Data Engineering in Medical Imaging

.- Surgical Vision World Model.
.- Overcoming Data Scarcity: Brain Tumor Segmentation in Pediatric and African Populations.
.- PiMPiC: An Overlap-Aware Contrastive Learning Framework for 3D Patch-Based Medical Image Segmentation.
.- DiffusionXRay: A Diffusion and GAN-Based Approach for Enhancing Digitally Reconstructed Chest Radiographs.
.- SingleStrip: learning skull-stripping from a single labeled example.
.- Kvasir-VQA-x1: A Multimodal Dataset for Medical Reasoning and Robust MedVQA in Gastrointestinal Endoscopy.
.- Do Edges Matter? Investigating Edge-Enhanced Pre-Training for Medical Image Segmentation.
.- Enhancing Malaria-Infected Red Blood Cell Detection with Domain-Aware Generative Augmentation.
.- Analysis of Transferability Estimation Metrics for Surgical Phase Recognition.
.- Expert-Guided Explainable Few-Shot Learning for Medical Image Diagnosis.
.- Lesion-Aware Visual-Language Fusion for Automated Image Captioning of Ulcerative Colitis Endoscopic Examinations.
.- Zero-shot Monocular Metric Depth for Endoscopic Images.
.- Robust Federated Anomaly Detection Using Dual-Signal Autoencoders: Application to Kidney Stone Identification in Ureteroscopy.
.- RadSURF: Automated Synthesis of Radiographs and Surface Representation of Vertebrae for Single View Reconstruction.
.- A Dataset and Benchmark for Enhancing Retained Foreign Object Detection Through Physics-based Image Synthesis.
.- Unmasking Interstitial Lung Diseases: Leveraging Masked Autoencoders for Diagnosis.
.- Robust Early Detection of Barrett’s Neoplasia: Addressing Low-Prevalence Challenges with Generative Modeling.
.- Instance-Balanced Patch Sampling for Whole-Body Lesion Segmentation.
.- Calibrated Self-supervised Vision Transformers Improve Intracranial Arterial Calcification Segmentation from Clinical CT Head Scans.
.- Estimating 2D Keypoints of Surgical Tools Using Vision-Language Models with Low-Rank Adaptation.
.- Exploring Pre-training Across Domains for Few-Shot Surgical Skill Assessment.
.- Effect of Data Augmentation on Conformal Prediction for Diabetic Retinopathy.
.- Addressing Bias in VLMs for Glaucoma Detection Without Protected Attribute Supervision.
.- Balancing Redundancy and Diversity: An In-Depth Analysis of Active Learning for Laparoscopic Video Segmentation.