Radiology BTC-fCNN: Fast Convolution Neural Network for Multi-class Brain Tumor Classification. January 6, 2023
Neurology | Radiology Automatic detection of brain tumors with the aid of ensemble deep learning architectures and class activation map indicators by employing magnetic resonance images. January 2, 2023
Neurology | Radiology A dense residual U-net for multiple sclerosis lesions segmentation from multi-sequence 3D MR images. December 29, 2022
Neurology | Oncology | Radiology AGGN: Attention-based glioma grading network with multi-scale feature extraction and multi-modal information fusion. December 26, 2022
Pathology | Radiology Effective Approaches to Fetal Brain Segmentation in MRI and Gestational Age Estimation by Utilizing a Multiview Deep Inception Residual Network and Radiomics. December 23, 2022
Neurology | Oncology | Radiology A Multimodal Knowledge-Based Deep Learning Approach for MGMT Promoter Methylation Identification. December 22, 2022
Neurology | Radiology Fully Automated Segmentation Models of Supratentorial Meningiomas Assisted by Inclusion of Normal Brain Images. December 22, 2022
Radiology Convolutional neural network for automated segmentation of the liver and its vessels on non-contrast T1 vibe Dixon acquisitions. December 21, 2022
Neurosurgery | Radiology [MR-guided non-invasive typing of brain gliomas using machine learning]. December 19, 2022
Radiology A Joint Group Sparsity-based deep learning for multi-contrast MRI reconstruction. December 17, 2022
Oncology | Radiology A comparative study between deep learning and radiomics models in grading liver tumors using hepatobiliary phase contrast-enhanced MR images. December 14, 2022
Neurology | Radiology Improving the detection of new lesions in multiple sclerosis with a cascaded 3D fully convolutional neural network approach. December 12, 2022