Many clinical works require medical inter-modality imaging results since the supplementary imaging information from different modalities can be combined to ...
Mar 4, 2024 · Traditionally, this is done by scanning patients with different modalities, which is expensive, time-consuming, laborious, and may have health ...
Mar 7, 2024 · The book includes expert contributions on the processing and characterization of the materials that are frequently referred to as the critical ...
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Sep 13, 2024 · We introduce a Cross-conditioned Diffusion Model (CDM) for medical image-to-image translation. The core idea of CDM is to use the distribution of target ...
Sep 12, 2023 · The purpose of this paper is to review studies which use deep learning methods to generate synthetic medical images of modalities such as MRI ...
Aug 21, 2022 · We propose CoCycleReg, a novel method that formulates image registration and translation in a Collaborative Cycle-consistency manner.
Dec 7, 2023 · We propose a real-time volumetric indirect registration using a deep learning approach where the fusion of multi-imaging modalities will allow for guidance and ...
Translating and Segmenting Multimodal Medical Volumes with Cycle- and. Shape-Consistency Generative Adversarial Network. Zizhao Zhang+∗, Lin Yang+, Yefeng ...
In this paper, we introduce a new paradigm for volumetric medical data synthesis by leveraging 2D backbones and present a diffusion-based framework, Make-A- ...
Synthesized medical images have several important applications, e.g., as an intermedium in cross-modality image registration and as supplementary training ...