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FISTA-Net: Learning a Fast Iterative Shrinkage Thresholding Network for Inverse Problems in Imaging

期刊: IEEE TRANSACTIONS ON MEDICAL IMAGING, 2021; 40 (5)

Inverse problems are essential to imaging applications. In this letter, we propose a model-based deep learning network, named FISTA-Net, by combining ......

Super-Resolution Photoacoustic Microscopy Using Structured-Illumination

期刊: IEEE TRANSACTIONS ON MEDICAL IMAGING, 2021; 40 (9)

A novel super-resolution volumetric photoacoustic microscopy, based on the theory of structured-illumination, is proposed in this paper. The structure......

Real-Time Multi-Guidewire Endpoint Localization in Fluoroscopy Images

期刊: IEEE TRANSACTIONS ON MEDICAL IMAGING, 2021; 40 (8)

The real-time localization of the guidewire endpoints is a stepping stone to computer-assisted percutaneous coronary intervention (PCI). However, meth......

Rotation-Oriented Collaborative Self-Supervised Learning for Retinal Disease Diagnosis

期刊: IEEE TRANSACTIONS ON MEDICAL IMAGING, 2021; 40 (9)

The automatic diagnosis of various conventional ophthalmic diseases from fundus images is important in clinical practice. However, developing such aut......

A Cervical Histopathology Dataset for Computer Aided Diagnosis of Precancerous Lesions

期刊: IEEE TRANSACTIONS ON MEDICAL IMAGING, 2021; 40 (6)

Cervical cancer, as one of the most frequently diagnosed cancers worldwide, is curable when detected early. Histopathology images play an important ro......

Joint Learning of 3D Lesion Segmentation and Classification for Explainable COVID-19 Diagnosis

期刊: IEEE TRANSACTIONS ON MEDICAL IMAGING, 2021; 40 (9)

Given the outbreak of COVID-19 pandemic and the shortage of medical resource, extensive deep learning models have been proposed for automatic COVID-19......

Contrast-Attentive Thoracic Disease Recognition With Dual-Weighting Graph Reasoning

期刊: IEEE TRANSACTIONS ON MEDICAL IMAGING, 2021; 40 (4)

Automatic thoracic disease diagnosis is a rising research topic in the medical imaging community, with many potential applications. However, the incon......

Spherical Deformable U-Net: Application to Cortical Surface Parcellation and Development Prediction

期刊: IEEE TRANSACTIONS ON MEDICAL IMAGING, 2021; 40 (4)

Convolutional Neural Networks (CNNs) have achieved overwhelming success in learning-related problems for 2D/3D images in the Euclidean space. However,......

Spatio-Temporal Mitosis Detection in Time-Lapse Phase-Contrast Microscopy Image Sequences: A Benchmark

期刊: IEEE TRANSACTIONS ON MEDICAL IMAGING, 2021; 40 (5)

In this paper, we report the results of the first international contest on mitosis detection in phase-contrast microscopy image sequences (http://c362......

Temporal Memory Relation Network for Workflow Recognition From Surgical Video

期刊: IEEE TRANSACTIONS ON MEDICAL IMAGING, 2021; 40 (7)

Automatic surgical workflow recognition is a key component for developing context-aware computer-assisted systems in the operating theatre. Previous w......

Object-Guided Instance Segmentation With Auxiliary Feature Refinement for Biological Images

期刊: IEEE TRANSACTIONS ON MEDICAL IMAGING, 2021; 40 (9)

Instance segmentation is of great importance for many biological applications, such as study of neural cell interactions, plant phenotyping, and quant......

Realistic Lung Nodule Synthesis With Multi-Target Co-Guided Adversarial Mechanism

期刊: IEEE TRANSACTIONS ON MEDICAL IMAGING, 2021; 40 (9)

The important cues for a realistic lung nodule synthesis include the diversity in shape and background, controllability of semantic feature levels, an......

Two-Stream Compare and Contrast Network for Vertebral Compression Fracture Diagnosis

期刊: IEEE TRANSACTIONS ON MEDICAL IMAGING, 2021; 40 (9)

Differentiating Vertebral Compression Fractures (VCFs) associated with trauma and osteoporosis (benign VCFs) or those caused by metastatic cancer (mal......

CANet: Context Aware Network for Brain Glioma Segmentation

期刊: IEEE TRANSACTIONS ON MEDICAL IMAGING, 2021; 40 (7)

Automated segmentation of brain glioma plays an active role in diagnosis decision, progression monitoring and surgery planning. Based on deep neural n......

Unpaired Stain Transfer Using Pathology-Consistent Constrained Generative Adversarial Networks

期刊: IEEE TRANSACTIONS ON MEDICAL IMAGING, 2021; 40 (8)

Pathological examination is the gold standard for the diagnosis of cancer. Common pathological examinations include hematoxylin-eosin (H&E) staini......

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