Lars Kaderali

36 papers Journal 29Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Correction: Multi-modal dataset creation for federated learning with DICOM-structured reports.
Int. J. Comput. Assist. Radiol. Surg.
Malte Tölle, Lukas Burger, Halvar Kelm, Florian André, Peter Bannas, Gerhard-Paul Diller, Norbert Frey, Philipp Garthe, Stefan Groß, Anja Hennemuth, Lars Kaderali, Nina Krüger, Andreas Leha, Simon Martin, Alexander Meyer, Eike Nagel, Stefan Orwat, Clemens Scherer, Moritz Seiffert, Jan Moritz Seliger, Stefan Simm, Tim Friede, Tim Seidler, Sandy Engelhardt
2026 J jnl
PARASIDE: An automatic paranasal sinus segmentation and structure analysis tool for magnetic resonance imaging.
Comput. Biol. Medicine
Hendrik Kristian Möller, Lukas Krautschick, Robert Graf, Matan Atad, Chia-Jung Busch, Achim Beule, Christian Scharf, Lars Kaderali, Bjoern Menze, Daniel Rueckert, Jan S. Kirschke, Fabian Paperlein
2025 J jnl
Multi-modal dataset creation for federated learning with DICOM-structured reports.
Int. J. Comput. Assist. Radiol. Surg.
Malte Tölle, Lukas Burger, Halvar Kelm, Florian André, Peter Bannas, Gerhard-Paul Diller, Norbert Frey, Philipp Garthe, Stefan Groß, Anja Hennemuth, Lars Kaderali, Nina Krüger, Andreas Leha, Simon Martin, Alexander Meyer, Eike Nagel, Stefan Orwat, Clemens Scherer, Moritz Seiffert, Jan Moritz Seliger, Stefan Simm, Tim Friede, Tim Seidler, Sandy Engelhardt
2025 J jnl
PARASIDE: An Automatic Paranasal Sinus Segmentation and Structure Analysis Tool for MRI.
CoRR
Hendrik Kristian Möller, Lukas Krautschick, Matan Atad, Robert Graf, Chia-Jung Busch, Achim Beule, Christian Scharf, Lars Kaderali, Bjoern H. Menze, Daniel Rueckert, Jan Kirschke, Fabian Schwitzing
2025 J jnl
Real world federated learning with a knowledge distilled transformer for cardiac CT imaging.
npj Digit. Medicine
Malte Tölle, Philipp Garthe, Clemens Scherer, Jan Moritz Seliger, Andreas Leha, Nina Krüger, Stefan Simm, Simon Martin, Sebastian Eble, Halvar Kelm, Moritz Bednorz, Florian André, Peter Bannas, Gerhard-Paul Diller, Norbert Frey, Stefan Groß, Anja Hennemuth, Lars Kaderali, Alexander Meyer, Eike Nagel, Stefan Orwat, Moritz Seiffert, Tim Friede, Tim Seidler, Sandy Engelhardt
2024 J jnl
DiscovEpi: automated whole proteome MHC-I-epitope prediction and visualization.
BMC Bioinform.
Cedric Mahncke, Frieder Schmiedeke, Stefan Simm, Lars Kaderali, Barbara M. Bröker, Ulrike Seifert, Clemens Cammann
2024 J jnl
Federated Foundation Model for Cardiac CT Imaging.
CoRR
Malte Tölle, Philipp Garthe, Clemens Scherer, Jan Moritz Seliger, Andreas Leha, Nina Krüger, Stefan Simm, Simon Martin, Sebastian Eble, Halvar Kelm, Moritz Bednorz, Florian André, Peter Bannas, Gerhard-Paul Diller, Norbert Frey, Stefan Groß, Anja Hennemuth, Lars Kaderali, Alexander Meyer, Eike Nagel, Stefan Orwat, Moritz Seiffert, Tim Friede, Tim Seidler, Sandy Engelhardt
2024 J jnl
Multi-Modal Dataset Creation for Federated~Learning with DICOM Structured Reports.
