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检索条件"机构=Biomedical Data Science and Machine Learning Group"
283 条 记 录,以下是171-180 订阅
排序:
DORA: Exploring Outlier Representations in Deep Neural Networks
arXiv
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arXiv 2022年
作者: Bykov, Kirill Deb, Mayukh Grinwald, Dennis Müller, Klaus-Robert Höhne, Marina M.-C. Potsdam Germany Technical University of Berlin Berlin Germany Machine Learning Group Technical University of Berlin Berlin Germany BIFOLD – Berlin Institute for the Foundations of Learning and Data Berlin Germany Department of Artificial Intelligence Korea University Seoul136-713 Korea Republic of Max Planck Institut für Informatik Saarbrücken66123 Germany Google Research Brain Team Berlin Germany Department of Computer Science University of Potsdam Germany Department of Physics and Technology UiT Arctic University of Norway Norway
Deep Neural Networks (DNNs) excel at learning complex abstractions within their internal representations. However, the concepts they learn remain opaque, a problem that becomes particularly acute when models unintenti... 详细信息
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Efficient hierarchical Bayesian inference for spatio-temporal regression models in neuroimaging
arXiv
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arXiv 2021年
作者: Hashemi, Ali Gao, Yijing Cai, Chang Ghosh, Sanjay Müller, Klaus-Robert Nagarajan, Srikantan S. Haufe, Stefan Uncertainty Inverse Modeling and Machine Learning Group Technische Universität Berlin Germany Machine Learning Group Technische Universität Berlin Germany Department of Radiology and Biomedical Imaging University of California San Francisco United States National Engineering Research Center for E-Learning Central China Normal University China BIFOLD – Berlin Institute for the Foundations of Learning and Data Berlin Germany Department of Artificial Intelligence Korea University Korea Republic of Max Planck Institute for Informatics Saarbrücken Germany Physikalisch-Technische Bundesanstalt Berlin Germany Charité – Universitätsmedizin Berlin Germany Bernstein Center for Computational Neuroscience Berlin Germany
Several problems in neuroimaging and beyond require inference on the parameters of multi-task sparse hierarchical regression models. Examples include M/EEG inverse problems, neural encoding models for task-based fMRI ... 详细信息
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Impact of noise on inverse design: The case of NMR spectra matching
arXiv
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arXiv 2023年
作者: Lemm, Dominik von Rudorff, Guido Falk von Lilienfeld, O. Anatole University of Vienna Faculty of Physics Kolingasse 14-16 ViennaAT-1090 Austria University of Vienna Vienna Doctoral School in Physics Boltzmanngasse 5 ViennaAT-1090 Austria University Kassel Department of Chemistry Heinrich-Plett-Str.40 Kassel34132 Germany Heinrich-Plett-Straße 40 Kassel34132 Germany Departments of Chemistry Materials Science and Engineering and Physics University of Toronto St. George Campus TorontoON Canada Vector Institute for Artificial Intelligence TorontoONM5S 1M1 Canada Machine Learning Group Technische Universität Berlin Institute for the Foundations of Learning and Data Berlin10587 Germany
Despite its fundamental importance and widespread use for assessing reaction success in organic chemistry, deducing chemical structures from nuclear magnetic resonance (NMR) measurements has remained largely manual an... 详细信息
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Risk-based decision making: estimands for sequential prediction under interventions
arXiv
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arXiv 2023年
作者: Luijken, Kim Morzywolek, Pawel van Amsterdam, Wouter Cinà, Giovanni Hoogland, Jeroen Keogh, Ruth Krijthe, Jesse Magliacane, Sara van Ommen, Thijs Peek, Niels Putter, Hein van Smeden, Maarten Sperrin, Matthew Wang, Junfeng Weir, Daniala Didelez, Vanessa van Geloven, Nan Department of Epidemiology Julius Center for Health Sciences and Primary Care University Medical Center Utrecht Utrecht Netherlands Department of Applied Mathematics Computer Science and Statistics Ghent University Ghent Belgium Department of Statistics University of Washington Seattle United States Department of Medical Informatics Amsterdam University Medical Centers Amsterdam Netherlands Institute for Logic Language and Computation University of Amsterdam Amsterdam Netherlands Pacmed Amsterdam Netherlands Department of Epidemiology and Data Science Amsterdam University Medical Centers Amsterdam Netherlands Department of Medical Statistics London School of Hygiene & Tropical Medicine Keppel Street London United Kingdom Pattern Recognition and Bio-Informatics Group EEMCS Delft University of Technology Delft Netherlands Amsterdam Machine Learning Lab University of Amsterdam Amsterdam Netherlands Department of Information and Computing Sciences Utrecht University Utrecht Netherlands Division of Informatics Imaging and Data Science Faculty of Biology Medicine and Health University of Manchester Manchester Academic Health Science Centre Manchester United Kingdom Department of Biomedical Data Sciences Leiden University Medical Center Leiden Netherlands Division of Pharmacoepidemiology and Clinical Pharmacology Department of Pharmaceutical Sciences Utrecht University Utrecht Netherlands Department of Biometry and Data Management Leibniz Institute for Prevention Research Epidemiology - BIPS Bremen Germany Faculty of Mathematics/Computer Science University of Bremen Bremen Germany
Prediction models are used amongst others to inform medical decisions on interventions. Typically, individuals with high risks of adverse outcomes are advised to undergo an intervention while those at low risk are adv... 详细信息
来源: 评论
Accurately predicting anticancer peptide using an ensemble of heterogeneously trained classifiers
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Informatics in Medicine Unlocked 2023年 42卷
