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Daniel Forsberg
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2020 – today
- 2021
- [j15]Caroline Bivik Stadler
, Martin Lindvall, Claes Lundström, Anna Bodén, Karin Lindman, Jeronimo Rose, Darren Treanor, Johan Blomma, Karin Stacke
Proactive Construction of an Annotated Imaging Database for Artificial Intelligence Training. J. Digit. Imaging 34(1): 105-115 (2021)
2010 – 2019
- 2019
- [j14]Chen Sirota-Cohen
Implementation and Benefits of a Vendor-Neutral Archive and Enterprise-Imaging Management System in an Integrated Delivery Network. J. Digit. Imaging 32(2): 211-220 (2019) - [i1]Andreas Berg, Daniel Forsberg:
Identifying DNS-tunneled traffic with predictive models. CoRR abs/1906.11246 (2019) - 2018
- [j13]Mariana Bustamante
Automated multi-atlas segmentation of cardiac 4D flow MRI. Medical Image Anal. 49: 128-140 (2018) - [c12]Mikael Berndtsson, Daniel Forsberg, Daniel Stein, Thomas Svahn:
Becoming a Data-Driven Organisation. ECIS 2018: 43 - 2017
- [j12]Daniel Forsberg
Synchronized navigation of current and prior studies using image registration improves radiologist's efficiency. Int. J. Comput. Assist. Radiol. Surg. 12(3): 431-438 (2017) - [j11]Daniel Forsberg
Radiologists' Variation of Time to Read Across Different Procedure Types. J. Digit. Imaging 30(1): 86-94 (2017) - [j10]Ramya Pham, Daniel Forsberg
Improved Screening Mammogram Workflow by Maximizing PACS Streamlining Capabilities in an Academic Breast Center. J. Digit. Imaging 30(2): 133-140 (2017) - [j9]Daniel Forsberg
Detection and Labeling of Vertebrae in MR Images Using Deep Learning with Clinical Annotations as Training Data. J. Digit. Imaging 30(4): 406-412 (2017) - [j8]Guoyan Zheng
Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: A grand challenge. Medical Image Anal. 35: 327-344 (2017) - 2016
- [j7]Daniel Forsberg
Quantitative analysis of the patellofemoral motion pattern using semi-automatic processing of 4D CT data. Int. J. Comput. Assist. Radiol. Surg. 11(9): 1731-1741 (2016) - [j6]Jianhua Yao
A multi-center milestone study of clinical vertebral CT segmentation. Comput. Medical Imaging Graph. 49: 16-28 (2016) - [j5]Daniel Forsberg
Analyzing PACS Usage Patterns by Means of Process Mining: Steps Toward a More Detailed Workflow Analysis in Radiology. J. Digit. Imaging 29(1): 47-58 (2016) - [j4]Pedram Golnari
Online Error Reporting for Managing Quality Control Within Radiology. J. Digit. Imaging 29(3): 301-308 (2016) - [j3]Daniel Forsberg
Factors Affecting Radiologist's PACS Usage. J. Digit. Imaging 29(6): 670-676 (2016) - 2015
- [c11]Chunliang Wang, Daniel Forsberg
Segmentation of Intervertebral Discs in 3D MRI Data Using Multi-atlas Based Registration. CSI@MICCAI 2015: 107-116 - 2014
- [j2]Daniel Forsberg
Eigenspine: Computing the correlation between measures describing vertebral pose for patients with adolescent idiopathic scoliosis. Comput. Medical Imaging Graph. 38(7): 549-557 (2014) - [c10]Daniel Forsberg
Evaluating Cell Nuclei Segmentation for Use on Whole-Slide Images in Lung Cytology. ICPR 2014: 3380-3385 - [c9]Stefan Lindholm, Daniel Forsberg, Anders Ynnerman, Hans Knutsson, Mats T. Andersson, Claes Lundström:
Towards Clinical Deployment of Automated Anatomical Regions-Of-Interest. VCBM 2014: 137-143 - 2013
- [b1]Daniel Forsberg:
Robust Image Registration for Improved Clinical Efficiency : Using Local Structure Analysis and Model-Based Processing. Linköping University, Sweden, 2013 - [j1]Anders Eklund
Medical image processing on the GPU - Past, present and future. Medical Image Anal. 17(8): 1073-1094 (2013) - 2012
- [c8]Daniel Forsberg
Non-rigid Diffeomorphic Image Registration of Medical Images Using Polynomial Expansion. ICIAR (2) 2012: 304-312 - [c7]Gustaf Johansson, Daniel Forsberg
Globally optimal displacement fields using local tensor metric. ICIP 2012: 2957-2960 - [c6]Daniel Forsberg
Multi-modal Image Registration Using Polynomial Expansion and Mutual Information. WBIR 2012: 40-49 - 2011
- [c5]Daniel Forsberg
Improving Registration Using Multi-channel Diffeomorphic Demons Combined with Certainty Maps. MBIA 2011: 19-26 - [c4]Anders Eklund
Using the Local Phase of the Magnitude of the Local Structure Tensor for Image Registration. SCIA 2011: 414-423 - [c3]Daniel Forsberg
Model-Based Transfer Functions for Efficient Visualization of Medical Image Volumes. SCIA 2011: 592-603 - 2010
- [c2]Daniel Forsberg
Adaptive anisotropic regularization of deformation fields for non-rigid registration using the morphon framework. ICASSP 2010: 473-476 - [c1]Daniel Forsberg
Parallel Scales for More Accurate Displacement Estimation in Phase-Based Image Registration. ICPR 2010: 2329-2332
Coauthor Index
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