Benjamin Risse
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View article: MARTHA - Combining gaze into deep learning for fully quantitative human testicular histology analysis
MARTHA - Combining gaze into deep learning for fully quantitative human testicular histology analysis Open
Despite advances in computational pathology, manual tissue examinations remain the gold standard in diagnostics, resulting in thousands of whole slide image inspections in daily practice. Unfortunately, examination strategies and identifie…
View article: OR27-04 Unraveling the Genetic Architecture of Male Fertility: A Population-Based GWAS of Testicular Volume Using Machine Learning-Based Segmentation
OR27-04 Unraveling the Genetic Architecture of Male Fertility: A Population-Based GWAS of Testicular Volume Using Machine Learning-Based Segmentation Open
Disclosure: P. Beeken: None. J. Ernsting: None. L. Ogoniak: None. J. Kockwelp: None. T. Hahn: None. B. Risse: None. A.S. Busch: None. Background: The genetic factors influencing male fertility remain elusive. While testicular volume closel…
View article: Towards population scale testis volume segmentation in DIXON MRI
Towards population scale testis volume segmentation in DIXON MRI Open
Testis size is known to be one of the main predictors of male fertility, usually assessed in clinical workup via palpation or imaging. Despite its potential, population-level evaluation of testicular volume using imaging remains underexplo…
View article: Hatching-Box: Automated in situ monitoring of Drosophila melanogaster development in standard rearing vials
Hatching-Box: Automated in situ monitoring of Drosophila melanogaster development in standard rearing vials Open
In this paper we propose the Hatching-Box, a novel in situ imaging and analysis system to automatically monitor and quantify the developmental behavior of Drosophila melanogaster in standard rearing vials and during regular rearing routine…
View article: Rethinking interaction design - special implications for interaction concepts in medical education using virtual reality
Rethinking interaction design - special implications for interaction concepts in medical education using virtual reality Open
This study investigates the impact of hand representation in virtual reality based medical education on user behaviour, with a particular focus on medical teaching objectives and navigation within the scenario. In VR it is common to adapt …
View article: Teach the Unteachable with a Virtual Reality (VR) Brain Death Scenario – 800 Students and 3 Years of Experience
Teach the Unteachable with a Virtual Reality (VR) Brain Death Scenario – 800 Students and 3 Years of Experience Open
Introduction: Traditionally, clinical education has combined classroom theory with hospital-based practical experiences. Over the past 50 years, simulation-based training, particularly virtual reality (VR), has gained prominence for its fl…
View article: pyAKI—An open source solution to automated acute kidney injury classification
pyAKI—An open source solution to automated acute kidney injury classification Open
Objective Acute kidney injury (AKI) is a frequent complication in critically ill patients, affecting up to 50% of patients in the intensive care units. The lack of standardized and open-source tools for applying the Kidney Disease Improvin…
View article: Learned Random Label Predictions as a Neural Network Complexity Metric
Learned Random Label Predictions as a Neural Network Complexity Metric Open
We empirically investigate the impact of learning randomly generated labels in parallel to class labels in supervised learning on memorization, model complexity, and generalization in deep neural networks. To this end, we introduce a multi…
View article: The Hatching-Box: A Novel System for Automated Monitoring and Quantification of Drosophila melanogaster Developmental Behavior
The Hatching-Box: A Novel System for Automated Monitoring and Quantification of Drosophila melanogaster Developmental Behavior Open
In this paper we propose the Hatching-Box, a novel imaging and analysis system to automatically monitor and quantify the developmental behavior of Drosophila in standard rearing vials and during regular rearing routines, rendering explicit…
View article: Probabilistic Photonic Computing with Chaotic Light
Probabilistic Photonic Computing with Chaotic Light Open
Biological neural networks effortlessly tackle complex computational problems and excel at predicting outcomes from noisy, incomplete data, a task that poses significant challenges to traditional processors. Artificial neural networks (ANN…
View article: Interpreting Graph Neural Networks with Myerson Values for Cheminformatics Approaches
Interpreting Graph Neural Networks with Myerson Values for Cheminformatics Approaches Open
Graph neural networks (GNNs) are a natural choice to represent chemical data, due to their inherent ability to handle arbitrary input topologies. They avoid the need to convert molecules into molecular fingerprints with a fixed vector leng…
View article: VR-based Competence Training at Scale: Teaching Clinical Skills in the Context of Virtual Brain Death Examination
