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06/21/2023
Annotating Ambiguous Images: General Annotation Strategy for Image Classification with Real-World Biomedical Validation on Vertebral Fracture Diagnosis
While numerous methods exist to solve classification problems within cur...
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05/22/2023
Label Smarter, Not Harder: CleverLabel for Faster Annotation of Ambiguous Image Classification with Higher Quality
High-quality data is crucial for the success of machine learning, but la...
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07/28/2022
Automated Classification of Nanoparticles with Various Ultrastructures and Sizes
Accurately measuring the size, morphology, and structure of nanoparticle...
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07/22/2022
Opportunistic hip fracture risk prediction in Men from X-ray: Findings from the Osteoporosis in Men (MrOS) Study
Osteoporosis is a common disease that increases fracture risk. Hip fract...
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07/13/2022
Beyond Hard Labels: Investigating data label distributions
High-quality data is a key aspect of modern machine learning. However, l...
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03/09/2022
Simulation of Plenoptic Cameras
Plenoptic cameras enable the capturing of spatial as well as angular col...
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03/09/2022
Creating Realistic Ground Truth Data for the Evaluation of Calibration Methods for Plenoptic and Conventional Cameras
Camera calibration methods usually consist of capturing images of known ...
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03/09/2022
Ray Tracing-Guided Design of Plenoptic Cameras
The design of a plenoptic camera requires the combination of two dissimi...
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10/13/2021
Fuzzy Overclustering: Semi-Supervised Classification of Fuzzy Labels with Overclustering and Inverse Cross-Entropy
Deep learning has been successfully applied to many classification probl...
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10/13/2021
Life is not black and white – Combining Semi-Supervised Learning with fuzzy labels
The required amount of labeled data is one of the biggest issues in deep...
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07/07/2021
Learning Stixel-based Instance Segmentation
Stixels have been successfully applied to a wide range of vision tasks i...
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06/30/2021
S2C2 - An orthogonal method for Semi-Supervised Learning on fuzzy labels
Semi-Supervised Learning (SSL) can decrease the amount of required label...
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12/03/2020
Beyond Cats and Dogs: Semi-supervised Classification of fuzzy labels with overclustering
A long-standing issue with deep learning is the need for large and consi...
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09/18/2020
An Analysis by Synthesis Method that Allows Accurate Spatial Modeling of Thickness of Cortical Bone from Clinical QCT
Osteoporosis is a skeletal disorder that leads to increased fracture ris...
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05/21/2020
Panoptic Instance Segmentation on Pigs
The behavioural research of pigs can be greatly simplified if automatic ...
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05/04/2020
MorphoCluster: Efficient Annotation of Plankton images by Clustering
In this work, we present MorphoCluster, a software tool for data-driven,...
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03/19/2020
DRST: Deep Residual Shearlet Transform for Densely Sampled Light Field Reconstruction
The Image-Based Rendering (IBR) approach using Shearlet Transform (ST) i...
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02/20/2020
A survey on Semi-, Self- and Unsupervised Techniques in Image Classification
While deep learning strategies achieve outstanding results in computer v...
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07/30/2019
2D and 3D Segmentation of uncertain local collagen fiber orientations in SHG microscopy
Collagen fiber orientations in bones, visible with Second Harmonic Gener...
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12/03/2018
An Analysis by Synthesis Approach for Automatic Vertebral Shape Identification in Clinical QCT
Quantitative computed tomography (QCT) is a widely used tool for osteopo...
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04/02/2017
