[HTML][HTML] Post mortem map** of connectional anatomy for the validation of diffusion MRI
Diffusion MRI (dMRI) is a unique tool for the study of brain circuitry, as it allows us to image
both the macroscopic trajectories and the microstructural properties of axon bundles in vivo …
both the macroscopic trajectories and the microstructural properties of axon bundles in vivo …
[HTML][HTML] DiCyc: GAN-based deformation invariant cross-domain information fusion for medical image synthesis
Cycle-consistent generative adversarial network (CycleGAN) has been widely used for cross-
domain medical image synthesis tasks particularly due to its ability to deal with unpaired …
domain medical image synthesis tasks particularly due to its ability to deal with unpaired …
The Digital Brain Bank, an open access platform for post-mortem imaging datasets
Post-mortem magnetic resonance imaging (MRI) provides the opportunity to acquire high-
resolution datasets to investigate neuroanatomy and validate the origins of image contrast …
resolution datasets to investigate neuroanatomy and validate the origins of image contrast …
Light-weight deformable registration using adversarial learning with distilling knowledge
Deformable registration is a crucial step in many medical procedures such as image-guided
surgery and radiation therapy. Most recent learning-based methods focus on improving the …
surgery and radiation therapy. Most recent learning-based methods focus on improving the …
Beyond macrostructure: Is there a role for radiomics analysis in neuroimaging?
The most commonly used neuroimaging biomarkers of brain structure, particularly in
neurodegenerative diseases, have traditionally been summary measurements from ROIs …
neurodegenerative diseases, have traditionally been summary measurements from ROIs …
Common feature learning for brain tumor MRI synthesis by context-aware generative adversarial network
Abstract Multi-modal structural Magnetic Resonance Image (MRI) provides complementary
information and has been used widely for diagnosis and treatment planning of gliomas …
information and has been used widely for diagnosis and treatment planning of gliomas …
Cross-modality map** using image varifolds to align tissue-scale atlases to molecular-scale measures with application to 2D brain sections
This paper explicates a solution to building correspondences between molecular-scale
transcriptomics and tissue-scale atlases. This problem arises in atlas construction and cross …
transcriptomics and tissue-scale atlases. This problem arises in atlas construction and cross …
Projective diffeomorphic map** of molecular digital pathology with tissue mri
KM Stouffer, MP Witter, DJ Tward… - Communications …, 2022 - nature.com
Reconstructing dense 3D anatomical coordinates from 2D projective measurements has
become a central problem in digital pathology for both animal models and human studies …
become a central problem in digital pathology for both animal models and human studies …
Multi-Constraint Transferable Generative Adversarial Networks for Cross-Modal Brain Image Synthesis
Recent progress in generative models has led to the drastic growth of research in image
generation. Existing approaches show visually compelling results by learning multi-modal …
generation. Existing approaches show visually compelling results by learning multi-modal …
Integration of a knowledge-based constraint into generative models with applications in semi-automatic segmentation of liver tumors
Accurate delineation of liver tumors in medical images is a vital step in diagnosis, treatment
planning, and monitoring. In this paper, we utilize a generative model for segmentation of …
planning, and monitoring. In this paper, we utilize a generative model for segmentation of …