Machine Learning in Medical Imaging
13th International Workshop, MLMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings
Page
%P
32 Result(s)
within
Computer Appl. in Social and Behavioral Sciences
Machine Learning
**lian **
-
Chapter and Conference Paper
COVID Detection and Severity Prediction with 3D-ConvNeXt and Custom Pretrainings
Since COVID strongly affects the respiratory system, lung CT-scans can be used for the analysis of a patients health. We introduce a neural network for the prediction of the severity of lung damage and the det...
-
Chapter and Conference Paper
Two-Aspect Information Interaction Model for ABAW4 Multi-task Challenge
The task of ABAW is to predict frame-level emotion descriptors from videos: discrete emotional state; valence and arousal; and action units. In this paper, we propose the solution to the Multi-Task Learning (M...
-
Chapter and Conference Paper
Weakly Supervised Intracranial Hemorrhage Segmentation Using Hierarchical Combination of Attention Maps from a Swin Transformer
Intracranial hemorrhage (ICH) is a potentially life-threatening emergency due to various causes. Rapid and accurate diagnosis of ICH is critical to deliver timely treatments and improve patients’ survival rate...
-
Book and Conference Proceedings
-
Chapter and Conference Paper
Pruning in the Face of Adversaries
The vulnerability of deep neural networks against adversarial examples – inputs with small imperceptible perturbations – has gained a lot of attention in the research community recently. Simultaneously, the nu...
-
Chapter and Conference Paper
Visual Cross-View Metric Localization with Dense Uncertainty Estimates
This work addresses visual cross-view metric localization for outdoor robotics. Given a ground-level color image and a satellite patch that contains the local surroundings, the task is to identify the location...
-
Chapter and Conference Paper
Joint Graph Convolution for Analyzing Brain Structural and Functional Connectome
The white-matter (micro-)structural architecture of the brain promotes synchrony among neuronal populations, giving rise to richly patterned functional connections. A fundamental problem for systems neuroscien...
-
Chapter and Conference Paper
Computer-Aided Tuberculosis Diagnosis with Attribute Reasoning Assistance
Although deep learning algorithms have been intensively developed for computer-aided tuberculosis diagnosis (CTD), they mainly depend on carefully annotated datasets, leading to much time and resource consumpt...
-
Chapter and Conference Paper
Open Innovation within Life Sciences: Industry-Specific Challenges and How to Improve Interaction with External Ecosystems
While Open Innovation (OI) and user integration have been applied across industries over the last two decades more professionally and digitally, the life science (LS) sector has various obstacles and regulatio...
-
Chapter and Conference Paper
Personalized Recommendation Based on Scholars’ Similarity and Trust Degree
With the rapid development of online social networks, academic social networks (ASNs) platforms are increasingly favored by researchers. For the scholar services built on the ASNs, recommending personalized re...
-
Chapter and Conference Paper
Bidirectional Regression for Arbitrary-Shaped Text Detection
Arbitrary-shaped text detection has recently attracted increasing interests and witnessed rapid development with the popularity of deep learning algorithms. Nevertheless, existing approaches often obtain inacc...
-
Chapter and Conference Paper
ICDAR 2021 Competition on On-Line Signature Verification
This paper describes the experimental framework and results of the ICDAR 2021 Competition on On-Line Signature Verification (SVC 2021). The goal of SVC 2021 is to evaluate the limits of on-line signature verif...
-
Chapter and Conference Paper
Deep Learning-Based Bias Transfer for Overcoming Laboratory Differences of Microscopic Images
The automated analysis of medical images is currently limited by technical and biological noise and bias. The same source tissue can be represented by vastly different images if the image acquisition or proces...
-
Chapter and Conference Paper
Confound Removal and Normalization in Practice: A Neuroimaging Based Sex Prediction Case Study
Machine learning (ML) methods are increasingly being used to predict pathologies and biological traits using neuroimaging data. Here controlling for confounds is essential to get unbiased estimates of generali...
-
Chapter and Conference Paper
Cooperative Scheduling Strategy of Container Resources Based on Improved Adaptive Differential Evolution Algorithm
The resource scheduling of the container cloud system can be handled as a path planning problem. In response to the need for container resource scheduling that comprehensively considers the interests of users ...
-
Chapter and Conference Paper
MiikeMineStamps: A Long-Tailed Dataset of Japanese Stamps via Active Learning
Mining existing image datasets with rich information can help advance knowledge across domains in the humanities and social sciences. In the past, the extraction of this information was often prohibitively exp...
-
Chapter and Conference Paper
Sketchy Scene Captioning: Learning Multi-level Semantic Information from Sparse Visual Scene Cues
To enrich the research about sketch modality, a new task termed Sketchy Scene Captioning is proposed in this paper. This task aims to generate sentence-level and paragraph-level descriptions for a sketchy scen...
-
Chapter and Conference Paper
Computer Assisted Student Interpreters’ Self-assessment: Ways and Inspiration
This article explores self-assessment of student interpreters by using a CAIT online platform. The aim of this study is to investigate the effective supporting ways of online platform in the development of sel...
-
Chapter and Conference Paper
3D Scene Reconstruction from a Single Viewport
We present a novel approach to infer volumetric reconstructions from a single viewport, based only on an RGB image and a reconstructed normal image. To overcome the problem of reconstructing regions in 3D that...
-
Chapter and Conference Paper
Structural Invariants in Individuals Language Use: The “Ego Network” of Words
The cognitive constraints that humans exhibit in their social interactions have been extensively studied by anthropologists, who have highlighted their regularities across different types of social networks. W...
