Davood Karimi
Orcid: 0000-0002-5155-2644
According to our database1,
Davood Karimi
authored at least 55 papers
between 2012 and 2024.
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Bibliography
2024
2023
Medical Image Anal., August, 2023
Improving Calibration and Out-of-Distribution Detection in Deep Models for Medical Image Segmentation.
IEEE Trans. Artif. Intell., April, 2023
Medical Image Anal., April, 2023
Cross-Age and Cross-Site Domain Shift Impacts on Deep Learning-Based White Matter Fiber Estimation in Newborn and Baby Brains.
CoRR, 2023
Characterizing normal perinatal development of the human brain structural connectivity.
CoRR, 2023
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Robust Estimation of the Microstructure of the Early Developing Brain Using Deep Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
A Computational Framework for Characterizing Normative Development of Structural Brain Connectivity in the Perinatal Stage.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
2022
Insights from the IronTract challenge: Optimal methods for mapping brain pathways from multi-shell diffusion MRI.
NeuroImage, 2022
Subject-specific quantitative susceptibility mapping using patch based deep image priors.
CoRR, 2022
Artif. Intell. Medicine, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2022
2021
A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI.
IEEE Trans. Medical Imaging, 2021
Learning to estimate the fiber orientation distribution function from diffusion-weighted MRI.
NeuroImage, 2021
NeuroImage, 2021
A machine learning-based method for estimating the number and orientations of major fascicles in diffusion-weighted magnetic resonance imaging.
Medical Image Anal., 2021
Automatic Segmentation of the Prostate on 3D Trans-rectal Ultrasound Images using Statistical Shape Models and Convolutional Neural Networks.
CoRR, 2021
Transfer learning in medical image segmentation: New insights from analysis of the dynamics of model parameters and learned representations.
Artif. Intell. Medicine, 2021
Accurate Parameter Estimation in Fetal Diffusion-Weighted MRI - Learning from Fetal and Newborn Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
2020
Reducing the Hausdorff Distance in Medical Image Segmentation With Convolutional Neural Networks.
IEEE Trans. Medical Imaging, 2020
Deep Learning-Based Gleason Grading of Prostate Cancer From Histopathology Images - Role of Multiscale Decision Aggregation and Data Augmentation.
IEEE J. Biomed. Health Informatics, 2020
Deep learning with noisy labels: Exploring techniques and remedies in medical image analysis.
Medical Image Anal., 2020
Critical Assessment of Transfer Learning for Medical Image Segmentation with Fully Convolutional Neural Networks.
CoRR, 2020
Improving Calibration and Out-of-Distribution Detection in Medical Image Segmentation with Convolutional Neural Networks.
CoRR, 2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2019
Accurate and robust deep learning-based segmentation of the prostate clinical target volume in ultrasound images.
Medical Image Anal., 2019
CoRR, 2019
A deep learning-based method for prostate segmentation in T2-weighted magnetic resonance imaging.
CoRR, 2019
Liver Segmentation in Magnetic Resonance Imaging via Mean Shape Fitting with Fully Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
2018
Automatic grading of prostate cancer in digitized histopathology images: Learning from multiple experts.
Medical Image Anal., 2018
Prostate segmentation in transrectal ultrasound using magnetic resonance imaging priors.
Int. J. Comput. Assist. Radiol. Surg., 2018
Prostate segmentation in MRI using a convolutional neural network architecture and training strategy based on statistical shape models.
Int. J. Comput. Assist. Radiol. Surg., 2018
Accurate and Robust Segmentation of the Clinical Target Volume for Prostate Brachytherapy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
2017
Synergistic Combination of Learned and Hand-Crafted Features for Prostate Lesion Classification in Multiparametric Magnetic Resonance Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Image reconstruction in computed tomography using variance-reduced stochastic gradient descent.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
2016
On the computational implementation of forward and back-projection operations for cone-beam computed tomography.
Medical Biol. Eng. Comput., 2016
Comput. Biol. Medicine, 2016
Patch-based models and algorithms for image processing: a review of the basic principles and methods, and their application in computed tomography.
Int. J. Comput. Assist. Radiol. Surg., 2016
BMC Medical Imaging, 2016
A novel structured dictionary for fast processing of 3D medical images, with application to computed tomography restoration and denoising.
Proceedings of the Medical Imaging 2016: Image Processing, 2016
Sinogram smoothing and interpolation via alternating projections onto the slope and curvature constraints.
Proceedings of the Medical Imaging 2016: Image Processing, 2016
2015
Angular upsampling of projection measurements in 3D computed tomography using a sparsity prior.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
2013
Statistical analysis of tracheal breath sounds during wakefulness for screening obstructive sleep apnea.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
2012
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012