Image and Video Processing

eess.IV

Formation, processing, analysis, and display of images and video.

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Whole-Study MIL Improves Prenatal CHD Screening

Masked-autoencoder pre-training, disease-robust cardiac-frame gating, and transformer pooling produce study-level CHD predictions without clinician-selected frames.

Oct 10, 20264 min2609.31376

ORION-CMR Delivers On-Scanner Cardiac MRI Reports in 90 Seconds

A pretrained CMR foundation model combines image analysis with local language-model reporting, reaching 81.4% expert agreement across a 68-subject clinical cohort.

Sep 24, 20264 min2609.23950

DICOM Packaging Extends NLST CT Annotations to 26,194 Patients

Three IDC analysis-result datasets combine standardized DICOM segmentations, measurements, and viewers, making NLST-derived annotations queryable without local image-processing infrastructure.

Sep 21, 20264 min2609.10858 Code available

Bidirectional Memory Improves Thoracic Contouring and Clinical Workflow

An anatomy-change-aware 2.5D model uses bidirectional slice memory and uncertainty-guided review to cut reader contouring time by 75–80% in a 17-oncologist study.

Sep 16, 20264 min2609.16036

CARDINAL Improves Long-Horizon Risk Prediction From Cardiac CT

Nested anatomical embeddings from non-contrast cardiac CT reached 0.866 AUROC for 10-year MACE prediction, exceeding the strongest engineered-imaging baseline by 0.040.

Sep 14, 20264 min2608.27690

Surgical Pretraining Improves Adapted Robotic Video Encoders

Continued V-JEPA-2.1 pretraining on approximately 2,650 hours of surgical video improves partially fine-tuned performance across six robotic-surgery task families.

Sep 1, 20264 min2608.31048

Refined Labels Shift Pulmonary Embolism Segmentation Scores

Radiologist-reviewed masks raise measured nnU-Net Dice scores by 0.143–0.188, exceeding score changes from altering training-data composition.

Aug 30, 20265 min2608.24486

Expert Gaze Improves PET/CT Lesion Segmentation

A 60 Hz eye-tracking dataset links radiologists’ decision windows to lesions, raising a 3D nnU-Net baseline from 0.6008 to 0.6819 Dice.

Aug 20, 20264 min2603.00162

Supervision Audits Expose Chest X-Ray Label Failure

Auditing report-derived MIMIC-CXR labels against radiologist image review found only 1% case capture; a curated-cohort DenseNet121 reached ROC-AUC 0.853.

Aug 15, 20264 min2608.10084

Reference Choices Reshuffle Chest X-Ray Model Rankings

Paired image and report annotations expose label-source bias, including 59% of image-positive findings absent from reports.

Jul 31, 20265 min2607.26333