Deep Learning Publication Navigator - subtopic: tomography


Year TitleAuthor
2017   Disease Staging and Prognosis in Smokers Using Deep Learning in Chest Computed Tomography  G González, SY Ash, G Vegas Sanchez
2017   Retinal Fluid Segmentation and Detection in Optical Coherence Tomography Images using Fully Convolutional Neural Network  D Lu, M Heisler, S Lee, G Ding, MV Sarunic, MF Beg 
2017   A Deep Learning Approach to Digitally Stain Optical Coherence Tomography Images of the Optic Nerve Head  SK Devalla, JM Mari, TA Tun, NG Strouthidis, T Aung
2017   Automated detection of exudative age-related macular degeneration in spectral domain optical coherence tomography using deep learning  M Treder, JL Lauermann, N Eter 
2017   Hybrid Deep Learning on Single Wide-field Optical Coherence Tomography Scans Accurately Classifies Glaucoma Suspects.  H Muhammad, TJ Fuchs, N De Cuir, CG De Moraes 
2017   A Deep Learning Architecture for Limited-Angle Computed Tomography Reconstruction  K Hammernik, T Würfl, T Pock, A Maier
2017   Deep learning for plasma tomography using the bolometer system at JET  FA Matos, DR Ferreira, PJ Carvalho, JET Contributors
2017   Deep Learning Can Reverse Photon Migration for Diffuse Optical Tomography  J Yoo, S Sabir, D Heo, KH Kim, A Wahab, Y Choi 
2017   Deep Learning Is Effective for Classifying Normal versus Age-Related Macular Degeneration Optical Coherence Tomography Images  CS Lee, DM Baughman, AY Lee
2017   Synthesis of Positron Emission Tomography (PET) Images via Multi-channel Generative Adversarial Networks (GANs)  M Fulham
2017   Deep Learning for Photoacoustic Tomography from Sparse Data  S Antholzer, M Haltmeier, J Schwab
2017   Characterizing cartilage microarchitecture on phase-contrast x-ray computed tomography using deep learning with convolutional neural networks  B Deng, AZ Abidin, AM DSouza, MB Nagarajan
2017   Computer-Assisted Diagnosis System for Breast Cancer in Computed Tomography Laser Mammography (CTLM)  A Jalalian, S Mashohor, R Mahmud, B Karasfi
2017   ReLayNet: Retinal Layer and Fluid Segmentation of Macular Optical Coherence Tomography using Fully Convolutional Network  AG Roy, S Conjeti, SPK Karri, D Sheet, A Katouzian
2017   Choroid Segmentation from Optical Coherence Tomography with Graph-Edge Weights Learned from Deep Convolutional Neural Networks  X Sui, S Zhang, B Wei, H Bi, J Wu, X Pan, Y Yin
2017   Using Deep Learning for Classification of lung nodules on Computed Tomography Images  QZ Song, L Zhao, XK Luo, XC Dou
2016   Pulmonary Nodule Classification with Deep Convolutional Neural Networks on Computed Tomography Images  W Li, P Cao, D Zhao, J Wang
2016   A Machine Learning Approach for Computation of Fractional Flow Reserve from Coronary Computed Tomography  L Itu, S Rapaka, T Passerini, B Georgescu
2016   Automated 5-year Mortality Prediction using Deep Learning and Radiomics Features from Chest Computed Tomography  G Carneiro, L Oakden
2016   Classification of Pulmonary Nodules on Computed Tomography Scans. Evaluation of the Effectiveness of Application of Textural Features Extracted Using Wavelet …  M Sergeeva, I Ryabchikov, M Glaznev, N Gusarova
2016   Improving Airway Segmentation in Computed Tomography using Leak Detection with Convolutional Networks  JP Charbonnier, EM van Rikxoort, AAA Setio
2016   Retinal nerve fiber layer measurements in multiple sclerosis patients using new Swetpt‐Source Optical coherence tomography Triton device  M Cipres Alastuey, E Vilades Palomar, E Garcia Martín
2016   Image Prediction for Limited-angle Tomography via Deep Learning with Convolutional Neural Network  H Zhang, L Li, K Qiao, L Wang, B Yan, L Li, G Hu
2015   Automatic classification of pulmonary peri-fissural nodules in computed tomography using an ensemble of 2D views and a convolutional neural network out-of-the-box  F Ciompi, B de Hoop, SJ van Riel, K Chung