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5 papers · 1 filter
Longitudinal diffusion MRI analysis using Segis-Net: a single-step deep-learning framework for simultaneous segmentation and registration
Bo Li, Wiro J. Niessen, Stefan Klein +4
This work presents a single-step deep-learning framework for longitudinal image analysis, coined Segis-Net. To optimally exploit information available in longitudinal data, this me…
Low-dimensional Interpretable Kernels with Conic Discriminant Functions for Classification
Gurhan Ceylan, S. Ilker Birbil
Kernels are often developed and used as implicit mapping functions that show impressive predictive power due to their high-dimensional feature space representations. In this study,…
Rule Covering for Interpretation and Boosting
S. Ilker Birbil, Mert Edali, Birol Yuceoglu
We propose two algorithms for interpretation and boosting of tree-based ensemble methods. Both algorithms make use of mathematical programming models that are constructed with a se…
TADPOLE Challenge: Accurate Alzheimer's disease prediction through crowdsourced forecasting of future data
Razvan V. Marinescu, Neil P. Oxtoby, Alexandra L. Young +8
The TADPOLE Challenge compares the performance of algorithms at predicting the future evolution of individuals at risk of Alzheimer's disease. TADPOLE Challenge participants train…
Dynamic Coronary Roadmapping via Catheter Tip Tracking in X-ray Fluoroscopy with Deep Learning Based Bayesian Filtering
Hua Ma, Ihor Smal, Joost Daemen +1
Percutaneous coronary intervention (PCI) is typically performed with image guidance using X-ray angiograms in which coronary arteries are opacified with X-ray opaque contrast agent…