220 citations · 371 across the 16 of their papers we have counts for
4 papers · 1 filter
Multisensory extended reality applications offer benefits for volumetric biomedical image analysis in research and medicine
Kathrin Krieger, Jan Egger, Jens Kleesiek +2
3D data from high-resolution volumetric imaging is a central resource for diagnosis and treatment in modern medicine. While the fast development of AI enhances imaging and analysis…
MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision
Jianning Li, Zongwei Zhou, Jiancheng Yang +154
Prior to the deep learning era, shape was commonly used to describe the objects. Nowadays, state-of-the-art (SOTA) algorithms in medical imaging are predominantly diverging from co…
Masked Diffusion as Self-supervised Representation Learner
Zixuan Pan, Jianxu Chen, Yiyu Shi
Denoising diffusion probabilistic models have recently demonstrated state-of-the-art generative performance and have been used as strong pixel-level representation learners. This p…
EfficientBioAI: Making Bioimaging AI Models Efficient in Energy, Latency and Representation
Yu Zhou, Justin Sonneck, Sweta Banerjee +4
Artificial intelligence (AI) has been widely used in bioimage image analysis nowadays, but the efficiency of AI models, like the energy consumption and latency is not ignorable due…