Difference between revisions of "Documentation/Nightly/Announcements"

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Image:CMRTK-logo.png|[[Documentation/{{documentation/version}}/Extensions/CARMA|Cardiac MRI Toolkit]] to analyze cardiac LGE-MRI images. {{updated}}
 
Image:CMRTK-logo.png|[[Documentation/{{documentation/version}}/Extensions/CARMA|Cardiac MRI Toolkit]] to analyze cardiac LGE-MRI images. {{updated}}
  
Image:CarreraSliceEffect.png|[[Documentation/{{documentation/version}}/Extensions/CarreraSlice|CarreraSlice]] to interactively segment in 3D {{updated}}
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Image:CarreraSliceEffect.png|[[Documentation/{{documentation/version}}/Modules/CarreraSliceInteractiveSegmenter|CarreraSliceInteractiveSegmenter]] to interactively segment in 3D {{updated}}
  
Image:I2M_logo.jpg|[[Documentation/{{documentation/version}}/Extensions/CBC_3D_I2MConversion|CBC 3D (CRTC's BCC & Compression) I2M (Image-To-Mesh) Conversion]] for Image Guided Therapy. The extension encapsulates two CLI modules: (1) Body Centric Cubic (BCC) Mesh Generation. This module generates a Body Centric Cubic (BCC) mesh from a labeled image. (2) Mesh Compression (MC). This module deforms an input tetrahedral mesh towards the boundaries of the input labeled image. {{new}}
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Image:I2M_logo.jpg|[[Documentation/{{documentation/version}}/Extensions/CBC_3D_I2MConversion|CBC 3D (CRTC's BCC & Compression) I2M (Image-To-Mesh) Conversion]] for Image Guided Therapy. The extension encapsulates two CLI modules: (1) Body Centric Cubic (BCC) Mesh Generation. (2) Mesh Compression (MC). {{new}}
  
 
Image:ChangeTracker logo.png|[[Documentation/{{documentation/version}}/Extensions/ChangeTracker|Change Tracker]] for quantification of the subtle changes in pathology.{{updated}}
 
Image:ChangeTracker logo.png|[[Documentation/{{documentation/version}}/Extensions/ChangeTracker|Change Tracker]] for quantification of the subtle changes in pathology.{{updated}}
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Image:DTIProcess-mj.png|[[Documentation/{{documentation/version}}/Extensions/DTIProcess| DTI Process]].{{updated}}
 
Image:DTIProcess-mj.png|[[Documentation/{{documentation/version}}/Extensions/DTIProcess| DTI Process]].{{updated}}
  
Image:FastGrowCutEffect.png|[[Documentation/{{documentation/version}}/Extensions/FastGrowCut|FastGrowCut]] is an editor effect providing a fast implementation of the GrowCut method that supports multi-label segmentations {{updated}}
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Image:FastGrowCutEffect.png|[[Documentation/{{documentation/version}}/Modules/FastGrowCut|FastGrowCut]] is an editor effect providing a fast implementation of the GrowCut method that supports multi-label segmentations {{updated}}
  
Image:FinslerTractography.png|[http://www.nitrc.org/projects/finslertract/|FinslerTractography FinslerTractography] implements the Finsler tractography method with HARDI data as described by J. Melonakos et al., Finsler Active Contours, IEEE Trans PAMI, 30:412-423, 2008. See also: O'Donnell et al., New approaches to estimation of white matter connectivity in diffusion tensor MRI: Elliptic pdes and geodesics in a tensor-warped space, MICCAI 2002;459-466. Pichon et al., A Hamilton-Jacobi-Bellman approach to high angular resolution diffusion tractography, MICCAI 2005;180-187. {{new}}
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Image:FinslerTractography.png|[http://www.nitrc.org/projects/finslertract/|FinslerTractography FinslerTractography] implements the Finsler tractography method with HARDI data as described by J. Melonakos et al., Finsler Active Contours, IEEE Trans PAMI, 30:412-423, 2008. {{new}}
  
