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Found 7 papers, 3 papers with code
Self-Supervised MRI Reconstruction with Unrolled Diffusion Models
Magnetic Resonance Imaging (MRI) produces excellent soft tissue contrast, albeit it is an inherently slow imaging modality.
JointNET: A Deep Model for Predicting Active Sacroiliitis from Sacroiliac Joint Radiography
Results: JointNET differentiated active inflammation from radiographs with a mean AUROC of 89. 2 (95% CI:86. 8%, 91. 7%).
Content-Based Medical Image Retrieval with Opponent Class Adaptive Margin Loss
Broadspread use of medical imaging devices with digital storage has paved the way for curation of substantial data repositories.
COVID-19 Detection from Respiratory Sounds with Hierarchical Spectrogram Transformers
Monitoring of prevalent airborne diseases such as COVID-19 characteristically involves respiratory assessments.
Deep Clustering via Center-Oriented Margin Free-Triplet Loss for Skin Lesion Detection in Highly Imbalanced Datasets
To address this issue, we introduce a deep clustering approach based on the latent-space embedding of dermoscopic images.
Semantic Structure and Interpretability of Word Embeddings
Dense word embeddings, which encode semantic meanings of words to low dimensional vector spaces have become very popular in natural language processing (NLP) research due to their state-of-the-art performances in many NLP tasks.
Statistically Segregated k-Space Sampling for Accelerating Multiple-Acquisition MRI
To address this problem, a statistically-segregated sampling method is proposed for multiple-acquisition MRI.
Image and Video Processing
