2D and 3D Segmentation of Uncertain Local Collagen Fiber Orientations in SHG Microscopy. - Lars Schmarje; Claudius Zelenka; Ulf Geisen; Claus C. Glüer; Reinhard Koch (GCPR, 2019)

2D and 3D Segmentation of uncertain local collagen fiber orientations in SHG microscopy. - Lars Schmarje; Claudius Zelenka; Ulf Geisen; Claus C. Glüer; Reinhard Koch (Zenodo, 2019)

A survey on Semi-, Self- and Unsupervised Techniques in Image Classification. - Lars Schmarje; Monty Santarossa; Simon-Martin Schröder; Reinhard Koch (CoRR, 2020)

Beyond Cats and Dogs: Semi-supervised Classification of fuzzy labels with overclustering. - Lars Schmarje; Johannes Brünger; Monty Santarossa; Simon-Martin Schröder; Rainer Kiko; Reinhard Koch (CoRR, 2020)

Complexity and Inapproximability Results for Parallel Task Scheduling and Strip Packing. - Sören Henning; Klaus Jansen; Malin Rau; Lars Schmarje (Theory Comput. Syst., 2020)

Learning Stixel-based Instance Segmentation. - Monty Santarossa; Lukas Schneider; Claudius Zelenka; Lars Schmarje; Reinhard Koch; Uwe Franke (IV, 2021)

Life Is Not Black and White - Combining Semi-supervised Learning With Fuzzy Labels. - Lars Schmarje; Reinhard Koch (LWDA, 2021)

A Survey on Semi-, Self- and Unsupervised Learning for Image Classification. - Lars Schmarje; Monty Santarossa; Simon-Martin Schröder; Reinhard Koch (IEEE Access, 2021)

S2C2 - An orthogonal method for Semi-Supervised Learning on fuzzy labels. - Lars Schmarje; Monty Santarossa; Simon-Martin Schröder; Claudius Zelenka; Rainer Kiko; Jenny Stracke; Nina Volkmann; Reinhard Koch (CoRR, 2021)

Fuzzy Overclustering: Semi-Supervised Classification of Fuzzy Labels with Overclustering and Inverse Cross-Entropy. - Lars Schmarje; Johannes Brünger; Monty Santarossa; Simon-Martin Schröder; Rainer Kiko; Reinhard Koch (Sensors, 2021)

Fuzzy Overclustering. - Lars Schmarje; Johannes Brünger; Monty Santarossa; Simon-Martin Schröder; Rainer Kiko; Reinhard Koch (Zenodo, 2021)

Fuzzy Overclustering. - Lars Schmarje; Johannes Brünger; Monty Santarossa; Simon-Martin Schröder; Rainer Kiko; Reinhard Koch (Zenodo, 2021)

A Data-Centric Approach for Improving Ambiguous Labels with Combined Semi-supervised Classification and Clustering. - Lars Schmarje; Monty Santarossa; Simon-Martin Schröder; Claudius Zelenka; Rainer Kiko; Jenny Stracke; Nina Volkmann; Reinhard Koch (ECCV (8), 2022)

Opportunistic Hip Fracture Risk Prediction in Men from X-ray: Findings from the Osteoporosis in Men (MrOS) Study. - Lars Schmarje; Stefan Reinhold; Timo Damm; Eric Orwoll; Claus C. Glüer; Reinhard Koch (PRIME@MICCAI, 2022)

MedRegNet: unsupervised multimodal retinal-image registration with GANs and ranking loss. - Monty Santarossa; Ayse Kilic; Claus von der Burchard; Lars Schmarje; Claudius Zelenka; Stefan Reinhold; Reinhard Koch; Johann Roider (Image Processing, 2022)

Is one annotation enough? - A data-centric image classification benchmark for noisy and ambiguous label estimation. - Lars Schmarje; Vasco Grossmann; Claudius Zelenka; Sabine Dippel; Rainer Kiko; Mariusz Oszust; Matti Pastell; Jenny Stracke; Anna Valros; Nina Volkmann; Reinhard Koch (NeurIPS, 2022)

Beyond Hard Labels: Investigating data label distributions. - Vasco Grossmann; Lars Schmarje; Reinhard Koch (CoRR, 2022)

Datasets for a data-centric image classification benchmark for noisy and ambiguous label estimation. - Lars Schmarje; Vasco Grossmann; Claudius Zelenka; Sabine Dippel; Rainer Kiko; Mariusz Oszust; Matti Pastell; Jenny Stracke; Anna Valros; Nina Volkmann; Reinhard Koch (Zenodo, 2022)

Datasets for a data-centric image classification benchmark for noisy and ambiguous label estimation. - Lars Schmarje; Vasco Grossmann; Claudius Zelenka; Sabine Dippel; Rainer Kiko; Mariusz Oszust; Matti Pastell; Jenny Stracke; Anna Valros; Nina Volkmann; Reinhard Koch (Zenodo, 2022)

Datasets for a data-centric image classification benchmark for noisy and ambiguous label estimation. - Lars Schmarje; Vasco Grossmann; Claudius Zelenka; Sabine Dippel; Rainer Kiko; Mariusz Oszust; Matti Pastell; Jenny Stracke; Anna Valros; Nina Volkmann; Reinhard Koch (Zenodo, 2022)

Datasets for a data-centric image classification benchmark for noisy and ambiguous label estimation. - Lars Schmarje; Vasco Grossmann; Claudius Zelenka; Sabine Dippel; Rainer Kiko; Mariusz Oszust; Matti Pastell; Jenny Stracke; Anna Valros; Nina Volkmann; Reinhard Koch (Zenodo, 2022)

Label Smarter, Not Harder: CleverLabel for Faster Annotation of Ambiguous Image Classification with Higher Quality. - Lars Schmarje; Vasco Grossmann; Tim Michels; Jakob Nazarenus; Monty Santarossa; Claudius Zelenka; Reinhard Koch (DAGM, 2023)

A Simple and Explainable Method for Uncertainty Estimation using Attribute Prototype Networks. - Claudius Zelenka; Andrea Göhring; Daniyal Kazempour; Maximilian Hünemörder; Lars Schmarje; Peer Kröger (ICCV (Workshops), 2023)

Annotating Ambiguous Images: General Annotation Strategy for Image Classification with Real-World Biomedical Validation on Vertebral Fracture Diagnosis. - Lars Schmarje; Vasco Grossmann; Claudius Zelenka; Reinhard Koch (CoRR, 2023)

UNCOVER: Unknown Class Object Detection for Autonomous Vehicles in Real-time. - Lars Schmarje; Kaspar Sakman; Reinhard Koch; Dan Zhang (CoRR, 2024)

Addressing the Challenge of Ambiguous Data in Deep Learning: A Strategy for Creating High-quality Image Annotations with Human Reliability and Judgement Enhancement. - Lars Schmarje (2024)