research
∙
09/11/2023
Radiomics Boosts Deep Learning Model for IPMN Classification
Intraductal Papillary Mucinous Neoplasm (IPMN) cysts are pre-malignant p...
share
research
∙
08/31/2023
Self-supervised Semantic Segmentation: Consistency over Transformation
Accurate medical image segmentation is of utmost importance for enabling...
research
∙
08/31/2023
Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image Segmentation
Medical image segmentation has seen significant improvements with transf...
research
∙
08/31/2023
Laplacian-Former: Overcoming the Limitations of Vision Transformers in Local Texture Detection
Vision Transformer (ViT) models have demonstrated a breakthrough in a wi...
research
∙
08/07/2023
Prototype Learning for Out-of-Distribution Polyp Segmentation
Existing polyp segmentation models from colonoscopy images often fail to...
research
∙
07/31/2023
Ensemble Learning with Residual Transformer for Brain Tumor Segmentation
Brain tumor segmentation is an active research area due to the difficult...
research
∙
07/16/2023
GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection
Integrating real-time artificial intelligence (AI) systems in clinical p...
research
∙
07/06/2023
A Privacy-Preserving Walk in the Latent Space of Generative Models for Medical Applications
Generative Adversarial Networks (GANs) have demonstrated their ability t...
research
∙
06/03/2023
TransRUPNet for Improved Out-of-Distribution Generalization in Polyp Segmentation
Out-of-distribution (OOD) generalization is a critical challenge in deep...
research
∙
05/04/2023
Self-Supervised Learning for Organs At Risk and Tumor Segmentation with Uncertainty Quantification
In this study, our goal is to show the impact of self-supervised pre-tra...
research
∙
04/26/2023
GazeSAM: What You See is What You Segment
This study investigates the potential of eye-tracking technology and the...
research
∙
04/23/2023
Ensuring Trustworthy Medical Artificial Intelligencethrough Ethical and Philosophical Principles
Artificial intelligence (AI) methods have great potential to revolutioni...
research
∙
04/23/2023
Vision Transformer for Efficient Chest X-ray and Gastrointestinal Image Classification
Medical image analysis is a hot research topic because of its usefulness...
research
∙
04/13/2023
Real-time Multi-Class Helmet Violation Detection Using Few-Shot Data Sampling Technique and YOLOv8
Traffic safety is a major global concern. Helmet usage is a key factor i...
research
∙
04/13/2023
DeepSegmenter: Temporal Action Localization for Detecting Anomalies in Untrimmed Naturalistic Driving Videos
Identifying unusual driving behaviors exhibited by drivers during drivin...
research
∙
04/05/2023
Domain Generalization with Adversarial Intensity Attack for Medical Image Segmentation
Most statistical learning algorithms rely on an over-simplified assumpti...
research
∙
03/13/2023
TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testing
Colonoscopy is considered the most effective screening test to detect co...
research
∙
02/05/2023
Selecting the Best Optimizers for Deep Learning based Medical Image Segmentation
The goal of this work is to identify the best optimizers for deep learni...
research
∙
02/01/2023
The Past, Current, and Future of Neonatal Intensive Care Units with Artificial Intelligence
Artificial intelligence (AI), specifically a branch of AI called deep le...
research
∙
01/06/2023
RUPNet: Residual upsampling network for real-time polyp segmentation
Colorectal cancer is among the most prevalent cause of cancer-related mo...
research
∙
12/20/2022
Domain Generalization with Correlated Style Uncertainty
Though impressive success has been witnessed in computer vision, deep le...
research
∙
10/29/2022
Multi-Scale Fusion Methodologies for Head and Neck Tumor Segmentation
Head and Neck (H&N) organ-at-risk (OAR) and tumor segmentations are esse...
research
∙
10/24/2022
DilatedSegNet: A Deep Dilated Segmentation Network for Polyp Segmentation
Colorectal cancer (CRC) is the second leading cause of cancer-related de...
research
∙
08/15/2022
An Efficient Multi-Scale Fusion Network for 3D Organ at Risk (OAR) Segmentation
Accurate segmentation of organs-at-risks (OARs) is a precursor for optim...
