Medical Image Understanding and Analysis

.- Image-guided Diagnosis .

.- FD-SSD: Semi-Supervised Detection of Bone Fenestration and Dehiscence in Intraoral Images.

.- Interpretable Prediction of Lymph Node Metastasis in Rectal Cancer MRI Using Variational Autoencoders.

.- Self-Guided SwinTransformer Improves Breast Cancer Detection Through Iterative Attention-Based Zooming.

.- Can AI Be Faster, Accurate, and Explainable? SpikeNet Makes It Happen.

.- A Novel Feature-Prioritized Loss Function for Enhanced Pneumonia Segmentation in Chest X-rays.

.- Bridging Accuracy and Explainability: A SHAP-Enhanced CNN for Skin Cancer Diagnosis.

.- Multi-Scale WSI Analysis: A Cascade Framework for Efficient Breast Cancer Metastasis Detection.

.- Learning to Harmonize Cross-vendor X-ray Images by Non-linear Image Dynamics Correction.

.- Modified CBAM: Sub-Block Pooling for Improved Channel and Spatial Attention.

.- WSI-AL: A Novel Active Learning Framework for Whole Slide Image Selection.

.- A Deep-learning Approach for Diagnosing and Grading Ankylosing Spondylitis Sacroiliitis by X-ray Images.

.- Towards Breast Tumor Aggressiveness Classification in Digital Mammograms Using Boundary-Aware Segmentation and Feature Analysis.

.- Image-guided Intervention .

.- Joint Dento-Facial Shape Model.

.- Out-of-Distribution Detection in Gastrointestinal Vision by Estimating Nearest Centroid Distance Deficit.

.- Deep Learning-Driven Pipeline for Automated Wound Measurement of Chronic Wounds.

.- Midline-constrained Loss in the Anatomical Landmark Segmentation of 3D Liver Models.

.- DepthClassNet: A Multitask Framework for Monocular Depth Estimation and Texture Classification in Endoscopic Imaging.

.- Assessing the Generalization Performance of SAM for Ureteroscopy Scene Segmentation and Understanding.

.- Modelling Uncertainty in Graph Convolutional Networks for Edge Detection in Mammograms.

.- Classification of Gastroscopy Images Under extreme Class Imbalance: A Deep Learning Pipeline.

.- Temporally Consistent Smoke Removal from Endoscopic Video Images.

.- Toward Patient-specific Partial Point Cloud to Surface Completion for Pre- to Intra-operative Registration in Image-guided Liver Interventions.

.- EfficientDet with Knowledge Distillation and Instance Whitening for Real-time and Generalisable Polyp Detection.