Image:GelDosimetry_Logo_128x128.png|[[Documentation/{{documentation/version}}/Extensions/GelDosimetryAnalysis|GelDosimetryAnalysis]] is a [[Documentation/Nightly/Developers/Slicelet|Slicelet]] covering the gel dosimetry analysis workflow used in commissioning new radiation techniques and to validate the accuracy of radiation treatment by enabling visual comparison of the planned dose to the delivered dose, where correspondence between the two dose distributions is achieved using embedded landmarks. Gel dosimetry is based on imaging chemical systems spatially fixed in gelatin, which exhibit a detectable change upon irradiation. {{updated}}
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Image:GelDosimetry_Logo_128x128.png|[[Documentation/{{documentation/version}}/Modules/GelDosimetry|GelDosimetryAnalysis]] is a [[Documentation/Nightly/Developers/Slicelets|Slicelet]] covering the gel dosimetry analysis workflow used in commissioning new radiation techniques. {{updated}}
  
 
Image:GyroGuide.png|[[Documentation/{{documentation/version}}/Extensions/GyroGuide|GyroGuide]] determines the trajectory angle and depth of puncture path, and transmits the calculated information to the probe for real time navigation. {{new}}
 
Image:GyroGuide.png|[[Documentation/{{documentation/version}}/Extensions/GyroGuide|GyroGuide]] determines the trajectory angle and depth of puncture path, and transmits the calculated information to the probe for real time navigation. {{new}}
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Image:IASEM.png|[[Documentation/{{documentation/version}}/Extensions/IASEM| IASEM]] to segmentation and process of IASEM Electron Microscopy images.{{updated}}
 
Image:IASEM.png|[[Documentation/{{documentation/version}}/Extensions/IASEM| IASEM]] to segmentation and process of IASEM Electron Microscopy images.{{updated}}
  
Image:IGynePyIcon.png|[https://github.com/gpernelle/iGyne iGyne] is an open source software for MR-Guided Interstitial Gynecologic Brachytherapy. It enables on-time processing of the intra-operative MRI data via a DICOM connection to the scanner followed by a multi-stage registration of CAD models of the template and the obturator to the patient images. This allows the virtual placement of interstitial needles during the intervention, as well as the detection/labeling of needles in MR images. {{new}}
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Image:IGynePyIcon.png|[https://github.com/gpernelle/iGyne iGyne] is an open source software for MR-Guided Interstitial Gynecologic Brachytherapy. {{new}}
  
Image:IntensitySegmenterIcon.png|[homepage http://www.nitrc.org/projects/dentaltools/ IntensitySegmenter] is a simple tool that segments an image according to intensity value. It is mainly used to segment CT scans using the Hounsfield scale but the ranges of intensities and their corresponding labels can be specified in an input text file. {{updated}}
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Image:IntensitySegmenterIcon.png|[http://www.nitrc.org/projects/dentaltools/ IntensitySegmenter] is a simple tool that segments an image according to intensity value. It is mainly used to segment CT scans using the Hounsfield scale but the ranges of intensities and their corresponding labels can be specified in an input text file. {{updated}}
  
 
Image:LightWeightRobotIGT.png|[[Documentation/{{documentation/version}}/Extensions/LightWeightRobotIGT|LightWeightRobotIGT]] to manage communication between 3D Slicer and [http://www.kuka-labs.com/de/medical_robotics/projects_studies/ LightWeight] robot. {{new}}
 
Image:LightWeightRobotIGT.png|[[Documentation/{{documentation/version}}/Extensions/LightWeightRobotIGT|LightWeightRobotIGT]] to manage communication between 3D Slicer and [http://www.kuka-labs.com/de/medical_robotics/projects_studies/ LightWeight] robot. {{new}}
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Image:LongitudinalPETCTLogo.png|[[Documentation/{{documentation/version}}/Extensions/LongitudinalPETCT| Longitudinal PET/CT]] to provide a user friendly Slicer interface for quantification of DICOM PET/CT image data.{{updated}
 
