research
∙
09/18/2023
DGM-DR: Domain Generalization with Mutual Information Regularized Diabetic Retinopathy Classification
The domain shift between training and testing data presents a significan...
share
research
∙
08/27/2023
PECon: Contrastive Pretraining to Enhance Feature Alignment between CT and EHR Data for Improved Pulmonary Embolism Diagnosis
Previous deep learning efforts have focused on improving the performance...
research
∙
08/15/2023
SEDA: Self-Ensembling ViT with Defensive Distillation and Adversarial Training for robust Chest X-rays Classification
Deep Learning methods have recently seen increased adoption in medical i...
research
∙
06/06/2023
LegoNet: Alternating Model Blocks for Medical Image Segmentation
Since the emergence of convolutional neural networks (CNNs), and later v...
research
∙
05/30/2023
Prompt-based Tuning of Transformer Models for Multi-Center Medical Image Segmentation
Medical image segmentation is a vital healthcare endeavor requiring prec...
research
∙
05/11/2023
Surgical tool classification and localization: results and methods from the MICCAI 2022 SurgToolLoc challenge
The ability to automatically detect and track surgical instruments in en...
research
∙
04/11/2023
Improving Performance of Private Federated Models in Medical Image Analysis
Federated learning (FL) is a distributed machine learning (ML) approach ...
research
∙
04/03/2023
MGMT promoter methylation status prediction using MRI scans? An extensive experimental evaluation of deep learning models
The number of studies on deep learning for medical diagnosis is expandin...
research
∙
03/13/2023
Weakly Unsupervised Domain Adaptation for Vestibular Schwannoma Segmentation
Vestibular schwannoma (VS) is a non-cancerous tumor located next to the ...
research
∙
03/08/2023
FUSQA: Fetal Ultrasound Segmentation Quality Assessment
Deep learning models have been effective for various fetal ultrasound se...
research
∙
01/02/2023
In Quest of Ground Truth: Learning Confident Models and Estimating Uncertainty in the Presence of Annotator Noise
The performance of the Deep Learning (DL) models depends on the quality ...
research
∙
11/24/2022
On the Importance of Image Encoding in Automated Chest X-Ray Report Generation
Chest X-ray is one of the most popular medical imaging modalities due to...
research
∙
11/12/2022
A Radiogenomics Pipeline for Lung Nodules Segmentation and Prediction of EGFR Mutation Status from CT Scans
Lung cancer is a leading cause of death worldwide. Early-stage detection...
research
∙
10/13/2022
How to Train Vision Transformer on Small-scale Datasets?
Vision Transformer (ViT), a radically different architecture than convol...
research
∙
10/03/2022
Self-omics: A Self-supervised Learning Framework for Multi-omics Cancer Data
We have gained access to vast amounts of multi-omics data thanks to Next...
research
∙
09/12/2022
TMSS: An End-to-End Transformer-based Multimodal Network for Segmentation and Survival Prediction
When oncologists estimate cancer patient survival, they rely on multimod...
research
∙
09/09/2022
EchoCoTr: Estimation of the Left Ventricular Ejection Fraction from Spatiotemporal Echocardiography
Learning spatiotemporal features is an important task for efficient vide...
research
∙
08/04/2022
Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image Classification
Vision Transformers (ViT) are competing to replace Convolutional Neural ...
research
∙
05/05/2022
Segmentation with Super Images: A New 2D Perspective on 3D Medical Image Analysis
Deep learning is showing an increasing number of audience in medical ima...
research
∙
03/03/2022
Color Space-based HoVer-Net for Nuclei Instance Segmentation and Classification
Nuclei segmentation and classification is the first and most crucial ste...
research
∙
02/25/2022
An Ensemble Approach for Patient Prognosis of Head and Neck Tumor Using Multimodal Data
Accurate prognosis of a tumor can help doctors provide a proper course o...
research
∙
02/03/2022
SubOmiEmbed: Self-supervised Representation Learning of Multi-omics Data for Cancer Type Classification
For personalized medicines, very crucial intrinsic information is presen...
research
∙
01/26/2022
Hyperparameter Optimization for COVID-19 Chest X-Ray Classification
Despite the introduction of vaccines, Coronavirus disease (COVID-19) rem...
research
∙
01/17/2022
Deep Learning-based Quality Assessment of Clinical Protocol Adherence in Fetal Ultrasound Dating Scans
To assess fetal health during pregnancy, doctors use the gestational age...
research
∙
01/17/2022
Automatic Segmentation of Head and Neck Tumor: How Powerful Transformers Are?
Cancer is one of the leading causes of death worldwide, and head and nec...
research
∙
01/16/2022
Is it Possible to Predict MGMT Promoter Methylation from Brain Tumor MRI Scans using Deep Learning Models?
Glioblastoma is a common brain malignancy that tends to occur in older a...
research
∙
01/16/2022
Challenges in COVID-19 Chest X-Ray Classification: Problematic Data or Ineffective Approaches?
The value of quick, accurate, and confident diagnoses cannot be undermin...
research
∙
01/16/2022
