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.
PCXR-Copilot: Pediatric ICU Chest X-Rays Without the Device Clutter

Masks tubes and wires, paints them out, then scores lung water and body-wall edema. Live at Boston Children’s. Code not out yet.
TB-PET-DDS: A Diffusion Prior for Low-Count Total-Body PET

A CT-conditioned diffusion prior plus a list-mode PET data step, tested on one total-body FDG scan at 10% counts. No code yet.
NV-Generate-Body: Synthetic Whole-Body CT Masks You Can Dial In

NVIDIA’s NV-Generate-Body draws whole-body CT label maps with the organ sizes, tumors, sex and BMI you ask for. Code Apache 2.0, weights public.
GSMR3D: One Model Turns Thick-Slice Brain MRI Into 1 mm Volumes

GSMR3D rebuilds thick-slice brain MRI on a 1 mm grid at any spacing, one model per contrast, and kept small metastases detectable.
LGGS: Faster Follow-Up Brain MRI Using the Patient’s Last Scan

LGGS rebuilds heavily undersampled follow-up brain MRI using the patient’s prior exam as a guide, without copying it into the new image. arXiv:2610.22643.
UniField++: Making Low-Field Brain MRI Look Like 3T and 7T

UniField++ turns 64 mT brain MRI into virtual 3T and 3T into virtual 7T, with a vision-language planner that flags regions likely to go wrong. arXiv:2610.22982.
NoduleFlow: Automatic Lung Nodule Masks Across Follow-Up CT

NoduleFlow chains four public, frozen models to detect, score and segment lung nodules across a patient’s follow-up CTs with no clicks. arXiv:2610.16548.
MoFD: Synthetic Contrast-Enhanced Brain MRI From T1, T2 and FLAIR

MoFD predicts a contrast-enhanced T1 brain MRI from non-contrast T1, T2 and FLAIR with a 3D U-Net that mixes sequence features and their differences. arXiv:2610.21703.
DeBoneDiT: Soft-Tissue Chest X-Rays Without Dual-Energy Hardware

DeBoneDiT turns one standard PA chest X-ray into a dual-energy style soft-tissue image in about 3.4 seconds. Apache-2.0 code and weights, arXiv:2610.19466.