Technische Hochschule Ingolstadt

University / College


Location: Ingolstadt, Germany (DE) DE

ISNI: 0000000098062445

ROR: https://ror.org/02bxzcy64

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Types of publications

Journal article
Book chapter / Article in edited volumes
Authored book
Translation
Thesis
Edited Volume
Conference contribution
Other publication type
Unpublished / Preprint

Publication year

From
To

Abstract

Journal

Convergences and divergences in sustainable entrepreneurship and social entrepreneurship research: A systematic review and research agenda (2024) Bonfanti A, De Crescenzo V, Simeoni F, Loza Adaui CR Journal article Mission statement and social impact: Shedding light on the contribution of Italian B corps to society (2024) Mion G, Bonfanti A, De Crescenzo V, Loza Adaui CR Journal article Assessment of Scanner Domain Shifts in Deep Multiple Instance Learning (2024) Ganz J, Puget C, Ammeling J, Parlak E, Kiupel M, Bertram CA, Breininger K, et al. Conference contribution, Conference Contribution Few Shot Learning for the Classification of Confocal Laser Endomicroscopy Images of Head and Neck Tumors (2024) Aubreville M, Pan Z, Sievert M, Ammeling J, Ganz J, Oetter N, Stelzle F, et al. Conference contribution, Conference Contribution Diagnosis of malignancy in oropharyngeal confocal laser endomicroscopy using GPT 4.0 with vision (2024) Sievert M, Aubreville M, Mueller SK, Eckstein M, Breininger K, Iro H, Goncalves M Journal article A comprehensive multi-domain dataset for mitotic figure detection (2023) Aubreville M, Wilm F, Stathonikos N, Breininger K, Donovan TA, Jabari S, Veta M, et al. Journal article Environmental assessment of anaerobic digestion and biological methanation in power-to-methane systems (2023) Elhaus N, Kolb S, Müller J, Goldbrunner M, Karl J, Herkendell K Journal article Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation (2023) Qiu J, Wilm F, Öttl M, Schlereth M, Liu C, Heimann T, Aubreville M, Breininger K Conference contribution, Conference Contribution Appealing but Potentially Biasing - Investigation of the Visual Representation of Segmentation Predictions by AI Recommender Systems for Medical Decision Making (2023) Ammeling J, Manger C, Kwaka E, Krügel S, Uhl M, Kießig A, Fritz A, et al. Conference contribution Defining a baseline identification of artifacts in confocal laser endomicroscopy in head and neck cancer imaging (2023) Pan Z, Breininger K, Aubreville M, Stelzle F, Maier A, Oetter N, Mantsopoulos K, et al. Journal article