CoRR
Malte Tölle, Lukas Burger, Halvar Kelm, Florian André, Peter Bannas, Gerhard-Paul Diller, Norbert Frey, Philipp Garthe, Stefan Groß, Anja Hennemuth, Lars Kaderali, Nina Krüger, Andreas Leha, Simon Martin, Alexander Meyer, Eike Nagel, Stefan Orwat, Clemens Scherer, Moritz Seiffert, Jan Moritz Seliger, Stefan Simm, Tim Friede, Tim Seidler, Sandy Engelhardt
2024 J jnl
Towards XAI agnostic explainability to assess differential diagnosis for Meningitis diseases.
Mach. Learn. Sci. Technol.
Aya Messai, Ahlem Drif, Amel Ouyahia, Meriem Guechi, Mounira Rais, Lars Kaderali, Hocine Cherifi
2024 — conf
Transparent AI Models for Meningococcal Meningitis Diagnosis: Evaluating Interpretability and Performance Metrics.
IS
Aya Messai, Ahlem Drif, Amel Ouyahia, Meriem Guechi, Mounira Rais, Lars Kaderali, Hocine Cherifi
2023 J jnl
Mathematical modeling of plus-strand RNA virus replication to identify broad-spectrum antiviral treatment strategies.
PLoS Comput. Biol.
Carolin Zitzmann, Christopher Dächert, Bianca Schmid, Hilde van der Schaar, Martijn van Hemert, Alan S. Perelson, Frank J. M. van Kuppeveld, Ralf Bartenschlager, Marco Binder, Lars Kaderali
2021 J jnl
Computational strategies to combat COVID-19: useful tools to accelerate SARS-CoV-2 and coronavirus research.
Briefings Bioinform.
Franziska Hufsky, Kevin Lamkiewicz, Alexandre Almeida, Abdel Aouacheria, Cecilia N. Arighi, Alex Bateman, Jan Baumbach, Niko Beerenwinkel, Christian Brandt, Marco Cacciabue, Sara Chuguransky, Oliver Drechsel, Robert D. Finn, Adrian Fritz, Stephan Fuchs, Georges Hattab, Anne-Christin Hauschild, Dominik Heider, Marie Hoffmann, Martin Hölzer, Stefan Hoops, Lars Kaderali, Ioanna Kalvari, Max von Kleist, Renó Kmiecinski, Denise Kühnert, Gorka Lasso, Pieter Libin, Markus List, Hannah F. Löchel, Maria Jesus Martin, Roman Martin, Julian O. Matschinske, Alice C. McHardy, Pedro Mendes, Jaina Mistry, Vincent Navratil, Eric P. Nawrocki, Áine Niamh O'toole, Nancy Ontiveros-Palacios, Anton I. Petrov, Guillermo Rangel-Pineros, Nicole Redaschi, Susanne Reimering, Knut Reinert, Alejandro Reyes, Lorna J. Richardson, David L. Robertson, Sepideh Sadegh, Joshua B. Singer, Kristof Theys, Chris Upton, Marius Welzel, Lowri Williams, Manja Marz
2021 J jnl
From heterogeneous healthcare data to disease-specific biomarker networks: A hierarchical Bayesian network approach.
PLoS Comput. Biol.
Ann-Kristin Becker, Marcus Dörr, Stephan B. Felix, Fabian Frost, Hans Jörgen Grabe, Markus M. Lerch, Matthias Nauck, Uwe Völker, Henry Völzke, Lars Kaderali
2021 — conf
Segment, Perceive and Classify - Multitask Learning of the Electrocardiogram in a Single Neural Network.
CinC
Philipp Sodmann, Marcus Vollmer, Lars Kaderali
2020 J jnl
Host factor prioritization for pan-viral genetic perturbation screens using random intercept models and network propagation.
PLoS Comput. Biol.
Simon Dirmeier, Christopher Dächert, Martijn van Hemert, Ali Tas, Natacha S. Ogando, Frank J. M. van Kuppeveld, Ralf Bartenschlager, Lars Kaderali, Marco Binder, Niko Beerenwinkel
2020 J jnl
Mathematical modeling of hepatitis C RNA replication, exosome secretion and virus release.
PLoS Comput. Biol.
Carolin Zitzmann, Lars Kaderali, Alan S. Perelson
2019 — conf
Alignment of Multi-Sensored Data: Adjustment of Sampling Frequencies and Time Shifts.
CinC
Marcus Vollmer, Dominic Bläsing, Lars Kaderali
2017 — conf
Can Supervised Learning Be Used to Classify Cardiac Rhythms?.
