Related references
Note: Only part of the references are listed.Hallmarks of Cancer: New Dimensions
Douglas Hanahan
CANCER DISCOVERY (2022)
Radiomic machine learning for predicting prognostic biomarkers and molecular subtypes of breast cancer using tumor heterogeneity and angiogenesis properties on MRI
Ji Young Lee et al.
EUROPEAN RADIOLOGY (2022)
Generative Adversarial Networks
Ian Goodfellow et al.
COMMUNICATIONS OF THE ACM (2020)
Radiomics with artificial intelligence for precision medicine in radiation therapy
Hidetaka Arimura et al.
JOURNAL OF RADIATION RESEARCH (2019)
Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges
Mohammad Hesam Hesamian et al.
JOURNAL OF DIGITAL IMAGING (2019)
Survey on semantic segmentation using deep learning techniques
Fahad Lateef et al.
NEUROCOMPUTING (2019)
FAIM - A ConvNet Method for Unsupervised 3D Medical Image Registration
Dongyang Kuang et al.
MACHINE LEARNING IN MEDICAL IMAGING (MLMI 2019) (2019)
A new Python library to analyse skeleton images confirms malaria parasite remodelling of the red blood cell membrane skeleton
Juan Nunez-Iglesias et al.
PEERJ (2018)
Modelling skin wound healing angiogenesis: A review
Ana Guerra et al.
JOURNAL OF THEORETICAL BIOLOGY (2018)
Adversarial Image Registration with Application for MR and TRUS Image Fusion
Pingkun Yan et al.
MACHINE LEARNING IN MEDICAL IMAGING: 9TH INTERNATIONAL WORKSHOP, MLMI 2018 (2018)
Large-scale Radiomic Profiling of Recurrent Glioblastoma Identifies an Imaging Predictor for Stratifying Anti-Angiogenic Treatment Response
Philipp Kickingereder et al.
CLINICAL CANCER RESEARCH (2016)
A survey on skeletonization algorithms and their applications
Punam K. Saha et al.
PATTERN RECOGNITION LETTERS (2016)
Skeletonization algorithm-based blood vessel quantification using in vivo 3D photoacoustic imaging
K. M. Meiburger et al.
PHYSICS IN MEDICINE AND BIOLOGY (2016)
3D reconstruction of small sized objects from a sequence of multi-focused images
Alessandro Gallo et al.
JOURNAL OF CULTURAL HERITAGE (2014)
Role of imaging in the diagnosis and management of patients with cardiac amyloidosis: State of the art review and focus on emerging nuclear techniques
Wael A. AlJaroudi et al.
JOURNAL OF NUCLEAR CARDIOLOGY (2014)
scikit-image: image processing in Python
Stefan van der Walt et al.
PEERJ (2014)
Deformable Medical Image Registration: A Survey
Aristeidis Sotiras et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2013)
Image registration methods:: a survey
B Zitová et al.
IMAGE AND VISION COMPUTING (2003)
Role of angiogenesis in tumor growth and metastasis
J Folkman
SEMINARS IN ONCOLOGY (2002)
Automated reconstruction of 3D scenes from sequences of images
M Pollefeys et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2000)
Share Paper