VR-based Competence Training at Scale: Teaching Clinical Skills in the Context of Virtual Brain Death Examination Open
Teaching medical practical and soft skills in clinical routines is increasingly difficult, and manikin or actor-based simulations have gained popularity in the last decades. These simulations, however, hardly scale with the demand, are com…
View article: OccFlowNet: Towards Self-supervised Occupancy Estimation via Differentiable Rendering and Occupancy Flow
OccFlowNet: Towards Self-supervised Occupancy Estimation via Differentiable Rendering and Occupancy Flow Open
Semantic occupancy has recently gained significant traction as a prominent 3D scene representation. However, most existing methods rely on large and costly datasets with fine-grained 3D voxel labels for training, which limits their practic…
View article: Accelerating finite-difference frequency-domain simulations of inverse designed structures in nanophotonics using deep learning
Accelerating finite-difference frequency-domain simulations of inverse designed structures in nanophotonics using deep learning Open
The inverse design of nanophotonic devices is becoming increasingly relevant for the development of complex photonic integrated circuits. Electromagnetic first-order simulations contribute to the overwhelming computational cost of the opti…
View article: Probabilistic Photonic Computing with Chaotic Light
Probabilistic Photonic Computing with Chaotic Light Open
Biological neural networks effortlessly tackle complex computational problems and excel at predicting outcomes from noisy, incomplete data, a task that poses significant challenges to traditional processors. Artificial neural networks (ANN…
View article: pyAKI -- An Open Source Solution to Automated KDIGO classification
pyAKI -- An Open Source Solution to Automated KDIGO classification Open
Acute Kidney Injury (AKI) is a frequent complication in critically ill patients, affecting up to 50% of patients in the intensive care units. The lack of standardized and open-source tools for applying the Kidney Disease Improving Global O…
View article: Momentum-SAM: Sharpness Aware Minimization without Computational Overhead
Momentum-SAM: Sharpness Aware Minimization without Computational Overhead Open
The recently proposed optimization algorithm for deep neural networks Sharpness Aware Minimization (SAM) suggests perturbing parameters before gradient calculation by a gradient ascent step to guide the optimization into parameter space re…
View article: A Systematic Evaluation of Machine Learning–Based Biomarkers for Major Depressive Disorder
A Systematic Evaluation of Machine Learning–Based Biomarkers for Major Depressive Disorder Open
Importance Biological psychiatry aims to understand mental disorders in terms of altered neurobiological pathways. However, for one of the most prevalent and disabling mental disorders, major depressive disorder (MDD), no informative bioma…
View article: Human fertilization in vivo and in vitro requires the CatSper channel to initiate sperm hyperactivation
Human fertilization in vivo and in vitro requires the CatSper channel to initiate sperm hyperactivation Open
The infertility of many couples rests on an enigmatic dysfunction of the man's sperm. To gain insight into the underlying pathomechanisms, we assessed the function of the sperm-specific multisubunit CatSper-channel complex in the sperm of …
View article: Deep learning predicts therapy-relevant genetics in acute myeloid leukemia from Pappenheim-stained bone marrow smears
Deep learning predicts therapy-relevant genetics in acute myeloid leukemia from Pappenheim-stained bone marrow smears Open
The detection of genetic aberrations is crucial for early therapy decisions in acute myeloid leukemia (AML) and recommended for all patients. Because genetic testing is expensive and time consuming, a need remains for cost-effective, fast,…
View article: Event-driven adaptive optical neural network
Event-driven adaptive optical neural network Open
We present an adaptive optical neural network based on a large-scale event-driven architecture. In addition to changing the synaptic weights (synaptic plasticity), the optical neural network’s structure can also be reconfigured enabling va…
View article: Adaptive Photochemical Nonlinearities for Optical Neural Networks
Adaptive Photochemical Nonlinearities for Optical Neural Networks Open
Optical neural networks (ONNs) hold great potential for faster and more energy‐efficient information processing in coherent photonic circuits. To realize ONNs, linear combinations and nonlinear activation functions have to be implemented i…
View article: Accelerating Finite-Difference Frequency-Domain Simulations for Inverse Design Problems in Nanophotonics using Deep Learning
Accelerating Finite-Difference Frequency-Domain Simulations for Inverse Design Problems in Nanophotonics using Deep Learning Open
Inverse design of nanophotonic devices becomes increasingly relevant for the development of complex photonic integrated circuits. Electromagnetic first-order simulations contribute the overwhelming computational cost to the optimization ro…