Image:LongitudinalPETCTLogo.png|[[Documentation/{{documentation/version}}/Extensions/LongitudinalPETCT| Longitudinal PET/CT]] to provide a user friendly Slicer interface for quantification of DICOM PET/CT image data.{{updated}
  
Image:MABMIS_Icon.png|MABMIS.s4ext {{new}}
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Image:MABMIS_Icon.png|[[Documentation/{{documentation/version}}/Extensions/MABMIS|MABMIS]]: Multi-Atlas Based Group Segmentation {{new}}
  
 
Image:MatlabBridgeLogo.png|[[Documentation/{{documentation/version}}/Extensions/MatlabBridge| Matlab Bridge]] to allow running Matlab functions directly in 3D Slicer.{{updated}}
 
Image:MatlabBridgeLogo.png|[[Documentation/{{documentation/version}}/Extensions/MatlabBridge| Matlab Bridge]] to allow running Matlab functions directly in 3D Slicer.{{updated}}
  
Image:XXX.png|ModelToModelDistance {{updated}}
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Image:MultidimDataLogo.png|[[Documentation/{{documentation/version}}/Extensions/MultidimData|MultidimData]]: A set of modules for generic multidimensional data management in Slicer (0.2.1) {{new}}
  
Image:XXX.png| MultidimData {{new}}
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Image:NeedleFinder.png|[[Documentation/{{documentation/version}}/Extensions/NeedleFinder|NeedleFinder]]: NeedleFinder: fast interactive needle detection. It provides interactive tools to segment needles in MR/CT images. It has been mostly tested on MRI from gynelogical brachytherapy cases. {{new}}
  
Image:XXX.png| NeedleFinder {{new}}
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Image:PBNRR_logo.jpg|[[Documentation/{{documentation/version}}/Extensions/PBNRR|PBNRR]]: This extension encapsulates a CLI module for the Physics-Based Non-Rigid Registration (PBNRR) method. The PBNRR compensates for the brain shift during the Image-Guided Neurosurgery (IGNS). {{new}}
  
Image:XXX.png| OpenCAD {{updated}}
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Image:PAAlogo-small.png|[[Documentation/{{documentation/version}}/Extensions/PercutaneousApproachAnalysis|PercutaneousApproachAnalysis]]: The Percutaneous Approach Analysis is used to calculate and visualize the accessibility of liver tumor with a percutaneous approach. {{new}}
 
 
Image:XXX.png| PBNRR {{new}}
 
 
 
Image:XXX.png| PercutaneousApproachAnalysis {{new}}
 
  
 
Image:PerkTutorLogo.png|[[Documentation/{{documentation/version}}/Extensions/PerkTutor|PerkTutor]] for training in image-guided needle interventions.{{updated}}
 
Image:PerkTutorLogo.png|[[Documentation/{{documentation/version}}/Extensions/PerkTutor|PerkTutor]] for training in image-guided needle interventions.{{updated}}
  
Image:XXX.png| PETDICOMExtension {{new}}
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Image:PETDICOMExtension.png|[[Documentation/{{documentation/version}}/Extensions/PETDICOMExtension|PETDICOM]]: The PET DICOM Extension provides tools to import PET Standardized Uptake Value images from DICOM into Slicer. {{new}}
  
 
Image:PkModeling.png|[[Documentation/{{documentation/version}}/Extensions/PkModeling| Pk Modeling]] to calculate quantitative parameters from Dynamic Contrast Enhanced DCE-MRI images.{{updated}}
 
Image:PkModeling.png|[[Documentation/{{documentation/version}}/Extensions/PkModeling| Pk Modeling]] to calculate quantitative parameters from Dynamic Contrast Enhanced DCE-MRI images.{{updated}}
  
