Search
Search Results
-
A Domain-Free Semi-supervised Method for Myocardium Segmentation in 2D Echocardiography Sequences
Many deep learning methods have been applied in myocardium segmentation, however, the robustness of these algorithms is relatively low, especially...
-
Interpretability-Guided Data Augmentation for Robust Segmentation in Multi-centre Colonoscopy Data
Multi-centre colonoscopy images from various medical centres exhibit distinct complicating factors and overlays that impact the image content,...
-
Improving Automated Prostate Cancer Detection and Classification Accuracy with Multi-scale Cancer Information
Automated detection of prostate cancer via multi-parametric Magnetic Resonance Imaging (mp-MRI) could help radiologists in the detection and...
-
Automated Coarse-to-Fine Segmentation of Thoracic Duct Using Anatomy Priors and Topology-Guided Curved Planar Reformation
Recent studies have emphasized the importance of protecting thoracic duct during radiation therapy (RT), as dose distributions in thoracic duct may...
-
Towards Abdominal 3-D Scene Rendering from Laparoscopy Surgical Videos Using NeRFs
Given that a conventional laparoscope only provides a two-dimensional (2-D) view, the detection and diagnosis of medical ailments can be challenging....
-
More from Less: Self-supervised Knowledge Distillation for Routine Histopathology Data
Medical imaging technologies are generating increasingly large amounts of high-quality, information-dense data. Despite the progress, practical use...
-
History of the Research on Vehicle Automation in the United States
The first part of the book provides an historical overview of the research on vehicle automation in the United States. It starts with the early...
-
Deep Network-Based Computational Transfer of Artistic Style in Art Analysis
Some of the most successful computational approaches to the analysis of natural photographs and videos are based on deep neural networks trained with...
-
Emotion in the Neutral Face: Applications for Computer Vision and Aesthetics
Oftentimes “neutral” is classified as a baseline for other emotive categories such as angry, happy, or sad. Yet, neutrality has been the least...
-
Prediction of Failure in Scania Truck Due to Air Pressure System Failure
This paper addresses the prediction of failures in the air pressure system of Scania trucks to minimize associated operating costs. A custom ensemble...
-
Coverage Criteria Based Testing of IoT Applications
IoT applications are ubiquitous and many of them are large in scale, involving processing and storage of real-time sensor data and various events....
-
Time Distributed Multiview Representation for Speech Emotion Recognition
In recent years, speech-emotion recognition (SER) techniques have gained importance, mainly in human-computer interaction studies and applications....
-
Spatial-Temporal Graph Transformer for Surgical Skill Assessment in Simulation Sessions
Automatic surgical skill assessment has the capacity to bring a transformative shift in the assessment, development, and enhancement of surgical...
-
Knowledge Distillation of Vision Transformers and Convolutional Networks to Predict Inflammatory Bowel Disease
Inflammatory bowel disease is a chronic disease of unknown cause that can affect the entire gastrointestinal tract, from the mouth to the anus. It is...
-
Towards a Robust Solution for the Supermarket Shelf Audit Problem: Obsolete Price Tags in Shelves
Shelf auditing holds significant importance within the retail industry’s industrial sector. It encompasses various processes carried out by human...
-
Feature Importance for Clustering
The literature on cluster analysis methods evaluating the contribution of features to the emergence of the cluster structure for a given clustering...
-
IR-Guided Energy Optimization Framework for Depth Enhancement in Time of Flight Imaging
This paper introduces an optimization energy framework based on infrared guidance to improve depth consistency in Time of Flight image systems. The...
-
Seabream Freshness Classification Using Vision Transformers
Many different cultures and countries have fish as a central piece in their diet, particularly in coastal countries such as Portugal, with the...
-
Towards Robust Defect Detection in Casting Using Contrastive Learning
Defect detection plays a vital role in ensuring product quality and safety within industrial casting processes. In these dynamic environments, the...
-
Replay-Based Online Adaptation for Unsupervised Deep Visual Odometry
Online adaptation is a promising paradigm that enables dynamic adaptation to new environments. In recent years, there has been a growing interest in...