xfj310 xfj310
Lektor
Machine Learning
Universitetsparken 1, 2100 København Ø
- 2021
- Udgivet
Robust parametric modeling of Alzheimer's disease progression
Mehdipour Ghazi, Mostafa, Nielsen, Mads, Pai, Akshay Sadananda Uppinakudru, Modat, M., Jorge Cardoso, M., Ourselin, S. & xfj310, xfj310, 2021, I : NeuroImage. 225, 12 s., 117460.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- 2020
- Udgivet
Chronic Obstructive Pulmonary Disease Quantification Using CT Texture Analysis and Densitometry: Results From the Danish Lung Cancer Screening Trial
xfj310, xfj310, Nielsen, Mads, Petersen, Jens, Pedersen, J. H., Dirksen, A. & de Bruijne, Marleen, 2020, I : American Journal of Roentgenology. 214, 6, s. 1269-1279Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Inflammatory pathway analytes predicting rapid cognitive decline in MCI stage of Alzheimer’s disease
Pillai, J. A., Bena, J., Bebek, G., Bekris, L. M., Bonner-Jackson, A., Kou, L., Pai, Akshay Sadananda Uppinakudru, xfj310, xfj310, Nielsen, Mads, Rao, S. M., Chance, M., Lamb, B. T. & Leverenz, J. B., 2020, I : Annals of Clinical and Translational Neurology. 7, 7, s. 1225-1239 15 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- 2019
- Udgivet
Knowledge Distillation for Semi-supervised Domain Adaptation
Orbes-Arteaga, M., Cardoso, J., xfj310, xfj310, Igel, Christian, Ourselin, S., Modat, M., Nielsen, Mads & Pai, Akshay Sadananda Uppinakudru, 1 jan. 2019, OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging - 2nd International Workshop, OR 2.0 2019, and 2nd International Workshop, MLCN 2019, Held in Conjunction with MICCAI 2019, Proceedings. Zhou, L., Sarikaya, D., Kia, S. M., Speidel, S., Malpani, A., Hashimoto, D., Habes, M., Löfstedt, T., Ritter, K. & Wang, H. (red.). Springer VS, s. 68-76 9 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 11796 LNCS).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings
- Udgivet
MRI Biomarkers Improve Disease Progression Modeling-Based Prediction of Cognitive Decline
Mehdipour Ghazi, Mostafa, Nielsen, Mads, Pai, Akshay Sadananda Uppinakudru, Modat , M., Cardoso , J., Ourselin, S. & xfj310, xfj310, 2019. 1 s.Publikation: Konferencebidrag › Konferenceabstrakt til konference › Forskning
- Udgivet
Multi-domain adaptation in brain MRI through paired consistency and adversarial learning
Orbes-Arteaga, M., Varsavsky, T., Sudre, C. H., Eaton-Rosen, Z., Haddow, L. J., xfj310, xfj310, Nielsen, Mads, Pai, Akshay Sadananda Uppinakudru, Ourselin, S., Modat, M., Nachev, P. & Cardoso, M. J., 2019, Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data First MICCAI Workshop, DART 2019 and First International Workshop, MIL3ID 2019 Shenzhen, Held in Conjunction with MICCAI 2019 Shenzhen, 2019 Proceedings. Wang, Q., Milletari, F., Rieke, N., Nguyen, H. V., Roysam, B., Albarqouni, S., Cardoso, M. J., Xu, Z., Kamnitsas, K., Patel, V., Jiang, S., Zhou, K., Luu, K. & Le, N. (red.). Springer VS, s. 54-62 9 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 11795 LNCS).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings
- Udgivet
On the initialization of long short-term memory networks
Mehdipour Ghazi, Mostafa, Nielsen, Mads, Pai, Akshay Sadananda Uppinakudru, Modat, M., Cardoso, M. J., Ourselin, S. & xfj310, xfj310, 2019, Neural Information Processing - 26th International Conference, ICONIP 2019, Proceedings. Gedeon, T., Wong, K. W. & Lee, M. (red.). Springer VS, s. 275-286 12 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 11953 LNCS).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings
- Udgivet
PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation
Orbes-Arteaga, M., xfj310, xfj310, Cardoso , J., Modat , M., Ourselin, S., Sommer, Stefan Horst, Nielsen, Mads, Igel, Christian & Pai, Akshay Sadananda Uppinakudru, 2019, Proceedings, SPIE 10949, Medical Imaging 2019: Image Processing . SPIE - International Society for Optical Engineering, 6 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings
- Udgivet
The value of hippocampal volume, shape, and texture for 11-year prediction of dementia: a population-based study
Achterberg, H. C., xfj310, xfj310, Wolters, F. J., Niessen, W. J., Vernooij, M. W., Ikram, M. A., Nielsen, Mads & de Bruijne, Marleen, 2019, I : Neurobiology of Aging. 81, s. 58-66Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Training recurrent neural networks robust to incomplete data: application to Alzheimer’s disease progression modeling
Mehdipour Ghazi, Mostafa, Nielsen, Mads, Pai, Akshay Sadananda Uppinakudru, Cardoso, M. J., Modat, M., Ourselin, S. & xfj310, xfj310, 2019, I : Medical Image Analysis. 53, s. 39-46Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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Brain region's relative proximity as marker for Alzheimer's disease based on structural MRI
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Pattern Recognition-Based Analysis of COPD in CT
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Differential diagnosis of mild cognitive impairment and Alzheimer’s disease using structural MRI cortical thickness, hippocampal shape, hippocampal texture, and volumetry
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