| SNO | BIO MEDICAL MATLAB 2021-2022 |
| BM01 | A Benchmark for Studying Diabetic Retinopathy Segmentation, Grading, and Transferability |
| BM02 | Anatomy-Regularized Representation Learning for Cross-Modality Medical Image Segmentation |
| BM03 | Automated Skin Lesion Segmentation via an Adaptive Dual Attention Module |
| BM04 | Automatic Staging for Retinopathy of Prematurity with Deep Feature Fusion and Ordinal Classification Strategy |
| BM05 | CABNet Category Attention Block for Imbalanced Diabetic Retinopathy Grading |
| BM06 | CNN-Based Ultrasound Image Reconstruction for Ultrafast Displacement Tracking |
| BM07 | Deep Convolutional Neural Network with Adversarial Training for Denoising Digital Breast Tomosynthesis Images |
| BM08 | DetexNet Accurately Diagnosing Frequent and Challenging Pediatric Malignant Tumors |
| BM09 | Dual-energy X-ray dark-field material decomposition |
| BM10 | Foveated Model Observers for Visual Search in 3D Medical Images |
| BM11 | Hierarchical Temporal Attention Network for Thyroid Nodule Recognition using Dynamic CEUS Imaging |
| BM12 | In Silico Phase-Contrast X-Ray Imaging of Anthropomorphic Voxel-Based Phantoms |
| BM13 | Modeling and Enhancing Low-Quality Retinal Fundus Images |
| BM14 | Multi-Domain Image Completion for Random Missing Input Data |
| BM15 | Multi-Modal Siamese Network for Diagnostically Similar Lesion Retrieval in Prostate MRI |
| BM16 | Myocardial Function Imaging in Echocardiography Using Deep Learning |
| BM17 | Object-Guided Instance Segmentation With Auxiliary Feature Refinement for Biological Images |
| BM18 | Parametric Sequential Method for MRI-Based Wall Shear Stress Quantification |
| BM19 | Photoacoustic Tomography Image Restoration with Measured Spatially Variant Point Spread Functions |
| BM20 | Real-Time Multi-Guidewire Endpoint Localization in Fluoroscopy Images |
| BM21 | Reconstructing Undersampled Photoacoustic Microscopy Images using Deep Learning |
| BM22 | Reducing the Complexity of Model-Based MRI Reconstructions via Sparsification |
| BM23 | Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction |
| BM24 | ROSE A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model |
| BM25 | Segmentation-Renormalized Deep Feature Modulation for Unpaired Image Harmonization |
| BM26 | SESV Accurate Medical Image Segmentation by Predicting and Correcting Errors |
| BM27 | SiameseGAN A Generative Model for Denoising of Spectral Domain Optical Coherence Tomography Images |
| BM28 | SMORE A Self-Supervised Anti-Aliasing and Super-Resolution Algorithm for MRI Using Deep Learning |
| BM29 | Uncertainty Quantification in Deep MRI Reconstruction |
| BM30 | Weakly Supervised Deep Learning-Based Optical Coherence Tomography Angiography |
| BM31 | X-ray Scatter Estimation Using Deep Splines |
| BM32 | Zero-shot super-resolution with a physically-motivated downsampling kernel for endomicroscopy |
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