Prof. Dr.-Ing. Andreas Maier

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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Unpublished / Preprint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

Whole-Body Multi-Organ Segmentation Using Anatomical Attention (2023) Liu C, Denzinger F, Folle L, Qiu J, Klein L, Maier J, Kachelrieb M, et al. Conference contribution On the Benefit of Dual-Domain Denoising in a Self-Supervised Low-Dose CT Setting (2023) Wagner F, Thies M, Pfaff L, Aust O, Pechmann S, Weidner D, Maul N, et al. Conference contribution Abstract: Pan-tumor CAnine CuTaneous Cancer Histology (CATCH) Dataset (2023) Wilm F, Fragoso M, Marzahl C, Qiu J, Puget C, Diehl L, Bertram CA, et al. Conference contribution Mind the Gap: Scanner-Induced Domain Shifts Pose Challenges for Representation Learning in Histopathology (2023) Wilm F, Fragoso M, Bertram CA, Stathonikos N, Ottl M, Qiu J, Klopfleisch R, et al. Conference contribution Multi-scanner Canine Cutaneous Squamous Cell Carcinoma Histopathology Dataset (2023) Wilm F, Fragoso M, Bertram CA, Stathonikos N, Öttl M, Qiu J, Klopfleisch R, et al. Conference contribution Spatial Lesion Graphs: Analyzing Liver Metastases with Geometric Deep Learning for Cancer Survival Regression (2023) Rist L, Taubmann O, Muhlberg A, Denzinger F, Thamm F, Sühling M, Norenberg D, et al. Conference contribution Abstract: A Spatiotemporal Model for Precise and Efficient Fully-automatic 3D Motion Correction in OCT (2023) Ploner S, Chen S, Won J, Husvogt L, Breininger K, Schottenhamml J, Fujimoto JG, Maier A Conference contribution Measuring Phonological Precision in Children with Cleft Lip and Palate (2023) Arias Vergara T, Londoño-Mora E, Perez Toro PA, Schuster M, Nöth E, Orozco Arroyave JR, Maier A Conference contribution Deep Learning in Surgical Workflow Analysis: A Review of Phase and Step Recognition (2023) Demir K, Schieber H, Weise T, May M, Maier A, Yang SH Journal article Generation of Anonymous Chest Radiographs Using Latent Diffusion Models for Training Thoracic Abnormality Classification Systems (2023) Packhäuser K, Folle L, Thamm F, Maier A Conference contribution, Original article