LoRe-MIM: Pretraining Whole-Body PET/CT on Unlabeled Scans
A masked-image pretext that swaps PET and CT blocks helps a SwinUNETR find liver and bone lesions and drop false calls.
Self-Training Coronary Vessel Masks With Pre-Contrast Frames
An nnU-Net labels a new hospital’s angiograms, and the frame before contrast arrives flags the branches it missed.
RepConTUR: Report-Prompted 3D Tumor Contours for Abdominal CT
The report names the liver segment or pancreas region, and a 3D model contours that tumor with fewer stray masks elsewhere.
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.
Spine MRI-to-CT Synthesis With Vertebra-Matched Pseudo-Pairs
Unpaired MRI and CT slices are matched vertebra by vertebra, translated with adversarial diffusion, then cleaned up in 3D.
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.
CTBakeGS: Shareable 3D CT Renderings Without Training
A browser tool bakes lit CT volume renderings into standard Gaussian-splat files in seconds, with no training and MIT code.
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.
ReSeg: Organ Masks on CT, MRI and PET Without Real Training Scans
Trained only on synthetic volumes built from organ masks, it outlines liver, spleen and kidneys on CT, MRI and PET. MIT code, no weights.