Image:Portplacement_icon.png|[[Documentation/{{documentation/version}}/Extensions/PortPlacement| Port Placement]]to assists in the planning of surgical port placement in laparoscopic procedures.{{updated}}
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Image:Portplacement_icon.png|[[Documentation/{{documentation/version}}/Extensions/PortPlacement| Port Placement]] to assists in the planning of surgical port placement in laparoscopic procedures.{{updated}}
  
Image:XXX.png| PyDevRemoteDebug {{new}}
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Image:PyDevRemoteDebugExtension.png|[[Documentation/{{documentation/version}}/Extensions/PyDevRemoteDebug|PyDevRemoteDebug]]: This extension allows remote visual debugging of Python scripts using PyDev (http://pydev.org/) {{new}}
  
 
Image:ReportingLogo.png|[[Documentation/{{documentation/version}}/Extensions/Reporting|Reporting]] to create image annotations/markup that are stored in a structured form.{{updated}}
 
Image:ReportingLogo.png|[[Documentation/{{documentation/version}}/Extensions/Reporting|Reporting]] to create image annotations/markup that are stored in a structured form.{{updated}}
  
Image:XXX.png| ResectionPlanner {{new}}
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Image:ResectionPlannerLogo.png|[[Documentation/{{documentation/version}}/Extensions/ResectionPlanner|ResectionPlanner]]: Modules for surgical resection planning. {{new}}
  
Image:XXX.png| RSSExtension {{new}}
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<!-- Image:RSSExtension.png|[[Documentation/{{documentation/version}}/Extensions/RSSExtension|RSSExtension]]: User draw some initial seeds, this module perform an interative segmentation in 3D volume. {{new}} -->
  
Image:XXX.png| Scoliosis {{updated}}
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Image:ScoliosisLogo.png|[[Documentation/{{documentation/version}}/Extensions/Scoliosis|Scoliosis]]: Extensions pertaining to scoliosis analysis {{updated}}
  
Image:XXX.png| ShapePopulationViewer {{updated}}
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Image:ShapePopulationViewer.png|[[Documentation/{{documentation/version}}/Extensions/ShapePopulationViewer|ShapePopulationViewer]]: Visualize and interact with multiple surfaces at the same time to easily compare them {{updated}}
  
Image:XXX.png| SlicerExtension-VMTK {{new}}
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Image:SlicerExtension-VMTK.png|http://slicer.vmtk.org/ SlicerExtension-VMTK]: The Vascular Modeling Toolkit as a 3D Slicer4 extension. {{new}}
  
 
Image:SlicerIGTLogo.png|[[Documentation/{{documentation/version}}/Extensions/SlicerIGT|SlicerIGT]] to use all the advanced features of 3D Slicer for real-time navigation.{{updated}}
 
Image:SlicerIGTLogo.png|[[Documentation/{{documentation/version}}/Extensions/SlicerIGT|SlicerIGT]] to use all the advanced features of 3D Slicer for real-time navigation.{{updated}}
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Image:SlicerRT Logo 2.0 128x128.png|[[Documentation/{{documentation/version}}/Extensions/SlicerRT|SlicerRT]] is a tool for powerful radiotherapy research. {{updated}}
 
Image:SlicerRT Logo 2.0 128x128.png|[[Documentation/{{documentation/version}}/Extensions/SlicerRT|SlicerRT]] is a tool for powerful radiotherapy research. {{updated}}
  
Image:XXX.png| TCIABrowser {{new}}
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Image:TCIABrowser_logo.png|[[Documentation/{{documentation/version}}/Extensions/TCIABrowser|TCIABrowser]]: A Module to connect to TCIA archive, browse the collections, patients and studies and download DICOM files to 3D Slicer. {{new}}
  
