3 papers
cs.PF2026
End-to-End Throughput Benchmarking of Portable Deterministic CNN-Based Signal Processing Pipelines
Christiaan Boerkamp, Akhil John Thomas
This paper presents a benchmarking methodology for evaluating end-to-end performance of deterministic signal-processing pipelines expressed using CNN-compatible primitives. The ben…
eess.IV2025
Enhanced DeepLab Based Nerve Segmentation with Optimized Tuning
Akhil John Thomas, Christiaan Boerkamp
Nerve segmentation is crucial in medical imaging for precise identification of nerve structures. This study presents an optimized DeepLabV3-based segmentation pipeline that incorpo…
eess.IV2025
QuantU-Net: Efficient Wearable Medical Imaging Using Bitwidth as a Trainable Parameter
Christiaan Boerkamp, Akhil John Thomas
Medical image segmentation, particularly tumor segmentation, is a critical task in medical imaging, with U-Net being a widely adopted convolutional neural network (CNN) architectur…