Lehrstuhl für Informatik 5 (Mustererkennung)


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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Unpublished / Preprint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

Abstract: Deep Geometric Supervision Improves Spatial Generalization in Orthopedic Surgery Planning (2023) Kordon F, Maier A, Swartman B, Privalov M, El Barbari JS, Kunze H Conference contribution Mitigating Unknown Bias in Deep Learning-based Assessment of CT Images Deep Technome (2023) Langer S, Taubmann O, Denzinger F, Maier A, Mühlberg A Conference contribution Language Generalization Using Active Learning in the Context of Parkinson’s Disease Classification (2023) Moreno-Acevedo SA, Rios-Urrego CD, Vásquez-Correa JC, Rusz J, Nöth E, Orozco-Arroyave JR Conference contribution Focus on Content not Noise: Improving Image Generation for Nuclei Segmentation by Suppressing Steganography in CycleGAN (2023) Utz J, Weise T, Schlereth M, Wagner F, Thies M, Gu M, Uderhardt S, Breininger K Conference contribution Detection of Vowel Errors in Children's Speech using Synthetic Phonetic Transcripts (2023) Baumann I, Wagner D, Riedhammer K, Nöth E, Bocklet T Conference contribution Inherently Interpretable Multi-Label Classification Using Class-Specific Counterfactuals (2023) Sun S, Woerner S, Maier A, Koch LM, Baumgartner CF Conference contribution Word class representations spontaneously emerge in a deep neural network trained on next word prediction (2023) Surendra K, Schilling A, Stöwer P, Maier A, Krauß P Conference contribution Detection of Arterial Occlusion on Magnetic Resonance Angiography of the Thigh using Deep Learning (2023) Nguyen TT, Folle L, Bayer T, Maier A Conference contribution Comparative Analysis of Machine Learning Clustering Methods for Electroretinogram (2023) Zhdanov A, Bulev D, Dolganov A, Kulyabin M Conference contribution, Conference Contribution Fetal Re-Identification in Multiple Pregnancy Ultrasound Images Using Deep Learning (2023) Gabler E, Nissen M, Altstidl TR, Titzmann A, Packhäuser K, Maier A, Fasching P, et al. Conference contribution, Conference Contribution