| Plant identification using deep neural networks via optimization of transfer learning parameters M Mehdipour Ghazi, B Yanıkoğlu, E Aptoula Neurocomputing 235, 228-235, 2017 | 594 | 2017 |
| A Comprehensive Analysis of Deep Learning Based Representation for Face Recognition M Mehdipour Ghazi, H Kemal Ekenel Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 203 | 2016 |
| Training recurrent neural networks robust to incomplete data: Application to Alzheimer’s disease progression modeling M Mehdipour Ghazi, M Nielsen, A Pai, MJ Cardoso, M Modat, S Ourselin, ... Medical image analysis 53, 39-46, 2019 | 121 | 2019 |
| DEVELOPING AND VALIDATING COVID-19 ADVERSE OUTCOME RISK PREDICTION MODELS FROM A BI-NATIONAL EUROPEAN COHORT OF 5594 PATIENTS E Jimenez-Solem, TS Petersen, C Hansen, C Lioma, C Igel, W Boomsma, ... | 84 | 2020 |
| The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up RV Marinescu, NP Oxtoby, AL Young, EE Bron, AW Toga, MW Weiner, ... arXiv preprint arXiv:2002.03419, 2020 | 55 | 2020 |
| Visual Speech Recognition Using PCA Networks and LSTMs in a Tandem GMM-HMM System M Zimmermann, M Mehdipour Ghazi, HK Ekenel, JP Thiran Asian Conference on Computer Vision, 264-276, 2016 | 47 | 2016 |
| Robust training of recurrent neural networks to handle missing data for disease progression modeling M Mehdipour Ghazi, M Nielsen, A Pai, MJ Cardoso, M Modat, S Ourselin, ... arXiv preprint arXiv:1808.05500, 2018 | 28 | 2018 |
| Image noise level estimation based on higher-order statistics M Mehdipour Ghazi, H Erdogan Multimedia Tools and Applications 76 (2), 2379-2397, 2017 | 27 | 2017 |
| Robust parametric modeling of Alzheimer's disease progression M Mehdipour Ghazi, M Nielsen, A Pai, M Modat, MJ Cardoso, S Ourselin, ... NeuroImage, 2019 | 26* | 2019 |
| Open-set plant identification using an ensemble of deep convolutional neural networks M Mehdipour Ghazi, B Yanıkoğlu, E Aptoula Working notes of CLEF, 2016 | 24 | 2016 |
| On the Initialization of Long Short-Term Memory Networks M Mehdipour Ghazi, M Nielsen, A Pai, M Modat, MJ Cardoso, S Ourselin, ... International Conference on Neural Information Processing, 275-286, 2019 | 14 | 2019 |
| Sabanci-Okan system in LifeCLEF 2015 plant identification competition M Mehdipour Ghazi, B Yanikoglu, E Aptoula, O Muslu, MC Ozdemir Working Notes of CLEF 2015 Conference, 2015 | 13 | 2015 |
| FAST-AID Brain: Fast and Accurate Segmentation Tool using Artificial Intelligence Developed for Brain M Mehdipour Ghazi, M Nielsen arXiv preprint arXiv:2208.14360, 2022 | 11 | 2022 |
| Partial feedback online transfer learning with multi-source domains Z Kang, M Nielsen, B Yang, M Mehdipour Ghazi Information Fusion, 2022 | 8 | 2022 |
| Automatic emotion recognition in the wild using an ensemble of static and dynamic representations M Mehdipour Ghazi, HK Ekenel Proceedings of the 18th ACM International Conference on Multimodal …, 2016 | 8 | 2016 |
| Combining Multiple Views for Visual Speech Recognition M Zimmermann, M Mehdipour Ghazi, HK Ekenel, JP Thiran 14th International Conference on Auditory-Visual Speech Processing (AVSP2017), 2017 | 7 | 2017 |
| Deep Learning-Based Assessment of Cerebral Microbleeds in COVID-19 NR Ferrer, MV Sagar, KV Klein, C Kruuse, M Nielsen, M Mehdipour Ghazi 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-4, 2023 | 6 | 2023 |
| Universal Steganalysis Based on Local Prediction Error in Wavelet Domain A Shojaei-Hashemi, M Mehdipour Ghazi, S Ghaemmaghami, ... Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP …, 2011 | 6 | 2011 |
| Power and distribution of evoked gamma oscillations in brain aging and cognitive performance A Bakhtiari, J Petersen, O Urdanibia-Centelles, M Mehdipour Ghazi, ... GeroScience, 1-16, 2023 | 5 | 2023 |
| CARRNN: A Continuous Autoregressive Recurrent Neural Network for Deep Representation Learning from Sporadic Temporal Data M Mehdipour Ghazi, L Sørensen, S Ourselin, M Nielsen IEEE Transactions on Neural Networks and Learning Systems, 2021 | 5* | 2021 |
Mads NielsenProfessor of Computer Science, University of Copenhagen在 diku.edu 的电子邮件经过验证
