Guides, project breakdowns, and lessons learned from building medical imaging platforms — written by the PYCAD team.
Hang A4C echo cine and get EF from raw video. Explicit LV mask channels sit above the segmentation ceiling and do not beat direct regression. Khouzani et al., arXiv:2609.19730.
SonoBase hangs interactive ultrasound overlays from one foundation pretrained on SonoCorpus, then derives EF and fetal biometry that hold under device and site shift. Qin et al., arXiv:2609.19230.
IMVS couples an online-adapted 2D Slice Mask Adapter with a frozen Volume Mask Tracker so each scribble updates the model for the slices ahead across 8 CT/MRI datasets. Reen, Borkar, Mahapatra, arXiv:2609.16775.
One compact 3D NeuroTS-Net hangs enhancing, non-enhancing, cyst, and edema overlays on BraTS-PEDs mpMRI without external data or pretrained weights. Peteleaza et al., arXiv:2609.16873.
Shared nnU-Net plus CT-MRI domain alignment on 4,604 scans; freeze the encoder and train head-body-tail from MRI-only subregion labels, then hang the same overlay language on CT. Hong et al., arXiv:2609.13043.
MedVA turns clinical text into an ROI intent graph, pulls TotalSegmentator and VoxTell masks on the source volume, then adjusts opacity with a volume visibility score. An et al., arXiv:2609.14874.
We build custom medical imaging platforms — advanced DICOM viewers, AI segmentation, and the clinical systems around them.
Copyright © 2026 PYCAD. All Rights Reserved.