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08/31/2023
Dual-Decoder Consistency via Pseudo-Labels Guided Data Augmentation for Semi-Supervised Medical Image Segmentation
Medical image segmentation methods often rely on fully supervised approa...
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07/20/2023
IvyGPT: InteractiVe Chinese pathwaY language model in medical domain
General large language models (LLMs) such as ChatGPT have shown remarkab...
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07/06/2023
DisAsymNet: Disentanglement of Asymmetrical Abnormality on Bilateral Mammograms using Self-adversarial Learning
Asymmetry is a crucial characteristic of bilateral mammograms (Bi-MG) wh...
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07/03/2023
Synthesis of Contrast-Enhanced Breast MRI Using Multi-b-Value DWI-based Hierarchical Fusion Network with Attention Mechanism
Magnetic resonance imaging (MRI) is the most sensitive technique for bre...
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06/29/2023
PCDAL: A Perturbation Consistency-Driven Active Learning Approach for Medical Image Segmentation and Classification
In recent years, deep learning has become a breakthrough technique in as...
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06/11/2023
TransMRSR: Transformer-based Self-Distilled Generative Prior for Brain MRI Super-Resolution
Magnetic resonance images (MRI) acquired with low through-plane resoluti...
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05/16/2023
Light-VQA: A Multi-Dimensional Quality Assessment Model for Low-Light Video Enhancement
Recently, Users Generated Content (UGC) videos becomes ubiquitous in our...
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02/03/2023
IMPORTANT-Net: Integrated MRI Multi-Parameter Reinforcement Fusion Generator with Attention Network for Synthesizing Absent Data
Magnetic resonance imaging (MRI) is highly sensitive for lesion detectio...
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02/01/2023
Synthesis-based Imaging-Differentiation Representation Learning for Multi-Sequence 3D/4D MRI
Multi-sequence MRIs can be necessary for reliable diagnosis in clinical ...
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01/16/2023
LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset
We introduce LYSTO, the Lymphocyte Assessment Hackathon, which was held ...
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10/11/2022
Network Topology Inference based on Timing Meta-Data
Consider a processor having access only to meta-data consisting of the t...
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10/09/2022
Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma Segmentation and Koos Grade Prediction based on Semi-Supervised Contrastive Learning
Domain adaptation has been widely adopted to transfer styles across mult...
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09/17/2021
Mass Segmentation in Automated 3-D Breast Ultrasound Using Dual-Path U-net
Automated 3-D breast ultrasound (ABUS) is a newfound system for breast s...
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06/16/2021
To Raise or Not To Raise: The Autonomous Learning Rate Question
There is a parameter ubiquitous throughout the deep learning world: lear...
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11/10/2020
Pristine annotations-based multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19
The COVID-19 pandemic continues to spread and impact the well-being of t...
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02/11/2020
2.75D Convolutional Neural Network for Pulmonary Nodule Classification in Chest CT
Early detection and classification of pulmonary nodules in Chest Compute...
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05/06/2019
Automated Segmentation of Lesions in Ultrasound Using Semi-pixel-wise Cycle Generative Adversarial Nets
Breast cancer is the most common invasive cancer with the highest cancer...
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03/14/2018
Computer-aided diagnosis of lung carcinoma using deep learning - a pilot study
Aim: Early detection and correct diagnosis of lung cancer are the most i...
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02/10/2018
Optimize transfer learning for lung diseases in bronchoscopy using a new concept: sequential fine-tuning
Bronchoscopy inspection as a follow-up procedure from the radiological i...
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12/23/2017