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07/24/2023
AMAE: Adaptation of Pre-Trained Masked Autoencoder for Dual-Distribution Anomaly Detection in Chest X-Rays
Unsupervised anomaly detection in medical images such as chest radiograp...
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05/01/2023
TPMIL: Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image Classification
Digital pathology based on whole slide images (WSIs) plays a key role in...
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03/02/2023
Towards Trustable Skin Cancer Diagnosis via Rewriting Model's Decision
Deep neural networks have demonstrated promising performance on image re...
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11/16/2022
Cyclic Generative Adversarial Networks With Congruent Image-Report Generation For Explainable Medical Image Analysis
We present a novel framework for explainable labeling and interpretation...
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10/13/2022
Probabilistic Integration of Object Level Annotations in Chest X-ray Classification
Medical image datasets and their annotations are not growing as fast as ...
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08/17/2022
Leukocyte Classification using Multimodal Architecture Enhanced by Knowledge Distillation
Recently, a lot of automated white blood cells (WBC) or leukocyte classi...
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07/24/2022
Improved Super Resolution of MR Images Using CNNs and Vision Transformers
State of the art magnetic resonance (MR) image super-resolution methods ...
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06/27/2022
Unsupervised Domain Adaptation Using Feature Disentanglement And GCNs For Medical Image Classification
The success of deep learning has set new benchmarks for many medical ima...
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04/12/2022
LifeLonger: A Benchmark for Continual Disease Classification
Deep learning models have shown a great effectiveness in recognition of ...
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04/04/2022
Generalized Zero Shot Learning For Medical Image Classification
In many real world medical image classification settings we do not have ...
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02/21/2022
Outlier-based Autism Detection using Longitudinal Structural MRI
Diagnosis of Autism Spectrum Disorder (ASD) using clinical evaluation (c...
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01/27/2022
Anomaly Detection in Retinal Images using Multi-Scale Deep Feature Sparse Coding
Convolutional Neural Network models have successfully detected retinal i...
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11/15/2021
Multimodal Generalized Zero Shot Learning for Gleason Grading using Self-Supervised Learning
Gleason grading from histopathology images is essential for accurate pro...
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10/01/2021
Learning of Inter-Label Geometric Relationships Using Self-Supervised Learning: Application To Gleason Grade Segmentation
Segmentation of Prostate Cancer (PCa) tissues from Gleason graded histop...
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06/15/2021
CT Image Synthesis Using Weakly Supervised Segmentation and Geometric Inter-Label Relations For COVID Image Analysis
While medical image segmentation is an important task for computer aided...
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04/28/2021
Multi-scale Deep Learning Architecture for Nucleus Detection in Renal Cell Carcinoma Microscopy Image
Clear cell renal cell carcinoma (ccRCC) is one of the most common forms ...
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04/22/2021
Relational Subsets Knowledge Distillation for Long-tailed Retinal Diseases Recognition
In the real world, medical datasets often exhibit a long-tailed data dis...
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04/13/2021
Interpretability-Driven Sample Selection Using Self Supervised Learning For Disease Classification And Segmentation
In supervised learning for medical image analysis, sample selection meth...
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02/28/2021
Improving Medical Image Classification with Label Noise Using Dual-uncertainty Estimation
Deep neural networks are known to be data-driven and label noise can hav...
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10/19/2020
Anomaly Detection on X-Rays Using Self-Supervised Aggregation Learning
Deep anomaly detection models using a supervised mode of learning usuall...
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08/05/2020
Structure Preserving Stain Normalization of Histopathology Images Using Self-Supervised Semantic Guidance
Although generative adversarial network (GAN) based style transfer is st...
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07/04/2020
Registration of Histopathogy Images Using Structural Information From Fine Grained Feature Maps
Registration is an important part of many clinical workflows and factual...
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03/31/2020
Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based Augmentation
Medical image segmentation is an important task for computer aided diagn...
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10/18/2019
Generative Adversarial Networks And Domain Adaptation For Training Data Independent Image Registration
Medical image registration is an important task in automated analysis of...
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10/11/2019
Adversarial Pulmonary Pathology Translation for Pairwise Chest X-ray Data Augmentation
Recent works show that Generative Adversarial Networks (GANs) can be suc...
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09/23/2019
sZoom: A Framework for Automatic Zoom into High Resolution Surveillance Videos
Current cameras are capable of recording high resolution video. While vi...
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07/06/2019
AMD Severity Prediction And Explainability Using Image Registration And Deep Embedded Clustering
We propose a method to predict severity of age related macular degenerat...
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04/24/2019
Informative sample generation using class aware generative adversarial networks for classification of chest Xrays
Training robust deep learning (DL) systems for disease detection from me...
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03/25/2019
Combining Transfer Learning And Segmentation Information with GANs for Training Data Independent Image Registration
Registration is an important task in automated medical image analysis. A...
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02/06/2019
Progressive Generative Adversarial Networks for Medical Image Super resolution
Anatomical landmark segmentation and pathology localization are importan...
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02/03/2019
Night Time Haze and Glow Removal using Deep Dilated Convolutional Network
In this paper, we address the single image haze removal problem in a nig...
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09/12/2018
Joint Segmentation and Uncertainty Visualization of Retinal Layers in Optical Coherence Tomography Images using Bayesian Deep Learning
Optical coherence tomography (OCT) is commonly used to analyze retinal l...
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08/22/2018
Deep multiscale convolutional feature learning for weakly supervised localization of chest pathologies in X-ray images
Localization of chest pathologies in chest X-ray images is a challenging...
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07/19/2018
Chest X-rays Classification: A Multi-Label and Fine-Grained Problem
The widely used ChestX-ray14 dataset addresses an important medical imag...
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06/14/2018
Efficient Active Learning for Image Classification and Segmentation using a Sample Selection and Conditional Generative Adversarial Network
Training robust deep learning (DL) systems for medical image classificat...
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05/07/2018
Elastic Registration of Medical Images With GANs
Conventional approaches to image registration consist of time consuming ...
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10/13/2017
Retinal Vasculature Segmentation Using Local Saliency Maps and Generative Adversarial Networks For Image Super Resolution
We propose an image super resolution(ISR) method using generative advers...
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12/07/2016