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Anatomy‐Guided, Modality‐Agnostic Segmentation of Neuroimaging Abnormalities Open
Magnetic resonance imaging (MRI) offers multiple sequences that provide complementary views of brain anatomy and pathology. However, real‐world datasets often exhibit variability in sequence availability due to clinical and logistical cons…
Anatomy-guided, modality-agnostic segmentation of neuroimaging abnormalities Open
Magnetic resonance imaging (MRI) offers multiple sequences that provide complementary views of brain anatomy and pathology. However, real-world datasets often exhibit variability in sequence availability due to clinical and logistical cons…
View article: AI-based differential diagnosis of dementia etiologies on multimodal data
AI-based differential diagnosis of dementia etiologies on multimodal data Open
Differential diagnosis of dementia remains a challenge in neurology due to symptom overlap across etiologies, yet it is crucial for formulating early, personalized management strategies. Here, we present an artificial intelligence (AI) mod…
View article: VisDA 2022 Challenge: Domain Adaptation for Industrial Waste Sorting
VisDA 2022 Challenge: Domain Adaptation for Industrial Waste Sorting Open
Label-efficient and reliable semantic segmentation is essential for many real-life applications, especially for industrial settings with high visual diversity, such as waste sorting. In industrial waste sorting, one of the biggest challeng…
Ani-GIFs: A benchmark dataset for domain generalization of action recognition from GIFs Open
Deep learning models perform remarkably well for the same task under the assumption that data is always coming from the same distribution. However, this is generally violated in practice, mainly due to the differences in data acquisition t…
Ani-GIFs: A Benchmark Dataset for Domain Generalization of Action Recognition from GIFs Open
Deep learning models perform remarkably well for the same task under the assumption that data is always coming from the same distribution. However, this is generally violated in practice, mainly due to the differences in the data acquisiti…