Low-Cost DNN Hardware Accelerator for Wearable, High-Quality Cardiac Arrythmia Detection. - Johnson Loh; Jianan Wen; Tobias Gemmeke (ASAP, 2020)

Cascaded Classifier for Pareto-Optimal Accuracy-Cost Trade-Off Using Off-the-Shelf ANNs. - Cecilia Latotzke; Johnson Loh; Tobias Gemmeke (LOD, 2021)

Dataflow Optimizations in a Sub-uW Data-Driven TCN Accelerator for Continuous ECG Monitoring. - Johnson Loh; Tobias Gemmeke (NorCAS, 2022)

Lossless Sparse Temporal Coding for SNN-based Classification of Time-Continuous Signals. - Johnson Loh; Tobias Gemmeke (DATE, 2023)

Automatic Generation of Structured Macros Using Standard Cells ‒ Application to CIM. - Christian Lanius; Jie Lou; Johnson Loh; Tobias Gemmeke (ISLPED, 2023)

An Energy-Efficient and Area-Efficient Depthwise Separable Convolution Accelerator with Minimal On-Chip Memory Access. - Yi Chen; Jie Lou; Christian Lanius; Florian Freye; Johnson Loh; Tobias Gemmeke (VLSI-SoC, 2023)

A Unified and Energy-Efficient Depthwise Separable Convolution Accelerator. - Yi Chen; Jie Lou; Christian Lanius; Florian Freye; Johnson Loh; Tobias Gemmeke (VLSI-SoC (Selected Papers), 2023)

EDEA: Efficient Dual-Engine Accelerator for Depthwise Separable Convolution with Direct Data Transfer. - Yi Chen; Jie Lou; Malte Wabnitz; Johnson Loh; Tobias Gemmeke (SOCC, 2024)

Stream Processing Architectures for Continuous ECG Monitoring Using Subsampling- Based Classifiers. - Johnson Loh; Tobias Gemmeke (IEEE Trans. Very Large Scale Integr. Syst., 2024)

Vehicle Surroundings Perception Using Micro-electromechanical Systems Inertial Sensors. - Martin Lahr; Johnson Loh; Mike Schwarz; Max Christian Lemme; Tobias Gemmeke (Adv. Intell. Syst., 2024)

Towards Hardware Supported Domain Generalization in DNN-Based Edge Computing Devices for Health Monitoring. - Johnson Loh; Lyubov Dudchenko; Justus Viga; Tobias Gemmeke (IEEE Trans. Biomed. Circuits Syst., 2025)