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09/07/2023
Anatomy-informed Data Augmentation for Enhanced Prostate Cancer Detection
Data augmentation (DA) is a key factor in medical image analysis, such a...
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07/05/2023
Exploring new ways: Enforcing representational dissimilarity to learn new features and reduce error consistency
Independently trained machine learning models tend to learn similar feat...
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06/27/2023
Taming Detection Transformers for Medical Object Detection
The accurate detection of suspicious regions in medical images is an err...
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04/09/2023
Transformer Utilization in Medical Image Segmentation Networks
Owing to success in the data-rich domain of natural images, Transformers...
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03/25/2023
MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation
The medical imaging community generates a wealth of datasets, many of wh...
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03/20/2023
Accurate Detection of Mediastinal Lesions with nnDetection
The accurate detection of mediastinal lesions is one of the rarely explo...
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03/17/2023
MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation
There has been exploding interest in embracing Transformer-based archite...
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11/04/2022
MONAI: An open-source framework for deep learning in healthcare
Artificial Intelligence (AI) is having a tremendous impact across most a...
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06/01/2021
nnDetection: A Self-configuring Method for Medical Object Detection
Simultaneous localisation and categorization of objects in medical image...
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04/09/2021
Exploration of Spanish Olive Oil Quality with a Miniaturized Low-Cost Fluorescence Sensor and Machine Learning Techniques
Extra virgin olive oil (EVOO) is the highest quality of olive oil and is...
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06/14/2019