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References from Hardware-aware knowledge-distilled CNN for real-time classification of plaque-associated angiographic findings on FPGA. Local targets link to admitted publications; unresolved targets remain external evidence.
Assessing and addressing cardiovascular and obstetric risks in patients undergoing assisted reproductive technology: a scientific statement from the American Heart Association
10.1161/cir.0000000000001292 · 2025 · External reference
Atherosclerotic plaque, cardiovascular risk, and lipid-lowering strategies: a narrative review
10.3389/fcvm.2025.1659228 · 2025 · External reference
AI-driven decision support for early detection of cardiac events: unveiling patterns and predicting myocardial ischemia
10.3390/jpm13091421 · 2023 · External reference
Coronary artery stenosis assessment in X-ray angiography through spatio-temporal attention for non-invasive FFR and iFR estimation
2024 · External reference
A rotated object detection model with feature redundancy optimization for coronary athero-sclerotic plaque detection
10.1109/access.2025.3538168 · 2025 · External reference
Automated plaque identification in arterial walls using MATLAB
10.1002/9781394336166.ch35 · 2026 · External reference
Deep learning based coronary artery disease detection and segmentation using ultrasound imaging with adaptive gated SCNN models
10.1016/j.bspc.2025.107637 · 2025 · External reference
A framework of myocardial bridge detection with X-ray angiography sequence
10.1186/s12938-023-01163-2 · 2023 · External reference
A guide to deep learning in healthcare
10.1038/s41591-018-0316-z · 2019 · External reference
Efficient medical image segmentation based on knowledge distillation
10.1109/tmi.2021.3098703 · 2021 · External reference
FPGA implementation of a deep learning acceleration core architecture for image target detection
10.3390/app13074144 · 2023 · External reference
A reconfigurable CNN-based accelerator design for fast and energy-efficient object detection system on mobile FPGA
10.1109/access.2023.3285279 · 2023 · External reference
HePiLUT: resource efficient heterogeneous pipelined CNN accelerator for FPGAs
2024 · External reference
FPGA-Based Artificial intelligence accelerator for on-board processing of aerial scenes
2025 · External reference
Deploying deep learning networks based advanced techniques for image processing on FPGA platform
10.1007/s00521-023-08718-3 · 2023 · External reference
Custom hardware design for peripheral artery disease detection: field-programmable gate arrays and application-specific integrated circuits
10.6977/ijosi.202502_9(1).0007 · 2025 · External reference
A design framework for generating energy-efficient accelerator on FPGA toward low-level vision
10.1109/tvlsi.2024.3409649 · 2024 · External reference
Mobile-X: dedicated FPGA implementation of the MobileNet accelerator optimizing depthwise separable convolution
10.1109/tcsii.2024.3440884 · 2024 · External reference
Reverse-engineering optimization techniques of high-level synthesis: practical insights into accelerating applications with AMD-Xilinx Vitis
10.1109/tcad.2025.3526053 · 2025 · External reference
An energy-efficient FPGA-based convolutional neural network implementation
2021 · External reference
Unresolved reference
2025 · External reference
2021 ACC/AHA/SCAI guideline for coronary artery revascularization: a report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines
10.1161/cir.0000000000001038 · 2022 · External reference
Unresolved reference
External reference
Efficient FPGA-accelerated convolutional neural networks for cloud detection on CubeSats
10.1109/jmass.2025.3533018 · 2025 · External reference
Proceedings of the 2017 ACM/SIGDA international symposium on field-programmable gate arrays
2017 · External reference
Optimizing deep learning acceleration on FPGA for real-time and resource-efficient image classification
10.3390/app15010422 · 2025 · External reference