 
Image:TrackerStabilizer.png|[[Documentation/{{documentation/version}}/Extensions/TrackerStabilizer|Tracker Stabilizer]] to output a filtered transform node based on an tracker input (transform node).{{updated}}
 
Image:TrackerStabilizer.png|[[Documentation/{{documentation/version}}/Extensions/TrackerStabilizer|Tracker Stabilizer]] to output a filtered transform node based on an tracker input (transform node).{{updated}}
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Image:UKFTractography.png|[[Documentation/{{documentation/version}}/Extensions/UKFTractography|UKF Tractography]] a framework which uses an unscented Kalman filter for performing tractography.{{updated}}
 
Image:UKFTractography.png|[[Documentation/{{documentation/version}}/Extensions/UKFTractography|UKF Tractography]] a framework which uses an unscented Kalman filter for performing tractography.{{updated}}
  
Image:XXX.png| VolumeClip {{new}}
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Image:VolumeClipLogo.png|[[Documentation/{{documentation/version}}/Extensions/VolumeClip|VolumeClip]]: Clip volumes with surface models and ROI boxes {{new}}
  
 
Image:WindowLevelEffectLogo.png|[[Documentation/{{documentation/version}}/Extensions/WindowLevelEffect|Window/Level Effect]] to adjust window/level for volumes using mouse and/or region of interest.{{updated}}
 
Image:WindowLevelEffectLogo.png|[[Documentation/{{documentation/version}}/Extensions/WindowLevelEffect|Window/Level Effect]] to adjust window/level for volumes using mouse and/or region of interest.{{updated}}
  
 
Image:XNATSlicerIcon.jpg|[[Documentation/{{documentation/version}}/Extensions/XNATSlicer| XNAT Slicer]] Secure GUI-based IO with any XNAT server.{{updated}}
 
Image:XNATSlicerIcon.jpg|[[Documentation/{{documentation/version}}/Extensions/XNATSlicer| XNAT Slicer]] Secure GUI-based IO with any XNAT server.{{updated}}
 
  
  

Revision as of 06:27, 18 November 2014

Home < Documentation < Nightly < Announcements


For the latest Slicer documentation, visit the read-the-docs.




Nightly


Summary What is 3D Slicer Slicer Nightly Highlights Slicer Extensions Other Improvements, Additions & Documentation

Summary

The community of Slicer developers is proud to announce the release of Slicer Nightly.

  • Slicer Nightly introduces
    • an improved App store, known as the extension manager, for adding capabilities to Slicer. More than 50 plug-ins are currently available.
    • close to 400 feature improvements and bug fixes lead to improved performance and stability.
    • augmentation of many modules.
  • Click here to download Slicer Nightly for different platforms and find pointers to the source code, mailing lists and bug tracker.
  • Please note that Slicer continues to be a research package and is not intended for clinical use. Testing of functionality is an ongoing activity with high priority, however, some features of Slicer are not fully tested.
  • The Slicer Training page provides a series of courses for learning how to use Slicer. The portfolio contains self-guided presentation and sample data sets.

The main slicer.org pages provide a guided tour to the application, training materials, and the development community. New users should start there because we try to keep the pages organized and up to date.

What is 3D Slicer

Slicer is a community platform created for the purpose of subject specific image analysis and visualization.

  • Multi-modality imaging including, MRI, CT, US, nuclear medicine, and microscopy
  • Multi organ from head to toe
  • Bidirectional interface for devices
  • Expandable and interfaced to multiple toolkits

There is no restriction on use, but permissions and compliance with rules are responsibility of users. For details on the license see here

Slicer Nightly Highlights

DICOM

  • Improved DICOM support and user experience
    • Added a way to change the table densities in three levels: compact, cozy and comfortable.
    • Re-arranged the patient, study and series search box so that the search box will be on the top of tables for both horizontal and vertical cases.
    • Resize tables based on contents.
    • Allow users to acknowledge all DICOM loading errors with a single click
    • Add DICOM meta-data (header) viewer
    • Auto-examine in dicom browser added by providing two modes: Advanced and Non-advanced mode.
    • Added repair tool for DICOM database

