4 papers
Equi-ViT: Rotational Equivariant Vision Transformer for Robust Histopathology Analysis
Fuyao Chen, Yuexi Du, Elèonore V. Lieffrig +2
Vision Transformers (ViTs) have gained rapid adoption in computational pathology for their ability to model long-range dependencies through self-attention, addressing the limitatio…
PET Head Motion Estimation Using Supervised Deep Learning with Attention
Zhuotong Cai, Tianyi Zeng, Jiazhen Zhang +8
Head movement poses a significant challenge in brain positron emission tomography (PET) imaging, resulting in image artifacts and tracer uptake quantification inaccuracies. Effecti…
Spatially-Aware Evaluation of Segmentation Uncertainty
Tal Zeevi, Eléonore V. Lieffrig, Lawrence H. Staib +1
Uncertainty maps highlight unreliable regions in segmentation predictions. However, most uncertainty evaluation metrics treat voxels independently, ignoring spatial context and ana…
Head Motion Degrades Machine Learning Classification of Alzheimer's Disease from Positron Emission Tomography
Eléonore V. Lieffrig, Takuya Toyonaga, Jiazhen Zhang +1
Brain positron emission tomography (PET) imaging is broadly used in research and clinical routines to study, diagnose, and stage Alzheimer's disease (AD). However, its potential ca…