8 citations · 24 across the 27 of their papers we have counts for
7 papers · 1 filter
Medical Vision Language Pretraining: A survey
Prashant Shrestha, Sanskar Amgain, Bidur Khanal +2
Medical Vision Language Pretraining (VLP) has recently emerged as a promising solution to the scarcity of labeled data in the medical domain. By leveraging paired/unpaired vision a…
TextAug: Test time Text Augmentation for Multimodal Person Re-identification
Mulham Fawakherji, Eduard Vazquez, Pasquale Giampa +1
Multimodal Person Reidentification is gaining popularity in the research community due to its effectiveness compared to counter-part unimodal frameworks. However, the bottleneck fo…
Dimension Mixer: Group Mixing of Input Dimensions for Efficient Function Approximation
Suman Sapkota, Binod Bhattarai
The recent success of multiple neural architectures like CNNs, Transformers, and MLP-Mixers motivated us to look for similarities and differences between them. We found that these…
Importance Estimation with Random Gradient for Neural Network Pruning
Suman Sapkota, Binod Bhattarai
Global Neuron Importance Estimation is used to prune neural networks for efficiency reasons. To determine the global importance of each neuron or convolutional kernel, most of the…
ConvNeXtv2 Fusion with Mask R-CNN for Automatic Region Based Coronary Artery Stenosis Detection for Disease Diagnosis
Sandesh Pokhrel, Sanjay Bhandari, Eduard Vazquez +2
Coronary Artery Diseases although preventable are one of the leading cause of mortality worldwide. Due to the onerous nature of diagnosis, tackling CADs has proved challenging. Thi…
Multimodal Federated Learning in Healthcare: a Review
Jacob Thrasher, Alina Devkota, Prasiddha Siwakotai +5
Recent advancements in multimodal machine learning have empowered the development of accurate and robust AI systems in the medical domain, especially within centralized database sy…
Cross-Task Data Augmentation by Pseudo-label Generation for Region Based Coronary Artery Instance Segmentation
Sandesh Pokhrel, Sanjay Bhandari, Eduard Vazquez +2
Coronary Artery Diseases (CADs) although preventable, are one of the leading causes of death and disability. Diagnosis of these diseases is often difficult and resource intensive.…