… multimodal methods combine medical images from various modalities to make a new fused
image … We present a review of multimodal medical imaging modalities by overcoming all the …

… medical images. The purpose of this work is to develop label-efficient multimodal medical
imaging … contrasting image sub-regions and words in the paired report. In addition, we propose …

… To retrieve images with … image retrieval framework (CBIR) for medical image retrieval using
deep Convolutional Neural Network (CNN). We present retrieval results for medical images …

… method to fuse multimodal medical images via a multiscale adaptive … fashion so that useful
multimodal information can be … and state-of-the-art methods in terms of both visual quality and …

… a comprehensive overview of medical image fusion methods with theoretical background
and … of medical image fusion. The pixel-level, feature-level and decision-level fusion methods …

… measure to modulate PCNN in the medical image fusion field. To further improve the fusion
quality of medical images, we propose a medical image fusion method based on boundary …

… Fusion Methods This chapter introduces the methods of medical image fusion from three
aspects, the fusion method based on spatial domain, the fusion method based on transform …

… as state-of-the-art in numerous medical image synthesis tasks. However, CNNs are designed
to … Here, we propose a novel generative adversarial approach for medical image synthesis, …

… for a 3D medical image I, we apply a 3D image encoder F3D to extract its feature representation
Z = F3D(I). To enhance the model’s discriminative capability for medical image features, …

… utilizing discrete wavelet transform, illustrating the potentials of application of multimodal
methods in the operative analysis, pre-surgical planning, and diagnosis processes. …