Transforms

  • Improved integration of non rigid deformations, including grid (displacement field) and bspline transforms
  • Interactive application of non rigid deformations to volume slices, models, markups
  • Visualization of any transforms as glyphs, grid, or contours in 2D slice and 3D views - click here for demo video
  • Computing and applying inverse transforms, compositing any number of transforms
  • Real-time update: if the transform (or any visualization parameter) is changed then the visualization is updated immediately (interactive visualization while editing the transform)
  • Detailed transform information display (type of transform, basic properties, displacement at current position)
  • Loading/saving of oriented bspline transforms with or without additive bulk component
  • Loading/saving of oriented grid transforms
  • Loading/saving of transforms in h5 file format

Colors

  • Improved Colors module user interface
    • Added support to display continuous color scales
    • Added an option to use color names as labels on the scalar bar

Markups

  • Improved Markups module user interface
    • Add slice intersections toggle
    • Add right click option to copy markups list
    • Add coordinates to right click menu

Editor

  • Add a Sphere option to the PaintEffect to make it quicker to segment large anatomical regions that are somewhat spherical.
  • Paint using pixel mode if brush size is too small
  • Button effect are checked/unchecked based on the 'effect' property stored in the parameter node

Extensions Manager

  • Add search box
  • Add 'More' link
  • Load extension icon from disk
  • Implement downloading of extension icons
  • Install extension dependencies
  • Add mechanism to check for extensions updates

Slicer Extensions

Other Improvements, Additions & Documentation

Optimization

  • Improve Rendering pipeline performance optimizing observations management
  • Reduce memory footprint (Fix memory leaks)
  • Reduce installer size
  • Faster image stack (png, jpg, bmp, tiff...) loading

Rendering / Visualization

  • Add Multi-sampling option

CLI / SlicerExecutionModel

  • Improved CLI AutoRun ensuring slice view is not reset when inputs are updated.
  • In developer mode do not remove CLI input and output files
  • Reduce the chance of crashes when CLI returns result images

Python scripting

  • Add support for real Qt resources in Python. See r23290 for details.
  • Improve VTK event support adding a way to specify the CallData type. See here for details.
  • Bundle pydicom python module in Slicer package
  • Add helper methods to ScriptedLoadableModuleLogic for managing parameter nodes
  • SelfTest: Add clickAndDrag() method to the scripted module. It allows to send synthetic mouse events to the specified widget (qMRMLSliceWidget or qMRMLThreeDView)
  • Improve slicer.util python module.
    • Add modulePath(moduleName) method
    • Add resetThreeDViews/resetSliceViews
    • Add VTKObservationMixin
    • Add getFirstNodeByClassAndName()
    • Add NodeModify context manager: It allows to easily disable modified event associated with a node, and automatically re-enable them and invoking them if it applies.
  • TODO: Add reference to VTKv6 blog posts

Other

  • Help / Report a bug: Application error/warning/debug log messages are now saved to file. Added option to copy/paste log file contents of recent Slicer sessions to bug reports.

For Developers

Under the hood

  • Add support for user-defined stereo-viewing options
  • Build-system
    • Improve support for Visual Studio 2013
    • Refactor management of external project launcher settings. See r23724
    • Add option Slicer_ITKV3_COMPATIBILITY. This option enabled by default will allow (if disabled) to build Slicer with ITKv3 compatibility later disabled and ITK_USE_64BITS_IDS enabled.



Looking at the Code Changes

From a git checkout you can easily see the all the commits since the time of the 4.4.0 release:

git log v4.3.0..HEAD

To see a summary of your own commits, you could use something like:

git log v4.3.0..HEAD  --oneline --author=pieper

see the git log man page for more options.

Commit stats and full changelog

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