3D Slicer as an image computing platform for the Quantitative Imaging Network.
Andriy Fedorov,Reinhard Beichel,Jayashree Kalpathy-Cramer,Julien Finet,Jean-Christophe Fillion-Robin,Sonia Pujol,Christian Bauer,Dominique Jennings,Fiona M. Fennessy,Milan Sonka,John M. Buatti,Stephen R. Aylward,James V. Miller,Steve Pieper,Ron Kikinis +14 more
TLDR
An overview of 3D Slicer is presented as a platform for prototyping, development and evaluation of image analysis tools for clinical research applications and the utility of the platform in the scope of QIN is illustrated.About:
This article is published in Magnetic Resonance Imaging.The article was published on 2012-11-01 and is currently open access. It has received 4786 citations till now.read more
Citations
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Book ChapterDOI
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
Özgün Çiçek,Ahmed Abdulkadir,Ahmed Abdulkadir,Soeren S. Lienkamp,Thomas Brox,Olaf Ronneberger,Olaf Ronneberger +6 more
TL;DR: In this paper, the authors propose a network for volumetric segmentation that learns from sparsely annotated volumetrized images, which is trained end-to-end from scratch, i.e., no pre-trained network is required.
Journal ArticleDOI
Computational Radiomics System to Decode the Radiographic Phenotype
Joost J. M. van Griethuysen,Joost J. M. van Griethuysen,Joost J. M. van Griethuysen,Andriy Fedorov,Chintan Parmar,Ahmed Hosny,Nicole Aucoin,Vivek Narayan,Regina G. H. Beets-Tan,Regina G. H. Beets-Tan,Jean-Christophe Fillion-Robin,Steve Pieper,Hugo J.W.L. Aerts +12 more
TL;DR: PyRadiomics, a flexible open-source platform capable of extracting a large panel of engineered features from medical images, is developed and its application in characterizing lung lesions is demonstrated.
Book ChapterDOI
Diffusion Tensor Imaging
Inga K. Koerte,Marc Muehlmann +1 more
TL;DR: This chapter describes the basics of the DTI technique, outlines resources needed for acquisition, and focuses on post-processing techniques and statistical analyses with and without a priori hypotheses.
Posted Content
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
Özgün Çiçek,Ahmed Abdulkadir,Ahmed Abdulkadir,Soeren S. Lienkamp,Thomas Brox,Olaf Ronneberger,Olaf Ronneberger +6 more
TL;DR: The proposed network extends the previous u-net architecture from Ronneberger et al. by replacing all 2D operations with their 3D counterparts and performs on-the-fly elastic deformations for efficient data augmentation during training.
Journal ArticleDOI
Lead-DBS v2: Towards a comprehensive pipeline for deep brain stimulation imaging.
Andreas Horn,Ningfei Li,Till A. Dembek,Ari D Kappel,Chadwick B. Boulay,Siobhan Ewert,Anna Tietze,Andreas Husch,Thushara Perera,Wolf-Julian Neumann,Marco Reisert,Hang Si,Robert Oostenveld,Chris Rorden,Fang-Cheng Yeh,Qianqian Fang,Todd M. Herrington,Johannes Vorwerk,Andrea A. Kühn +18 more
TL;DR: This work represents a multi‐institutional collaborative effort to develop a comprehensive, open source pipeline for DBS imaging and connectomics, which has already empowered several studies, and may facilitate a variety of future studies in the field.
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