Search Results for author:
Found 5 papers, 2 papers with code
Automated Generation of Accurate & Fluent Medical X-ray Reports
Our paper aims to automate the generation of medical reports from chest X-ray image inputs, a critical yet time-consuming task for radiologists.
1-bit Quantized On-chip Hybrid Diffraction Neural Network Enabled by Authentic All-optical Fully-connected Architecture
Optical Diffraction Neural Networks (DNNs), a subset of Optical Neural Networks (ONNs), show promise in mirroring the prowess of electronic networks.
Automated Generation of Accurate \& Fluent Medical X-ray Reports
Our paper focuses on automating the generation of medical reports from chest X-ray image inputs, a critical yet time-consuming task for radiologists.
A Semi-Blind Multiuser SIMO GFDM System in the Presence of CFOs and IQ Imbalances
A low-complexity semi-blind joint estimation scheme of multiple channels, CFOs and IQ imbalances is proposed.
Deep learning framework for subject-independent emotion detection using wireless signals
We have compared our results with those obtained from five different classical ML algorithms and it is established that deep learning offers a superior performance even with limited amount of raw RF and post processed time-sequence data.
