[HTML][HTML] A gentle introduction to deep learning in medical image processing
This paper tries to give a gentle introduction to deep learning in medical image processing,
proceeding from theoretical foundations to applications. We first discuss general reasons for …
proceeding from theoretical foundations to applications. We first discuss general reasons for …
Joint progressive and coarse-to-fine registration of brain MRI via deformation field integration and non-rigid feature fusion
Registration of brain MRI images requires to solve a deformation field, which is extremely
difficult in aligning intricate brain tissues, eg, subcortical nuclei, etc. Existing efforts resort to …
difficult in aligning intricate brain tissues, eg, subcortical nuclei, etc. Existing efforts resort to …
Evaluation of MRI to ultrasound registration methods for brain shift correction: the CuRIOUS2018 challenge
In brain tumor surgery, the quality and safety of the procedure can be impacted by intra-
operative tissue deformation, called brain shift. Brain shift can move the surgical targets and …
operative tissue deformation, called brain shift. Brain shift can move the surgical targets and …
Deep learning in biomedical informatics
CL Hung - Intelligent Nanotechnology, 2023 - Elsevier
With the massive influx of multimodal data in the last decade, the role of data analytics in
health informatics has grown rapidly. Deep learning (DL) is defined as a technology based …
health informatics has grown rapidly. Deep learning (DL) is defined as a technology based …
Deep learning for medical image recognition: open issues and a way to forward
In the recent decade, deep learning has taken lead over available analysis techniques.
Today's deep learning is used in diversified sectors like health care, traffic management …
Today's deep learning is used in diversified sectors like health care, traffic management …
Deformable MRI-Ultrasound registration using correlation-based attribute matching for brain shift correction: Accuracy and generality in multi-site data
Intraoperative tissue deformation, known as brain shift, decreases the benefit of using
preoperative images to guide neurosurgery. Non-rigid registration of preoperative magnetic …
preoperative images to guide neurosurgery. Non-rigid registration of preoperative magnetic …
Deep action learning enables robust 3D segmentation of body organs in various CT and MRI images
X Zhong, M Amrehn, N Ravikumar, S Chen… - Scientific Reports, 2021 - nature.com
In this study, we propose a novel point cloud based 3D registration and segmentation
framework using reinforcement learning. An artificial agent, implemented as a distinct actor …
framework using reinforcement learning. An artificial agent, implemented as a distinct actor …
ARENA: Inter-modality affine registration using evolutionary strategy
Purpose Image fusion of different imaging modalities renders valuable information to
clinicians. In this paper, we proposed an automatic multimodal registration method to …
clinicians. In this paper, we proposed an automatic multimodal registration method to …
iRegNet: Non-rigid registration of MRI to interventional US for brain-shift compensation using convolutional neural networks
RA Zeineldin, ME Karar, Z Elshaer… - Ieee …, 2021 - ieeexplore.ieee.org
Accurate and safe neurosurgical intervention can be affected by intra-operative tissue
deformation, known as brain-shift. In this study, we propose an automatic, fast, and accurate …
deformation, known as brain-shift. In this study, we propose an automatic, fast, and accurate …
A hybrid deep registration of MR scans to interventional ultrasound for neurosurgical guidance
Despite the recent advances in image-guided neurosurgery, reliable and accurate
estimation of the brain shift still remains one of the key challenges. In this paper, we propose …
estimation of the brain shift still remains one of the key challenges. In this paper, we propose …