MRI-Free Amyloid PET Quantification With Calibrated Error Bars
Brain CT becomes a synthetic T1 for FreeSurfer, and an ensemble with conformal calibration flags the amyloid calls that need an MRI.
Pancreatic Duct Width From 3D MRCP, With a Review Flag
A two-stage 3D model segments the main pancreatic duct on MRCP, and ensemble disagreement marks the scans a radiologist should check.
Pix2Point: Spine X-ray Landmarks From Dense Pixel Embeddings
Every pixel gets an embedding and every vertebral corner a prototype; a spine shape prior then decides which corner is which.
MPF Mapping: A Myelin Readout From Routine Brain MRI
A self-supervised network turns T1w, T2w and FLAIR scans into macromolecular pool fraction maps, with public code and weights.
Hippocampal Segmentation Ensembles That Flag Their Own Failures
Averaging InnerEye, FastSurfer and HippoSeg gives calibrated hippocampus masks plus an entropy score that sends doubtful cases to review.
MedBOE: Rebuilding the Full Body Surface From Truncated PET/CT
A training-free SMPL fit fills in arms and hands cut off by the CT field of view, so body size metrics stop coming out short.
QICOM: Image Quality, Blinded Reads and Radiomics in One App
Open-source desktop tool that keeps metrics, reader scores and radiomic features tied to the same images. Apache 2.0.
CAP-DIR: Adaptive Radiotherapy Registration That Reads the Plan
Uses planning contours, dose, case notes and earlier fractions to carry contours onto repeat CTs. No code yet; weights stay private.
One End-Diastole Cardiac MRI Frame In, a Full 30-Frame Beating-Heart Cine Out Without ECG Gating by Warping the Real Pixels With a Phase-Conditioned Flow Model
Give PhaseFlow one end-diastolic cardiac MRI frame and it generates a 30-frame cine of the heartbeat with no ECG gating. It predicts a motion field and warps the real pixels, which keeps the image sharp, and it takes its timing from a mean phase curve for the patient’s pathology group. Tested on ACDC with 30 test patients and one training run, the ejection fraction error is 17.79 points, above the paper’s own clinical threshold of about 10, and I found no public code. Wang et al., arXiv:2610.09397.
Handheld Endoscope or Microscope Video In, One Wide-Field Tissue Mosaic Out at About Ten Frames per Second From a Modality-Tuned Optical Flow Model
Feed FloVMos video from a handheld endoscope, dermoscope or confocal microscope and it stitches the frames into one growing wide-field mosaic, at about ten frames per second on 1 megapixel frames in the authors’ research code. The trick is fine-tuning an optical flow network per device on synthetic motion, so no hand-labelled flow is needed. Several real test sets are one or two videos, accuracy is a feature distance check, a GPU is required, and the repository linked in the paper returned a 404 when I checked. Liu et al., arXiv:2610.04258.