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Found 7 papers, 2 papers with code
MITS-GAN: Safeguarding Medical Imaging from Tampering with Generative Adversarial Networks
The progress in generative models, particularly Generative Adversarial Networks (GANs), opened new possibilities for image generation but raised concerns about potential malicious uses, especially in sensitive areas like medical imaging.
Deep Learning Algorithm for Advanced Level-3 Inverse-Modeling of Silicon-Carbide Power MOSFET Devices
Channel length of power MOSFET is a key parameter involved in the static and dynamic behaviour of the device.
Boosting multiple sclerosis lesion segmentation through attention mechanism
Magnetic resonance imaging is a fundamental tool to reach a diagnosis of multiple sclerosis and monitoring its progression.
Early detection of hip periprosthetic joint infections through CNN on Computed Tomography images
Early detection of an infection prior to prosthesis removal (e. g., hips, knees or other areas) would provide significant benefits to patients.
UniCT DMI Solution for 3rd COV19D Competition on COVID-19 Detection through attention-based CNN for CT Scan
This paper presents our solution for the first challenge of the 3rd Covid-19 competition, which is part of the "AI-enabled Medical Image Analysis Workshop" organized by IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP) 2023.
Pollen13K: A Large Scale Microscope Pollen Grain Image Dataset
Pollen grain classification has a remarkable role in many fields from medicine to biology and agronomy.
Survey on Visual Sentiment Analysis
The paper also includes a description of new challenges, the evaluation from the viewpoint of progress toward more sophisticated systems and related practical applications, as well as a summary of the insights resulting from this study.
