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Publication search results
found 46 matches
- 2024
- Jakob Schulz:
Schönhage-Strassen Multiplication. Arch. Formal Proofs 2024 (2024) - Jakob Schulz, Emin Karayel:
Karatsuba Multiplication on Integers. Arch. Formal Proofs 2024 (2024) - Daniel Truhn, Soroosh Tayebi Arasteh, Oliver Lester Saldanha, Gustav Müller-Franzes, Firas Khader, Philip Quirke, Nicholas P. West, Richard Gray, Gordon G. A. Hutchins, Jacqueline A. James, Maurice B. Loughrey, Manuel Salto-Tellez, Hermann Brenner, Alexander Brobeil, Tanwei Yuan, Jenny Chang-Claude, Michael Hoffmeister, Sebastian Foersch, Tianyu Han, Sebastian Keil, Maximilian Schulze-Hagen, Peter Isfort, Philipp Bruners, Georgios Kaissis, Christiane Kuhl, Sven Nebelung, Jakob Nikolas Kather:
Encrypted federated learning for secure decentralized collaboration in cancer image analysis. Medical Image Anal. 92: 103059 (2024) - Jakob Schäffeler, Bengisu Elis, Amir Raoofy, Josef Weidendorfer, Martin Schulz:
A Portable Tool to Compare Performance Profiles from GPU Offloading Programming Models. CF 2024 - Oliver Schulz, Jakob Beetz:
Aligning openCDE APIs with Linked Building Data through Constrained Containers in Common Data Environments. LDAC 2024: 105-117 - Sebastian Bischoff, Alana Darcher, Michael Deistler, Richard Gao, Franziska Gerken, Manuel Glöckler, Lisa Haxel, Jaivardhan Kapoor, Janne K. Lappalainen, Jakob H. Macke, Guy Moss, Matthijs Pals, Felix Pei, Rachel Rapp, A Erdem Sagtekin, Cornelius Schröder, Auguste Schulz, Zinovia Stefanidi, Shoji Toyota, Linda Ulmer, Julius Vetter:
A Practical Guide to Statistical Distances for Evaluating Generative Models in Science. CoRR abs/2403.12636 (2024) - Jaivardhan Kapoor, Auguste Schulz, Julius Vetter, Felix Pei, Richard Gao, Jakob H. Macke:
Latent Diffusion for Neural Spiking Data. CoRR abs/2407.08751 (2024) - Ashraya K. Indrakanti, Jakob Wasserthal, Martin Segeroth, Shan Yang, Victor Schulze-Zachau, Joshy Cyriac, Michael Bach, Marios Psychogios, Matthias Anthony Mutke:
Multi-centric AI Model for Unruptured Intracranial Aneurysm Detection and Volumetric Segmentation in 3D TOF-MRI. CoRR abs/2408.17115 (2024) - 2023
- Jeroen Maurits Werbrouck, Oliver Schulz, Jyrki Oraskari, Erik Mannens, Pieter Pauwels, Jakob Beetz:
A generic framework for federated CDEs applied to Issue Management. Adv. Eng. Informatics 58: 102136 (2023) - Oliver Schulz, Jyrki Oraskari, Jakob Beetz:
Lessons learned from designing and using bcfOWL. LDAC 2023: 23-34 - 2022
- Narmin Ghaffari Laleh, Hannah Sophie Muti, Chiara Maria Lavinia Loeffler, Amelie Echle, Oliver Lester Saldanha, Faisal Mahmood, Ming Y. Lu, Christian Trautwein, Rupert Langer, Bastian Dislich, Roman David Bülow, Heike Irmgard Grabsch, Hermann Brenner, Jenny Chang-Claude, Elizabeth Alwers, Titus J. Brinker, Firas Khader, Daniel Truhn, Nadine T. Gaisa, Peter Boor, Michael Hoffmeister, Volkmar Schulz, Jakob Nikolas Kather:
Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology. Medical Image Anal. 79: 102474 (2022) - Narmin Ghaffari Laleh, Hannah Sophie Muti, Chiara Maria Lavinia Loeffler, Amelie Echle, Oliver Lester Saldanha, Faisal Mahmood, Ming Y. Lu, Christian Trautwein, Rupert Langer, Bastian Dislich, Roman David Bülow, Heike Irmgard Grabsch, Hermann Brenner, Jenny Chang-Claude, Elizabeth Alwers, Titus J. Brinker, Firas Khader, Daniel Truhn, Nadine T. Gaisa, Peter Boor, Michael Hoffmeister, Volkmar Schulz, Jakob Nikolas Kather:
Erratum to 'Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology' Medical Image Analysis, Volume 79, July 2022, 102474. Medical Image Anal. 82: 102622 (2022) - Tianyu Han, Jakob Nikolas Kather, Federico Pedersoli, Markus Zimmermann, Sebastian Keil, Maximilian Schulze-Hagen, Marc Terwoelbeck, Peter Isfort, Christoph Haarburger, Fabian Kiessling, Christiane Kuhl, Volkmar Schulz, Sven Nebelung, Daniel Truhn:
