Classification of Computed Tomography Images in Different Slice Positions Using Deep Learning

Computer-Assisted Decision Support System in Pulmonary Cancer detection and stage classification on CT images

(2018) Anum Masood et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Deep learning analysis of the myocardium in coronary CT angiography for identification of patients with functionally significant coronary artery stenosis

(2018) Majd Zreik et al.   MEDICAL IMAGE ANALYSIS

Interleaved 3D-CNNs for joint segmentation of small-volume structures in head and neck CT images

(2018) Xuhua Ren et al.   MEDICAL PHYSICS

DeepNAT: Deep convolutional neural network for segmenting neuroanatomy

(2018) Christian Wachinger et al.   NEUROIMAGE

Liver Fibrosis: Deep Convolutional Neural Network for Staging by Using Gadoxetic Acid–enhanced Hepatobiliary Phase MR Images

(2018) Koichiro Yasaka et al.   RADIOLOGY

Agile convolutional neural network for pulmonary nodule classification using CT images

(2018) Xinzhuo Zhao et al.   International Journal of Computer Assisted Radiology and Surgery

An Accurate CT Saturation Classification Using a Deep Learning Approach Based on Unsupervised Feature Extraction and Supervised Fine-Tuning Strategy

(2017) Muhammad Ali et al.   Energies

Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions

(2017) Zeynettin Akkus et al.   JOURNAL OF DIGITAL IMAGING

Detection and Labeling of Vertebrae in MR Images Using Deep Learning with Clinical Annotations as Training Data

(2017) Daniel Forsberg et al.   JOURNAL OF DIGITAL IMAGING

Brain tumor segmentation with Deep Neural Networks

(2017) Mohammad Havaei et al.   MEDICAL IMAGE ANALYSIS

Using deep learning to segment breast and fibroglandular tissue in MRI volumes

(2017) Mehmet Ufuk Dalmış et al.   MEDICAL PHYSICS

Medical image retrieval using deep convolutional neural network

(2017) Adnan Qayyum et al.   NEUROCOMPUTING

Deep Learning at Chest Radiography: Automated Classification of Pulmonary Tuberculosis by Using Convolutional Neural Networks

(2017) Paras Lakhani et al.   RADIOLOGY

Deep learning predictions of survival based on MRI in amyotrophic lateral sclerosis

(2017) Hannelore K. van der Burgh et al.   NeuroImage-Clinical

Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?

(2016) Nima Tajbakhsh et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A combined deep-learning and deformable-model approach to fully automatic segmentation of the left ventricle in cardiac MRI

(2016) M.R. Avendi et al.   MEDICAL IMAGE ANALYSIS

Improved medical image modality classification using a combination of visual and textual features

(2015) Ivica Dimitrovski et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Deep convolutional neural networks for multi-modality isointense infant brain image segmentation

(2015) Wenlu Zhang et al.   NEUROIMAGE

Reduction of dental metallic artefacts in CT: Value of a newly developed algorithm for metal artefact reduction (O-MAR)

(2013) M. Kidoh et al.   CLINICAL RADIOLOGY

Does a plain X-ray of the pelvis predict arterial complications in renal transplantation? A prospective study

(2010) J. Aalten et al.   NEPHROLOGY DIALYSIS TRANSPLANTATION

Intravenous Contrast Medium Administration and Scan Timing at CT: Considerations and Approaches

(2010) Kyongtae T. Bae   RADIOLOGY