CinC
Marcus Vollmer, Philipp Sodmann, Leonard Caanitz, Neetika Nath, Lars Kaderali
2015 J jnl
An integrative approach for a network based meta-analysis of viral RNAi screens.
Algorithms Mol. Biol.
Sandeep Amberkar, Lars Kaderali
2015 J jnl
lpNet: a linear programming approach to reconstruct signal transduction networks.
Bioinform.
Marta R. A. Matos, Bettina Knapp, Lars Kaderali
2014 J jnl
Detecting Non-Uniform Clusters in Large-Scale Interaction Graphs.
J. Comput. Biol.
Nissan Levtov, Sandeep Amberkar, Zakharia M. Frenkel, Lars Kaderali, Zeev Volkovich
2014 J jnl
Dynamic Probabilistic Threshold Networks to Infer Signaling Pathways from Time-Course Perturbation Data.
BMC Bioinform.
Narsis Aftab Kiani, Lars Kaderali
2013 J jnl
Mining Quasi-Bicliques from HIV-1-Human Protein Interaction Network: A Multiobjective Biclustering Approach.
IEEE ACM Trans. Comput. Biol. Bioinform.
Ujjwal Maulik, Anirban Mukhopadhyay, Malay Bhattacharyya, Lars Kaderali, Benedikt Brors, Sanghamitra Bandyopadhyay, Roland Eils
2011 J jnl
Normalizing for individual cell population context in the analysis of high-content cellular screens.
BMC Bioinform.
Bettina Knapp, Ilka Rebhan, Anil Kumar, Petr Matula, Narsis Aftab Kiani, Marco Binder, Holger Erfle, Karl Rohr, Roland Eils, Ralf Bartenschlager, Lars Kaderali
2010 J jnl
Detecting host factors involved in virus infection by observing the clustering of infected cells in siRNA screening images.
Bioinform.
Apichat Suratanee, Ilka Rebhan, Petr Matula, Anil Kumar, Lars Kaderali, Karl Rohr, Ralf Bartenschlager, Roland Eils, Rainer König
2009 J jnl
Inference of an oscillating model for the yeast cell cycle.
Discret. Appl. Math.
Nicole Radde, Lars Kaderali
2009 J jnl
RNAither, an automated pipeline for the statistical analysis of high-throughput RNAi screens.
Bioinform.
Nora Rieber, Bettina Knapp, Roland Eils, Lars Kaderali
2009 J jnl
Reconstructing nonlinear dynamic models of gene regulation using stochastic sampling.
BMC Bioinform.
Johanna Mazur, Daniel Ritter, Gerhard Reinelt, Lars Kaderali
2009 J jnl
Reconstructing signaling pathways from RNAi data using probabilistic Boolean threshold networks.
Bioinform.
Lars Kaderali, Eva Dazert, Ulf Zeuge, Michael Frese, Ralf Bartenschlager
2008 — ch.
Inferring Gene Regulatory Networks from Expression Data.
Computational Intelligence in Bioinformatics
Lars Kaderali, Nicole Radde
2007 — conf
Bayesian Inference of Gene Regulatory Networks Using Gene Expression Time Series Data.
BIRD
Nicole Radde, Lars Kaderali
2007 — conf
Individualized Predictions of Survival Time Distributions from Gene Expression Data Using a Bayesian MCMC Approach.
BIRD
Lars Kaderali
2006 J jnl
CASPAR: a hierarchical bayesian approach to predict survival times in cancer from gene expression data.
Bioinform.
Lars Kaderali, Thomas Zander, Ulrich Faigle, Jürgen Wolf, Joachim L. Schultze, Rainer Schrader
2005 J jnl
A fractional programming approach to efficient DNA melting temperature calculation.
Bioinform.
Markus Leber, Lars Kaderali, Alexander Schönhuth, Rainer Schrader
2002 J jnl
Selecting signature oligonucleotides to identify organisms using DNA arrays.
Bioinform.
Lars Kaderali, Alexander Schliep
2001 J jnl
A new Algorithm for Accelerating Pair-Wise Computations of Melting Temperature.
Electron. Notes Discret. Math.
Lars Kaderali, Alexander Schliep