| Deep learning and multi-sensor fusion for glioma classification using multistream 2D convolutional networks C Ge, IYH Gu, AS Jakola, J Yang 2018 40th Annual international conference of the IEEE engineering in …, 2018 | 108 | 2018 |
| Enlarged training dataset by pairwise GANs for molecular-based brain tumor classification C Ge, IYH Gu, AS Jakola, J Yang IEEE access 8, 22560-22570, 2020 | 90 | 2020 |
| Deep semi-supervised learning for brain tumor classification C Ge, IYH Gu, AS Jakola, J Yang BMC Medical Imaging 20, 1-11, 2020 | 70 | 2020 |
| Multi-stream multi-scale deep convolutional networks for Alzheimer’s disease detection using MR images C Ge, Q Qu, IYH Gu, AS Jakola Neurocomputing 350, 60-69, 2019 | 54 | 2019 |
| Co-saliency detection via inter and intra saliency propagation C Ge, K Fu, F Liu, L Bai, J Yang Signal Processing: Image Communication 44, 69-83, 2016 | 47 | 2016 |
| 3D multi-scale convolutional networks for glioma grading using MR images C Ge, Q Qu, IYH Gu, AS Jakola 2018 25th IEEE international conference on image processing (ICIP), 141-145, 2018 | 43 | 2018 |
| A spiking neural network model for obstacle avoidance in simulated prosthetic vision C Ge, N Kasabov, Z Liu, J Yang Information Sciences 399, 30-42, 2017 | 37 | 2017 |
| Deep feature clustering for seeking patterns in daily harmonic variations C Ge, RA de Oliveira, IYH Gu, MHJ Bollen IEEE Transactions on Instrumentation and Measurement 70, 1-10, 2020 | 34 | 2020 |
| Cross-modality augmentation of brain MR images using a novel pairwise generative adversarial network for enhanced glioma classification C Ge, IYH Gu, AS Jakola, J Yang 2019 IEEE international conference on image processing (ICIP), 559-563, 2019 | 28 | 2019 |
| Multiscale deep convolutional networks for characterization and detection of Alzheimer’s disease using MR images C Ge, Q Qu, IYH Gu, AS Jakola 2019 IEEE International Conference on Image Processing (ICIP), 789-793, 2019 | 19 | 2019 |
| Human fall detection using segment-level CNN features and sparse dictionary learning C Ge, IYH Gu, J Yang 2017 IEEE 27th International workshop on machine learning for signal …, 2017 | 16 | 2017 |
| Unsupervised deep learning and analysis of harmonic variation patterns using big data from multiple locations C Ge, RAD Oliveira, IYH Gu, MHJ Bollen Electric Power Systems Research 194, 107042, 2021 | 14 | 2021 |
| Co-saliency-enhanced deep recurrent convolutional networks for human fall detection in E-healthcare C Ge, IYH Gu, J Yang 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 12 | 2018 |
| Learning to detect small target: a local kernel method K Xie, T Zhou, Y Qiao, C Ge, J Yang Infrared Physics & Technology 69, 7-12, 2015 | 6 | 2015 |
| From von Neumann Architecture and Atanasoff’s ABC to Neuromorphic Computation and Kasabov’s NeuCube. Part II: Applications M Gholami Doborjeh, Z Gholami Doborjeh, AR Gollahalli, ... Practical Issues of Intelligent Innovations, 17-36, 2018 | 4 | 2018 |
| Introduction to deep learning in clinical neuroscience E de Dios, MB Ali, IYH Gu, TG Vecchio, C Ge, AS Jakola Machine Learning in Clinical Neuroscience: Foundations and Applications, 79-89, 2022 | 2 | 2022 |
| Visualizing the results from Unsupervised Deep Learning for the analysis of power-Quality Data RA de Oliveira, C Ge, IYH Gu, MHJ Bollen CIRED 2021-The 26th International Conference and Exhibition on Electricity …, 2021 | 2 | 2021 |
| Machine Learning Methods for Image Analysis in Medical Applications, from Alzheimer's Disease, Brain Tumors, to Assisted Living C Ge PQDT-Global, 2020 | 2 | 2020 |
| Co-saliency detection via similarity-based saliency propagation C Ge, K Fu, Y Li, J Yang, P Shi, L Bai 2015 IEEE International Conference on Image Processing (ICIP), 1845-1849, 2015 | 2 | 2015 |
| Human Fall Detection using Co-Saliency-Enhanced Deep Recurrent Convolutional Neural Networks C Ge, IYH Gu, J Yang | | 2019 |
Irene Yu-Hua GuProfessor of Image/Signal Processing, Chalmers University of TechnologyVerifierad e-postadress på chalmers.se
