria, Hogarth, Andrew, Russell, Craig, Stegemann, Berthold, Holden, Arun V, Tayebjee, Muzahir H

“…The identification of arrhythmogenic right ventricular dysplasia (ARVD) from 12-channel standard electrocardiogram (ECG) is challenging. High density ECG data…”
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Learning Medical Risk Scores for Pediatric Appendicitis by Aparicio, Pedro Roig, Marcinkevics, Ricards, Wolfertstetter, Patricia Reis, Wellmann, Sven, Knorr, Christian, Vogt, Julia E.

“…Appendicitis is a common childhood disease, the management of which still lacks consolidated international criteria. In clinical practice, heuristic scoring…”
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Discovery of Important Subsequences in Electrocardiogram Beats Using the Nearest Neighbour Algorithm by Marcinkevics, Ricards, Kelk, Steven, Galuzzi, Carlo, Stegemann, Berthold

“…The classification of time series data is a well-studied problem with numerous practical applications, such as medical diagnosis and speech recognition. A…”
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Exploring Relationships between Cerebral and Peripheral Biosignals with Neural Networks by Hatteland, Alexander H., Marcinkevics, Ricards, Marquis, Renaud, Frick, Thomas, Hubbard, Ilona, Vogt, Julia E., Brunschwiler, Thomas, Ryvlin, Philippe

“…Autonomic peripheral activity is partly governed by brain autonomic centers. However, there is still a lot of uncertainties regarding the precise link between…”
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Introduction to Machine Learning for Physicians: A Survival Guide for Data Deluge by Marcinkevičs, Ričards, Ozkan, Ece, Vogt, Julia E

“…Many modern research fields increasingly rely on collecting and analysing massive, often unstructured, and unwieldy datasets. Consequently, there is growing…”
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Stochastic Concept Bottleneck Models by Vandenhirtz, Moritz, Laguna, Sonia, Marcinkevičs, Ričards, Vogt, Julia E

“…Concept Bottleneck Models (CBMs) have emerged as a promising interpretable method whose final prediction is based on intermediate, human-understandable…”
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Interpretable Models for Granger Causality Using Self-explaining Neural Networks by Marcinkevičs, Ričards, Vogt, Julia E

“…Exploratory analysis of time series data can yield a better understanding of complex dynamical systems. Granger causality is a practical framework for…”
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Debiasing Deep Chest X-Ray Classifiers using Intra- and Post-processing Methods by Marcinkevičs, Ričards, Ozkan, Ece, Vogt, Julia E

“…Deep neural networks for image-based screening and computer-aided diagnosis have achieved expert-level performance on various medical imaging modalities,…”
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Interpretability and Explainability: A Machine Learning Zoo Mini-tour by Marcinkevičs, Ričards, Vogt, Julia E

“…In this review, we examine the problem of designing interpretable and explainable machine learning models. Interpretability and explainability lie at the core…”
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Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable? by Laguna, Sonia, Marcinkevičs, Ričards, Vandenhirtz, Moritz, Vogt, Julia E

“…Recently, interpretable machine learning has re-explored concept bottleneck models (CBM). An advantage of this model class is the user's ability to intervene…”
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Signal Is Harder To Learn Than Bias: Debiasing with Focal Loss by Vandenhirtz, Moritz, Manduchi, Laura, Marcinkevičs, Ričards, Vogt, Julia E

“…Spurious correlations are everywhere. While humans often do not perceive them, neural networks are notorious for learning unwanted associations, also known as…”
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Interpretable and intervenable ultrasonography-based machine learning models for pediatric appendicitis by Marcinkevičs, Ričards, Wolfertstetter, Patricia Reis, Klimiene, Ugne, Chin-Cheong, Kieran, Paschke, Alyssia, Zerres, Julia, Denzinger, Markus, Niederberger, David, Wellmann, Sven, Ozkan, Ece, Knorr, Christian, Vogt, Julia E

“…Medical Image Analysis, 91, 103042 (2024) Appendicitis is among the most frequent reasons for pediatric abdominal surgeries. Previous decision support systems…”
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A Deep Variational Approach to Clustering Survival Data by Manduchi, Laura, Marcinkevičs, Ričards, Massi, Michela C, Weikert, Thomas, Sauter, Alexander, Gotta, Verena, Müller, Timothy, Vasella, Flavio, Neidert, Marian C, Pfister, Marc, Stieltjes, Bram, Vogt, Julia E

“…In this work, we study the problem of clustering survival data $-$ a challenging and so far under-explored task. We introduce a novel semi-supervised…”
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