Martin Rajchl

Affiliations: 
Biomedical engineering Robarts Research Institute, Western University 
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Zabihollahy F, Rajchl M, White AJ, et al. (2020) Fully Automated Segmentation of Left Ventricular Scar from 3D Late Gadolinium Enhancement Magnetic Resonance Imaging Using a Cascaded Multi-Planar U-Net (CMPU-Net). Medical Physics
Meng Q, Sinclair M, Zimmer V, et al. (2019) Weakly Supervised Estimation of Shadow Confidence Maps in Fetal Ultrasound Imaging. Ieee Transactions On Medical Imaging
Bai W, Sinclair M, Tarroni G, et al. (2018) Automated cardiovascular magnetic resonance image analysis with fully convolutional networks. Journal of Cardiovascular Magnetic Resonance : Official Journal of the Society For Cardiovascular Magnetic Resonance. 20: 65
Alansary A, Rajchl M, McDonagh SG, et al. (2017) PVR: Patch-to-Volume Reconstruction for Large Area Motion Correction of Fetal MRI. Ieee Transactions On Medical Imaging
Koch LM, Rajchl M, Bai W, et al. (2017) Multi-Atlas Segmentation using Partially Annotated Data: Methods and Annotation Strategies. Ieee Transactions On Pattern Analysis and Machine Intelligence
Morant K, Mikami Y, Nevis I, et al. (2017) Contribution of mitral valve leaflet length and septal wall thickness to outflow tract obstruction in patients with hypertrophic cardiomyopathy. The International Journal of Cardiovascular Imaging
Oktay O, Bai W, Guerrero R, et al. (2017) Stratified Decision Forests for Accurate Anatomical Landmark Localization in Cardiac Images. Ieee Transactions On Medical Imaging. 36: 332-342
Baxter JSH, Rajchl M, McLeod AJ, et al. (2017) Directed Acyclic Graph Continuous Max-Flow Image Segmentation for Unconstrained Label Orderings International Journal of Computer Vision. 123: 415-434
Rajchl M, Lee M, Oktay O, et al. (2016) DeepCut: Object Segmentation from Bounding Box Annotations using Convolutional Neural Networks. Ieee Transactions On Medical Imaging
Baxter JS, Rajchl M, Peters TM, et al. (2016) Optimization-based interactive segmentation interface for multiregion problems. Journal of Medical Imaging (Bellingham, Wash.). 3: 024003
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