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  3. IJ Radiology
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  5. Left Ventricle Segmentation Using a Combination of Region Growing and Graph Based Method
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IJ Radiology

An Innovative Journal in the Field of Radiology

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Scopus by Title (Ref)


1. Combining seeded region growing and k-nearest neighbours for the segmentation of routinely acquired spatio-temporal image data

- Zerweck L. , et al.

2. A Review of the Application of Artificial Intelligence in Medicine: From Data to Personalised Models

- Blagojević A. , et al.

3. PRNet: polar regression network for medical image segmentation

- Qian X. , et al.

4. Evaluation of segmentation accuracy and its impact on patient-specific CFD analysis

- Bertolini M. , et al.

5. Additive Manufacturing of a Compliant Multimaterial Heart Model

- Bertolini M. , et al.

6. Operative workflow from ct to 3d printing of the heart: Opportunities and challenges

- Bertolini M. , et al.

7. Segmentation of the Ventricle Membranes in Short-Axis Sequences by Optical Flow Base on DLSRE Model

- Lin L.I. , et al.

8. Heart left ventricle segmentation in ultrasound images using deep learning

- Sustersic T. , et al.

9. MFP-Unet: A novel deep learning based approach for left ventricle segmentation in echocardiography

- Moradi S. , et al.

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