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Profil bibliographique

Lukas Burger

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

13Publications signalées
125Citations signalées
2Affiliations récentes

Les institutions déclarées

Les domaines associés

Robotics and Sensor-Based LocalizationPrivacy-Preserving Technologies in DataAdvanced Vision and ImagingMachine Learning in BioinformaticsTopic Modeling

Les publications récentes

Accès ouvert 2026 preprint OpenAlex

Modular control of CpG islands by chromatin-opening transcription factors specifies transcription start sites

Fumiya Moribe, Murat Iskar, Sevi Durdu, Christiane Wirbelauer et autres

Abstract CpG islands (CGIs) constitute the dominant class of promoters in vertebrate genomes, yet the mechanisms underlying their transcription initiation remain unclear. Using deep learning and acute perturbation of twelve transcription factors (TFs), we show that chromatin-opening TFs are the primary determinants …

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1 citation bioRxiv (Cold Spring Harbor Laboratory)
Accès ouvert 2025 article OpenAlex

Fungal β-Glucosidases with dual Activity: Linking biomass saccharification to cellulase induction in Trichoderma reesei

Lukas Burger, M. Ben Amor, Fabian Haitz, Carolin Schöchlin et autres

= 2.3 mM). Supplementation of Celluclast® with TS increased glucose release from cellulose and wheat straw and reached levels comparable to Cellic®CTec2 on wheat straw after 24 h. All enzymes catalyzed condensation reactions and produced up to 55 g/L disaccharides, with TS …

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1 citation Bioresource Technology
Accès ouvert 2025 preprint OpenAlex

An Fc-SPINK1 fusion protein inhibits pancreatic inflammation in a mouse model

Jeffrey C. Way, Daniel Heid, Maria Theiss, Lucas Barck et autres

Abstract Pancreatitis results from premature activation and impaired inactivation of pancreatic proteases, primarily trypsin, leading to self-digestion, tissue necrosis, fibrosis, and inflammation. SPINK1 is a pancreas-specific inhibitor of trypsin that prevents premature trypsin activation, and could be a candidate therapeutic. However, because …

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0 citations bioRxiv (Cold Spring Harbor Laboratory)
Accès ouvert 2025 article OpenAlex

Multi-modal dataset creation for federated learning with DICOM-structured reports

Malte Tölle, Lukas Burger, Halvar Kelm, Florian André et autres

Purpose Federated training is often challenging on heterogeneous datasets due to divergent data storage options, inconsistent naming schemes, varied annotation procedures, and disparities in label quality. This is particularly evident in the emerging multi-modal learning paradigms, where dataset harmonization including a uniform …

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7 citations International Journal of Computer Assisted Radiology and Surgery
Accès ouvert 2024 preprint OpenAlex

Multi-Modal Dataset Creation for Federated Learning with DICOM Structured Reports

Malte Tölle, Lukas Burger, Halvar Kelm, Florian André et autres

Purpose: Federated training is often hindered by heterogeneous datasets due to divergent data storage options, inconsistent naming schemes, varied annotation procedures, and disparities in label quality. This is particularly evident in the emerging multi-modal learning paradigms, where dataset harmonization including a uniform …

0 citations arXiv (Cornell University)
Accès ouvert 2023 article OpenAlex

Comparative evaluation of three commercially available markerless depth sensors for close-range use in surgical simulation

Lukas Burger, Lalith Sharan, Roger Karl, Christina E. Wang et autres

PURPOSE: Minimally invasive surgeries have restricted surgical ports, demanding a high skill level from the surgeon. Surgical simulation potentially reduces this steep learning curve and additionally provides quantitative feedback. Markerless depth sensors show great promise for quantification, but most such sensors are …

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14 citations International Journal of Computer Assisted Radiology and Surgery
Accès ouvert 2020 article OpenAlex

Domain gap in adapting self-supervised depth estimation methods for stereo-endoscopy

Lalith Sharan, Lukas Burger, Georgii Kostiuchik, Ivo Wolf et autres

Abstract In endoscopy, depth estimation is a task that potentially helps in quantifying visual information for better scene understanding. A plethora of depth estimation algorithms have been proposed in the computer vision community. The endoscopic domain however, differs from the typical depth …

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9 citations Current Directions in Biomedical Engineering

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