research
∙
08/05/2022
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions
With the advent of the IoT, AI, and ML/DL algorithms, the data-driven me...
research
∙
07/19/2022
COVID-19 Detection from Respiratory Sounds with Hierarchical Spectrogram Transformers
Monitoring of prevalent airborne diseases such as COVID-19 characteristi...
research
∙
07/06/2022
Multi-Contrast MRI Segmentation Trained on Synthetic Images
In our comprehensive experiments and evaluations, we show that it is pos...
research
∙
06/22/2022
Video Analytics in Elite Soccer: A Distributed Computing Perspective
Ubiquitous sensors and Internet of Things (IoT) technologies have revolu...
research
∙
06/21/2022
Neural Transformers for Intraductal Papillary Mucosal Neoplasms (IPMN) Classification in MRI images
Early detection of precancerous cysts or neoplasms, i.e., Intraductal Pa...
research
∙
06/17/2022
TransResU-Net: Transformer based ResU-Net for Real-Time Colonoscopy Polyp Segmentation
Colorectal cancer (CRC) is one of the most common causes of cancer and c...
research
∙
06/16/2022
Video Capsule Endoscopy Classification using Focal Modulation Guided Convolutional Neural Network
Video capsule endoscopy is a hot topic in computer vision and medicine. ...
research
∙
06/13/2022
Automatic Polyp Segmentation with Multiple Kernel Dilated Convolution Network
The detection and removal of precancerous polyps through colonoscopy is ...
research
∙
06/01/2022
Dynamic Linear Transformer for 3D Biomedical Image Segmentation
Transformer-based neural networks have surpassed promising performance o...
research
∙
05/21/2022
Transformer based Generative Adversarial Network for Liver Segmentation
Automated liver segmentation from radiology scans (CT, MRI) can improve ...
research
∙
03/23/2022
Out of Distribution Detection, Generalization, and Robustness Triangle with Maximum Probability Theorem
Maximum Probability Framework, powered by Maximum Probability Theorem, i...
research
∙
02/03/2022
Enhancing Organ at Risk Segmentation with Improved Deep Neural Networks
Organ at risk (OAR) segmentation is a crucial step for treatment plannin...
research
∙
09/03/2021
Hierarchical 3D Feature Learning for Pancreas Segmentation
We propose a novel 3D fully convolutional deep network for automated pan...
research
∙
04/11/2021
Deformable Capsules for Object Detection
Capsule networks promise significant benefits over convolutional network...
research
∙
04/07/2021
Information Bottleneck Attribution for Visual Explanations of Diagnosis and Prognosis
Visual explanation methods have an important role in the prognosis of th...
research
∙
10/18/2020
Variational Capsule Encoder
We propose a novel capsule network based variational encoder architectur...
research
∙
09/07/2020
Brain Tumor Survival Prediction using Radiomics Features
Surgery planning in patients diagnosed with brain tumor is dependent on ...
research
∙
05/11/2020
Adipose Tissue Segmentation in Unlabeled Abdomen MRI using Cross Modality Domain Adaptation
Abdominal fat quantification is critical since multiple vital organs are...
research
∙
04/29/2020
The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset
Purpose: To organize a knee MRI segmentation challenge for characterizin...
research
∙
04/09/2020
Capsules for Biomedical Image Segmentation
Our work expands the use of capsule networks to the task of object segme...
research
∙
03/01/2020
Deep Learning for Musculoskeletal Image Analysis
The diagnosis, prognosis, and treatment of patients with musculoskeletal...
research
∙
01/10/2020
Diagnosing Colorectal Polyps in the Wild with Capsule Networks
Colorectal cancer, largely arising from precursor lesions called polyps,...
research
∙
10/16/2019
A Survey on Recent Advancements for AI Enabled Radiomics in Neuro-Oncology
Artificial intelligence (AI) enabled radiomics has evolved immensely esp...
research
∙
09/12/2019
Encoding High-Level Visual Attributes in Capsules for Explainable Medical Diagnoses
Deep neural networks are often called black-boxes due to their difficult...
research
∙
08/26/2019
Cross-modality Knowledge Transfer for Prostate Segmentation from CT Scans
Creating large scale high-quality annotations is a known challenge in me...
research
∙
08/18/2019
