FID has many limitations when applied to medical images (e.g., misalignment with downstream tasks). Introducing the Fréchet Radiomic Distance (FRD): a metric designed from the ground up for better characterizing medical images, led by me and Richard Osuala! Code/paper: github.com/RichardObi/f...

Introducing SLM-SAM 2, led by Yuwen Chen: a new video object segmentation method for medical imaging that speeds up annotation by accurately propagating labels from a single slice across the whole volume. [Code: github.com/mazurowski-l..., paper: www.arxiv.org/abs/2505.01854 ]. More info next:

Excited to share my NeurIPS SciForDL paper on how hidden repr. intrinsic dimension evolves through model depth! openreview.net/forum?id=trc... A surprising finding: the peak intrinsic dim. is ~a constant fraction of the input data’s intrinsic dim., across diverse datasets + models! (1/3)

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Picking the right explainable AI method for your computer vision task? Wondering about its evaluation reliability? 🎯 Then you might be interested in our latest #neurips2024 publication on LATEC, a (meta-)evaluation benchmark for XAI methods and metrics! 📄 arxiv.org/abs/2409.16756 🧵(1/3)