M. Kalweit

发表

Dorsal Finger Fold Recognition by Convolutional Neural Networks for the Detection and Monitoring of Joint Swelling in Patients with Rheumatoid Arthritis

T. Hügle, G. Kalweit, A. Dumusc, 2022, Digital Biomarkers.

Process-guidance improves predictive performance of neural networks for carbon turnover in ecosystems

J. Boedecker, C. Dormann, M. Kalweit, 2022, bioRxiv.

AnyNets: Adaptive Deep Neural Networks for Medical Data with Missing Values

Gabriel Kalweit, Joschka Boedecker, Maria Kalweit, 2021, AI4Function@IJCAI.

Mechanisms of Premotor-Motor Cortex Interactions during Goal Directed Behavior

G. Kalweit, I. Diester, J. Ammer, 2023, bioRxiv.

Personalized prediction of disease activity in patients with rheumatoid arthritis using an adaptive deep neural network

J. Boedecker, T. Hügle, U. Walker, 2020, medRxiv.

Patient groups in Rheumatoid arthritis identified by deep learning respond differently to biologic or targeted synthetic DMARDs

T. Hügle, T. Burkard, A. M. Burden, 2023, PLoS computational biology.

Deep Surrogate Q-Learning for Autonomous Driving

J. Boedecker, M. Werling, M. Kalweit, 2020, 2022 International Conference on Robotics and Automation (ICRA).

NeuRL: Closed-form Inverse Reinforcement Learning for Neural Decoding

T. Brox, J. Boedecker, I. Diester, 2022, 2204.04733.

Multi-intention Inverse Q-learning for Interpretable Behavior Representation

Brice de la Crompe, I. Diester, Artur Schneider, 2023, 2311.13870.

Robust Tumor Detection from Coarse Annotations via Multi-Magnification Ensembles

M. Metzger, P. Poxleitner, Ignacio Mastroleo, 2023, ArXiv.

CellMixer: Annotation-free Semantic Cell Segmentation of Heterogeneous Cell Populations

Mehdi Naouar, M. Kalweit, Joschka Boedecker, 2023, 2312.00671.

Why We Need to Relearn How to Talk to Machines - A Snapshot of Generative AI in January 2024

M. Kalweit, Gabriel Kalweit, 2024, Journal of Science, Humanities and Arts - JOSHA.