Moritz Wolter

Overview of ImageCLEF 2025: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications

Bogdan Ionescu, Henning Müller, Dan-Cristian Stanciu, Alexandra-Georgiana Andrei et autres

ro, ch, by, de, us, es, bg, in, ae, no (code pays fourni par la source)

Overview of Touché 2025: Argumentation Systems

Johannes Kiesel, Çağrı Çöltekin, Marcel Gohsen, Sebastian Heineking et autres

de, nl, si, cz, lt (code pays fourni par la source)

REVEAL: Relation-based Video Representation Learning for Video-Question-Answering

Sofian Chaybouti, Walid Bousselham, Moritz Wolter, Hilde Kuehne

Video-Question-Answering (VideoQA) comprises the capturing of complex visual relation changes over time, remaining a challenge even for advanced Video Language Models (VLM), i.a., because of the need to represent the visual content to a reasonably sized input for those models. To address …

Llama 3.1 405B Is Comparable to GPT-4 for Extraction of Data from Thrombectomy Reports—A Step Towards Secure Data Extraction

Nils Lehnen, Johannes Kürsch, Barbara Wichtmann, Moritz Wolter et autres

PURPOSE: GPT‑4 has been shown to correctly extract procedural details from free-text reports on mechanical thrombectomy. However, GPT may not be suitable for analyzing reports containing personal data. The purpose of this study was to evaluate the ability of the large language …

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More Rigorous Software Engineering Would Improve Reproducibility in Machine Learning Research

Moritz Wolter, Lokesh Veeramacheneni

While experimental reproduction remains a pillar of the scientific method, we observe that the software best practices supporting the reproduction of machine learning ( ML ) research are often undervalued or overlooked, leading both to poor reproducibility and damage to trust in …

MR Fingerprinting and Apparent Diffusion Coefficient Mapping for quantitative characterization of clinically significant Prostate Cancer

Barbara Wichtmann, Manuela Bergau, Niklas Kerkfeld, Moritz Wolter et autres

Motivation: Diagnosing clinically significant prostate cancer(PCa) while avoiding overdiagnosis is crucial. Quantitative imaging techniques allow for more objective assessment of prostate lesions. Magnetic resonance fingerprinting(MRF) combined with apparent diffusion coefficient(ADC) might allow quantitative characterization of prostate lesions. Further validation studies with histopathological …

Rethinking Temporal Self-Similarity For Repetitive Action Counting

Yanan Luo, Jinhui Yi, Yazan Abu Farha, Moritz Wolter et autres

Counting repetitive actions in long untrimmed videos is a challenging task that has many applications such as rehabilitation. State-of-the-art methods predict action counts by first generating a temporal self-similarity matrix (TSM) from the sampled frames and then feeding the matrix to a …

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Investigating tissue microstructure of prostate cancer using Linear Multi-scale Modeling of diffusion MRI data

Barbara Wichtmann, Niklas Westhoff, Cleo‐Aron Weis, Ralph Strecker et autres

Linear Multi-scale Modeling (LMM) is an advanced diffusion-weighted imaging(DWI) technique that uses multi-shell, multi-diffusion-time DWI data to estimate tissue microstructure parameters, including volume fractions of restricted and hindered water compartments over a range of length scales and orientation distribution information. Here,we apply …

Rethinking temporal self-similarity for repetitive action counting

Yanan Luo, Jinhui Yi, Yazan Abu Farha, Moritz Wolter et autres

Counting repetitive actions in long untrimmed videos is a challenging task that has many applications such as rehabilitation. State-of-the-art methods predict action counts by first generating a temporal self-similarity matrix (TSM) from the sampled frames and then feeding the matrix to a …

Chronicling Germany: An Annotated Historical Newspaper Dataset

Christian Schultze, Niklas Kerkfeld, Kara Kuebart, Princilia Weber et autres

The correct detection of dense article layout and the recognition of characters in historical newspaper pages remains a challenging requirement for Natural Language Processing (NLP) and machine learning applications on historical newspapers in the field of digital history. Digital newspaper portals for …

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On the effects of biased quantum random numbers on the initialization of artificial neural networks

Raoul Heese, Moritz Wolter, Sascha Mücke, Lukas Franken et autres

Abstract Recent advances in practical quantum computing have led to a variety of cloud-based quantum computing platforms that allow researchers to evaluate their algorithms on noisy intermediate-scale quantum devices. A common property of quantum computers is that they can exhibit instances of …

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On the Stability of Neural Segmentation in Radiology

Moritz Wolter, Lokesh Veeramacheneni, Bettina Baeßler, Ulrike Attenberger et autres

Neural networks promise automated prostate segmentation for the development of precise and quantifiable image-based biomarkers in modern personalized oncology.Before clinical translation, however, their stability must be ensured.In this study, we train three-dimensional Ushaped convolutional neural networks to segment prostate magnetic resonance imaging …

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