Debdoot Sheet

Efficient Algorithm for Contrast Enhancement of Natural Images

A review of uncertainty quantification in deep learning: Techniques, applications and challenges

Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis

Artificial intelligence in healthcare: transforming the practice of medicine

Deep learning-based automated detection of retinal diseases using optical coherence tomography images

Heterogeneity Measurement of Cardiac Tissues Leveraging Uncertainty Information from Image Segmentation

Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

A survey on deep learning techniques for image and video semantic segmentation

Recalibrating Fully Convolutional Networks With Spatial and Channel “Squeeze and Excitation” Blocks

Applications of Artificial Intelligence in Ophthalmology: General Overview

Artificial Intelligence and Deep Learning in Ophthalmology

Knowledge Distillation: A Survey

Automatic contrast enhancement of low-light images based on local statistics of wavelet coefficients

An anatomization on breast cancer detection and diagnosis employing multi-layer perceptron neural network (MLP) and Convolutional neural network (CNN)

Image Analysis for MRI Based Brain Tumor Detection and Feature Extraction Using Biologically Inspired BWT and SVM

On the use of deep learning for computational imaging

Attention mechanisms in computer vision: A survey

A hybrid GA and PSO optimized approach for heart-disease prediction based on random forest

Privileged Modality Distillation for Vessel Border Detection in Intracoronary Imaging

ReLayNet: retinal layer and fluid segmentation of macular optical coherence tomography using fully convolutional networks

Lumen Segmentation in Intravascular Optical Coherence Tomography Using Backscattering Tracked and Initialized Random Walks

Brightness preserving dynamic fuzzy histogram equalization