作者: Azim, Sayed Mehedi Sabab, Noor Hossain Nuri Noshadi, Iman Alinejad-Rokny, Hamid Sharma, Alok Shatabda, Swakkhar Dehzangi, Iman Center for Computational and Integrative Biology Rutgers University Camden 08102 NJ United States Department of Computer Science and Engineering United International University Plot 2 United City Madani Avenue BaddaDhaka 1212 Bangladesh Department of Bioengineering University of California Riverside 92507 CA United States BioMedical Machine Learning Lab The Graduate School of Biomedical Engineering The University of New South Wales (UNSW Sydney) Sydney NSW 2052 Australia UNSW Data Science Hub UNSW Sydney Sydney NSW 2052 Australia Health Data Analytics Program AI-enabled Processes Research Centre Macquarie University Sydney 2109 Australia Institute for Integrated and Intelligent Systems Griffith University Brisbane Australia Laboratory for Medical Science Mathematics RIKEN Center for Integrative Medical Sciences Yokohama 230-0045 Japan Department of Computer Science Rutgers University Camden 08102 NJ United States
The use of therapeutic peptides for the treatment of cancer has received tremendous attention in recent years. Anticancer peptides (ACPs) are considered new anticancer drugs which have several advantages over chemistr... 详细信息
来源: 评论
Region-of-interest guided supervoxel inpainting for self-supervision
arXiv
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arXiv 2020年
作者: Kayal, Subhradeep Chen, Shuai de Bruijne, Marleen Erasmus MC Biomedical Imaging Group Rotterdam Departments of Radiology and Nuclear Medicine Netherlands University of Copenhagen Machine Learning Section Department of Computer Science Denmark
Self-supervised learning has proven to be invaluable in making best use of all of the available data in biomedical image segmentation. One particularly simple and effective mechanism to achieve self-supervision is inp... 详细信息
来源: 评论
Relative energies without electronic perturbations via Alchemical Integral Transform
arXiv
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arXiv 2022年
作者: Krug, Simon León von Rudorff, Guido Falk von Lilienfeld, O. Anatole University of Vienna Computational Materials Physics Kolingasse 14-16 Vienna1090 Austria Machine Learning Group Technische Universität Berlin Institute for the Foundations of Learning and Data Berlin10587 Germany University of California Los Angeles 460 Portola Plaza Los AngelesCA90095 United States Vector Institute for Artificial Intelligence TorontoONM5S 1M1 Canada Departments of Chemistry Materials Science and Engineering and Physics University of Toronto St. George Campus TorontoON Canada
We show that the energy of a perturbed system can be fully recovered from the unperturbed system's electron density. We derive an alchemical integral transform by parametrizing space in terms of transmutations, th... 详细信息
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Spectroscopic detection of pigments in tissues: correlation with tissue aging and cancer development
Spectroscopic detection of pigments in tissues: correlation ...
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2022 International Conference Laser Optics, ICLO 2022
作者: Oliveira, L.M. Goncalves, T.M. Botelho, A.R. Martins, I.S. Silva, H.F. Carneiro, I. Carvalho, S. Henrique, R. Tuchin, V.V. Porto Portugal Center of Innovation in Engineering and Industrial Technology Isep Porto Portugal Department of Electrical and Computer Engineering Porto University-School of Engineering Porto Portugal Department of Pathology and Cancer Biology and Epigenetics Group Portuguese Oncology Institute of Porto Porto Portugal Porto Portugal Viana do Castelo Portugal Dept. of Pathol. and Molecular Immunology Porto University-Institute of Biomedical Sciences Abel Salazar Porto Portugal Science Medical Center Saratov State University Saratov Russia Laboratory of Laser Molecular Imaging and Machine Learning National Research Tomsk State University Tomsk Russia Laboratory of Laser Diagnostics of Technical and Living Systems Institute of Precision Mechanics and Control Frc-Saratov Scientific Centre-of the Russian Academy of Sciences Saratov Russia
The direct calculation of the absorption coefficient spectra of various tissues from spectral measurements allowed to retrieve the contents of melanin and lipofuscin. In the rabbit brain cortex, 1.8 times higher melan... 详细信息
来源: 评论
Evolutionary Monte Carlo of QM properties in chemical space: Electrolyte design
arXiv
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arXiv 2023年
作者: Karandashev, Konstantin Weinreich, Jan Heinen, Stefan Arrieta, Daniel Jose Arismendi von Rudorff, Guido Falk Hermansson, Kersti von Lilienfeld, O. Anatole University of Vienna Faculty of Physics Kolingasse 14-16 WienAT-1090 Austria Vector Institute for Artificial Intelligence TorontoONM5S 1M1 Canada Department of Chemistry-Angström Laboratory Uppsala University Box 538 UppsalaSE-75121 Sweden University Kassel Department of Chemistry Heinrich-Plett-Str.40 Kassel34132 Germany Heinrich-Plett-Strase 40 Kassel34132 Germany Departments of Chemistry Materials Science and Engineering and Physics University of Toronto St. George Campus TorontoON Canada Machine Learning Group Technische Universität Berlin Institute for the Foundations of Learning and Data Berlin10587 Germany
Optimizing a target function over the space of organic molecules is an important problem appearing in many fields of applied science, but also a very difficult one due to the vast number of possible molecular systems.... 详细信息
来源: 评论
Self-supervised sparse to dense motion segmentation
arXiv
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arXiv 2020年
作者: Kardoost, Amirhossein Ho, Kalun Ochs, Peter Keuper, Margret Data and Web Science Group University of Mannheim Germany Fraunhofer Center Machine Learning Germany Fraunhofer ITWM Competence Center HPC Kaiserslautern Germany Mathematical Optimization Group Saarland University Germany
Observable motion in videos can give rise to the definition of objects moving with respect to the scene. The task of segmenting such moving objects is referred to as motion segmentation and is usually tackled either b... 详细信息
来源: 评论