BIO MEDICAL MATLAB 2021-2022 Final Projects 2021 2022 TITLE LIST

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BIO MEDICAL MATLAB 2021-2022 A Benchmark for Studying Diabetic Retinopathy Segmentation, Grading, and Transferability Anatomy-Regularized Representation Learning for CrossModality Medical Image Segmentation Automated Skin Lesion Segmentation via an Adaptive Dual Attention Module Automatic Staging for Retinopathy of Prematurity with Deep Feature Fusion and Ordinal Classification Strategy CABNet Category Attention Block for Imbalanced Diabetic Retinopathy Grading CNN-Based Ultrasound Image Reconstruction for Ultrafast Displacement Tracking Deep Convolutional Neural Network with Adversarial Training for Denoising Digital Breast Tomosynthesis Images DetexNet Accurately Diagnosing Frequent and Challenging Pediatric Malignant Tumors

OK3BM09 Dual-energy X-ray dark-field material decomposition Foveated Model Observers for Visual Search in 3D Medical OK3BM10 Images Hierarchical Temporal Attention Network for Thyroid OK3BM11 Nodule Recognition using Dynamic CEUS Imaging In Silico Phase-Contrast X-Ray Imaging of OK3BM12 Anthropomorphic Voxel-Based Phantoms Modeling and Enhancing Low-Quality Retinal Fundus OK3BM13 Images Multi-Domain Image Completion for Random Missing Input OK3BM14 Data Multi-Modal Siamese Network for Diagnostically Similar OK3BM15 Lesion Retrieval in Prostate MRI Myocardial Function Imaging in Echocardiography Using OK3BM16 Deep Learning

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Object-Guided Instance Segmentation With Auxiliary Feature Refinement for Biological Images Parametric Sequential Method for MRI-Based Wall Shear Stress Quantification Photoacoustic Tomography Image Restoration with Measured Spatially Variant Point Spread Functions Real-Time Multi-Guidewire Endpoint Localization in Fluoroscopy Images Reconstructing Undersampled Photoacoustic Microscopy Images using Deep Learning Reducing the Complexity of Model-Based MRI Reconstructions via Sparsification Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction ROSE A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model Segmentation-Renormalized Deep Feature Modulation for Unpaired Image Harmonization SESV Accurate Medical Image Segmentation by Predicting and Correcting Errors SiameseGAN A Generative Model for Denoising of Spectral Domain Optical Coherence Tomography Images SMORE A Self-Supervised Anti-Aliasing and SuperResolution Algorithm for MRI Using Deep Learning

OK3BM29 Uncertainty Quantification in Deep MRI Reconstruction Weakly Supervised Deep Learning-Based Optical OK3BM30 Coherence Tomography Angiography OK3BM31 X-ray Scatter Estimation Using Deep Splines Zero-shot super-resolution with a physically-motivated OK3BM32 downsampling kernel for endomicroscopy

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