Image prediction of disease progression for osteoarthritis by style-based manifold extrapolation. Nat. Mac. Intell. 4(11): 1029-1039 (2022) - Jakob Bach, Kolja Zoller, Holger Trittenbach, Katrin Schulz, Klemens Böhm:
An Empirical Evaluation of Constrained Feature Selection. SN Comput. Sci. 3(6): 445 (2022) - Jakob Rødsgaard Jørgensen, Ira Assent, Hans-Jörg Schulz:
AVID: GPU-enabled Visual Analytics with GPU-FAST-PROCLUS. EDBT 2022: 2:562-2:565 - Marius Hogräfer, Jakob Burkhardt, Hans-Jörg Schulz:
A Pipeline for Tailored Sampling for Progressive Visual Analytics. EuroVA@EuroVis 2022: 49-53 - Jyrki Oraskari, Oliver Schulz, Jakob Beetz:
Towards Describing Version History of BCF Data in the Semantic Web. LDAC@ESWC 2022: 87-98 - Firas Khader, Gustav Mueller-Franzes, Soroosh Tayebi Arasteh, Tianyu Han, Christoph Haarburger, Maximilian Schulze-Hagen, Philipp Schad, Sandy Engelhardt, Bettina Baeßler, Sebastian Foersch, Johannes Stegmaier, Christiane Kuhl, Sven Nebelung, Jakob Nikolas Kather, Daniel Truhn:
Medical Diffusion - Denoising Diffusion Probabilistic Models for 3D Medical Image Generation. CoRR abs/2211.03364 (2022) - 2021
- Christian Knaak, Jakob von Eßen, Moritz Kröger, Frederic Schulze, Peter Abels, Arnold Gillner:
A Spatio-Temporal Ensemble Deep Learning Architecture for Real-Time Defect Detection during Laser Welding on Low Power Embedded Computing Boards. Sensors 21(12): 4205 (2021) - Roman Karlstetter, Amir Raoofy, Martin Radev, Carsten Trinitis, Jakob Hermann, Martin Schulz:
Living on the Edge: Efficient Handling of Large Scale Sensor Data. CCGRID 2021: 1-10 - Narmin Ghaffari Laleh, Amelie Echle, Hannah Sophie Muti, Katherine Jane Hewitt, Volkmar Schulz, Jakob Nikolas Kather:
Deep Learning for interpretable end-to-end survival (E-ESurv) prediction in gastrointestinal cancer histopathology. COMPAY@MICCAI 2021: 81-93 - Oliver Schulz, Jyrki Oraskari, Jakob Beetz:
bcfOWL: A BIM collaboration ontology. LDAC 2021: 142-153 - Tianyu Han, Jakob Nikolas Kather, Federico Pedersoli, Markus Zimmermann, Sebastian Keil, Maximilian Schulze-Hagen, Marc Terwoelbeck, Peter Isfort, Christoph Haarburger, Fabian Kiessling, Volkmar Schulz, Christiane Kuhl, Sven Nebelung, Daniel Truhn:
Predicting Osteoarthritis Progression in Radiographs via Unsupervised Representation Learning. CoRR abs/2111.11439 (2021) - 2020
- Niklas Heinemann, Sascha Bub, Jakob Wolfram, Sebastian Stehle, Lara L. Petschick, Ralf Schulz:
A Compendium of Chemical Class and Use Type Open Access Databases. Data 5(4): 114 (2020) - Deniz Çaliskan, Jakob Zierk, Detlef Kraska, Stefan Schulz, Philipp Daumke, Hans-Ulrich Prokosch, Lorenz A. Kapsner:
First Steps to Evaluate an NLP Tool's Medication Extraction Accuracy from Discharge Letters. GMDS 2020: 224-230 - Alexander Kleff, Frank Schulz, Jakob Wagenblatt, Tim Zeitz:
Efficient Route Planning with Temporary Driving Bans, Road Closures, and Rated Parking Areas. SEA 2020: 17:1-17:13 - Alexander Kleff, Frank Schulz, Jakob Wagenblatt, Tim Zeitz:
Efficient Route Planning with Temporary Driving Bans, Road Closures, and Rated Parking Areas. CoRR abs/2004.09163 (2020) - 2019
- Sascha Bub, Jakob Wolfram, Sebastian Stehle, Lara L. Petschick, Ralf Schulz:
Graphing Ecotoxicology: The MAGIC Graph for Linking Environmental Data on Chemicals. Data 4(1): 34 (2019) - Lara L. Petschick, Sascha Bub, Jakob Wolfram, Sebastian Stehle, Ralf Schulz:
Modeling Regulatory Threshold Levels for Pesticides in Surface Waters from Effect Databases. Data 4(4): 150 (2019) - Francesco Gringoli, Matthias Schulz, Jakob Link, Matthias Hollick:
Free Your CSI: A Channel State Information Extraction Platform For Modern Wi-Fi Chipsets. WiNTECH 2019: 21-28
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