Weakly-supervised convolutional neural networks for multimodal image registration
Sign Up to like & getrecommendations! Published in 2018 at "Medical image analysis"
DOI: 10.1016/j.media.2018.07.002
Abstract: HighlightsA method to infer voxel‐level correspondence from higher‐level anatomical labels.Efficient and fully‐automated registration for MR and ultrasound prostate images.Validation experiments with 108 pairs of labelled interventional patient images.Open‐source implementation. ABSTRACT One of the fundamental challenges… read more here.
Keywords: voxel level; image; image registration; multimodal image ... See more keywords
Multimodal Image Registration Through Simultaneous Segmentation
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2017.2754263
Abstract: Multimodal image registration facilitates the combination of complementary information from images acquired with different modalities. Most existing methods require computation of the joint histogram of the images, while some perform joint segmentation and registration in… read more here.
Keywords: image registration; multimodal image; segmentation; registration ... See more keywords
Designing CNNs for Multimodal Image Restoration and Fusion via Unfolding the Method of Multipliers
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3163649
Abstract: Multimodal, alias, guided, image restoration is the reconstruction of a degraded image from a target modality with the aid of a high quality image from another modality. A similar task is image fusion; it refers… read more here.
Keywords: fusion; image restoration; restoration fusion; multimodal image ... See more keywords
Multimodal Image Fusion Framework for End-to-End Remote Sensing Image Registration
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3247642
Abstract: We formulate the registration as a function that maps the input reference and sensed images to eight displacement parameters between prescribed matching points, as opposed to the usual techniques (feature extraction–description–matching–geometric restrictions). The projection transformation… read more here.
Keywords: end end; remote sensing; image fusion; sensing image ... See more keywords
Multimodal image reconstruction from tomographic diffraction microscopy data
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Microscopy"
DOI: 10.1111/jmi.13131
Abstract: Tomographic diffraction microscopy (TDM) is a tool of choice for high‐resolution, marker‐less 3D imaging of biological samples. Based on a generalization of digital holographic microscopy with full control of the sample's illumination, TDM measures, from… read more here.
Keywords: diffraction microscopy; microscopy; multimodal image; reconstruction ... See more keywords
Multimodal image fusion with adaptive joint sparsity model
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.28.1.013043
Abstract: Abstract. An adaptive joint sparsity model (JSM) is presented for multimodal image fusion. As a multisignal modeling technique, JSM, which is derived from distributed compressed sensing, has been successfully employed in multimodal image fusion. In… read more here.
Keywords: fusion; image fusion; multimodal image; model ... See more keywords
Multimodal image and spectral feature learning for efficient analysis of water-suspended particles.
Sign Up to like & getrecommendations! Published in 2023 at "Optics express"
DOI: 10.1364/oe.470878
Abstract: We have developed a method to combine morphological and chemical information for the accurate identification of different particle types using optical measurement techniques that require no sample preparation. A combined holographic imaging and Raman spectroscopy… read more here.
Keywords: spectral feature; feature learning; multimodal image; image spectral ... See more keywords
Combination of Preoperative Multimodal Image Fusion and Intraoperative Dyna CT in Percutaneous Balloon Compression of Trigeminal Ganglion for Primary Trigeminal Neuralgia: Experience in 24 Patients
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Surgery"
DOI: 10.3389/fsurg.2022.895394
Abstract: Objective We retrospectively assessed the surgical results of PBC with preoperative multimodal image fusion and intraoperative Dyna Computed Tomography (CT) in 24 patients with primary trigeminal neuralgia (PTN) to explore a valuable aid for Percutaneous… read more here.
Keywords: dyna; image fusion; preoperative multimodal; multimodal image ... See more keywords
GRPAFusion: A Gradient Residual and Pyramid Attention-Based Multiscale Network for Multimodal Image Fusion
Sign Up to like & getrecommendations! Published in 2023 at "Entropy"
DOI: 10.3390/e25010169
Abstract: Multimodal image fusion aims to retain valid information from different modalities, remove redundant information to highlight critical targets, and maintain rich texture details in the fused image. However, current image fusion networks only use simple… read more here.
Keywords: grpafusion; fusion; gradient residual; image fusion ... See more keywords