3DSlicer
PulseAugur coverage of 3DSlicer — every cluster mentioning 3DSlicer across labs, papers, and developer communities, ranked by signal.
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Biomedical imaging AI progress stalled by data silos, not model limitations
The primary challenge in advancing biomedical imaging AI is not the development of more sophisticated models, but rather the accessibility and usability of the data itself. Imaging data is often siloed within hospital s…
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Children's Hospital uses NVIDIA AI to model pediatric hearts in seconds
The Children's Hospital of Philadelphia (CHOP) is leveraging open-source AI tools, specifically the MONAI framework co-founded by NVIDIA, to create detailed 3D models of children's hearts in seconds. This technology sig…
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New P3CA method probes vision foundation model embeddings
Researchers have developed P3CA, a novel method for interpreting the high-dimensional spatial embeddings generated by vision foundation models. This encoder-agnostic technique allows for local probing of feature tensors…
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AI framework enhances intracranial aneurysm detection and segmentation · arXiv paper
Researchers have developed a novel multi-task learning framework for the classification and segmentation of intracranial aneurysms. This framework simultaneously performs multi-label classification and multi-class segme…
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New framework quantifies radiation dose uncertainty in cervical cancer therapy
Researchers have developed IMPACT-DoseAcc, a new framework for estimating cumulative radiation dose in adaptive radiotherapy (ART) for cervical cancer. This system quantifies uncertainties arising from image registratio…
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Deep learning aids radiomic feature selection for lung cancer detection
Researchers have developed a new framework called Gradient-Loss Recursive Feature Elimination (GL-RFE) to improve the selection of radiomic features for lung cancer stage detection. This method uses a deep neural networ…