Search
Search Results
-
Correction to: Frozen-to-Paraffin: Categorization of Histological Frozen Sections by the Aid of Paraffin Sections and Generative Adversarial Networks
In an older version of this paper, there was an error in the affiliation of the author Sebastien Couillard-Despres. This has been corrected.
-
Correction to: Interactive Segmentation via Deep Learning and B-Spline Explicit Active Surfaces
The original version of this chapter was revised. The figure 2 with missing information was corrected.
-
Interpretable Lung Cancer Diagnosis with Nodule Attribute Guidance and Online Model Debugging
Accurate nodule labeling and interpretable machine learning are important for lung cancer diagnosis. To circumvent the label ambiguity issue of...
-
Beyond Voxel Prediction Uncertainty: Identifying Brain Lesions You Can Trust
Deep neural networks have become the gold-standard approach for the automated segmentation of 3D medical images. Their full acceptance by clinicians...
-
Interpretable Vertebral Fracture Diagnosis
Do black-box neural network models learn clinically relevant features for fracture diagnosis? The answer not only establishes reliability, quenches...
-
Do Pre-processing and Augmentation Help Explainability? A Multi-seed Analysis for Brain Age Estimation
The performance of predicting biological markers from brain scans has rapidly increased over the past years due to the availability of open datasets...
-
Fast Image-Level MRI Harmonization via Spectrum Analysis
Pooling structural magnetic resonance imaging (MRI) data from different imaging sites helps increase sample size to facilitate machine learning based...
-
U-Net vs Transformer: Is U-Net Outdated in Medical Image Registration?
Due to their extreme long-range modeling capability, vision transformer-based networks have become increasingly popular in deformable image...
-
AMLP-Conv, a 3D Axial Long-range Interaction Multilayer Perceptron for CNNs
While Convolutional neural networks (CNN) have been the backbone of medical image analysis for years, their limited long-range interaction restrains...
-
Driving Points Prediction for Abdominal Probabilistic Registration
Inter-patient abdominal registration has various applications, from pharmakinematic studies to anatomy modeling. Yet, it remains a challenging...
-
Vertebrae Localization, Segmentation and Identification Using a Graph Optimization and an Anatomic Consistency Cycle
Vertebrae localization, segmentation and identification in CT images is key to numerous clinical applications. While deep learning strategies have...
-
A Novel Two-Stage Multi-view Low-Rank Sparse Subspace Clustering Approach to Explore the Relationship Between Brain Function and Structure
Understanding the relationship between brain function and structure is vital important in the field of brain image analysis. It elucidates the...
-
Intelligent Masking: Deep Q-Learning for Context Encoding in Medical Image Analysis
The need for a large amount of labeled data in the supervised setting has led recent studies to utilize self-supervised learning to pre-train deep...
-
Adaptive Unified Contrastive Learning for Imbalanced Classification
Medical image classifiers often suffer from the imbalanced class distribution of datasets. For example, among the 7 classes in the ISIC2018 skin...
-
Federated Tumor Segmentation with Patch-Wise Deep Learning Model
A chief challenge of deep learning in computer-aided diagnosis is to collect a large heterogeneous dataset from multiple hospitals for constructing a...
-
TransWS: Transformer-Based Weakly Supervised Histology Image Segmentation
Recently, weakly supervised histology image segmentation has received increasingly more attentions. Most solutions utilize a convolutional neural...
-
Patch-Level Instance-Group Discrimination with Pretext-Invariant Learning for Colitis Scoring
Inflammatory bowel disease (IBD), in particular ulcerative colitis (UC), is graded by endoscopists and this assessment is the basis for risk...
-
CT2CXR: CT-based CXR Synthesis for Covid-19 Pneumonia Classification
Chest X-ray (CXR) is a common imaging modality for examination of pneumonia. However, some pneumonia signs which are visible in CT may not be clearly...
-
Predicting Age-related Macular Degeneration Progression with Longitudinal Fundus Images Using Deep Learning
Accurately predicting a patient’s risk of progressing to late age-related macular degeneration (AMD) is difficult but crucial for personalized...
-
Plug-and-Play Shape Refinement Framework for Multi-site and Lifespan Brain Skull Strip**
Skull strip** is a crucial prerequisite step in the analysis of brain magnetic resonance images (MRI). Although many excellent works or tools have...