Information Processing in Medical Imaging : Proceedings of the ... Conference
Overview
Information Processing in Medical Imaging : Proceedings of the ... Conference is a scientific journal, published since 1980s in English. The journal's country of origin is Germany.
Details
Details
Abbr.
Inf Process Med Imaging
Start
1980s
End
Continuing
Frequency
Biennial
p-ISSN
1011-2499
Country
Germany
Language
English
Recent Articles
1.
DSouza N, Venkataraman A
Inf Process Med Imaging
. 2024 Oct;
2023:53-65.
PMID: 39469414
Connectomics has emerged as a powerful tool in neuroimaging and has spurred recent advancements in statistical and machine learning methods for connectivity data. Despite connectomes inhabiting a matrix manifold, most...
2.
Huang J, Chung M, Qiu A
Inf Process Med Imaging
. 2024 May;
13939:278-290.
PMID: 38774602
This study proposes a novel heterogeneous graph convolutional neural network (HGCNN) to handle complex brain fMRI data at regional and across-region levels. We introduce a generic formulation of spectral filters...
3.
Zhou L, Liu H, Bae J, He J, Samaras D, Prasanna P
Inf Process Med Imaging
. 2024 Apr;
13939:743-754.
PMID: 38680428
Although token sparsification has been applied to Vision Transformers (ViT) to accelerate classification, it is still unknown how to perform segmentation from sparse tokens. To this end, we reformulate segmentation...
4.
Tandon R, Kirkpatrick A, Mitchell C
Inf Process Med Imaging
. 2024 Apr;
13939:208-221.
PMID: 38680427
The Event Based Model (EBM) is a probabilistic generative model to explore biomarker changes occurring as a disease progresses. Disease progression is hypothesized to occur through a sequence of biomarker...
5.
Bouza J, Yang C, Vemuri B
Inf Process Med Imaging
. 2024 Jan;
13939:563-575.
PMID: 38205236
Deep learning based models for registration predict a transformation directly from moving and fixed image appearances. These models have revolutionized the field of medical image registration, achieving accuracy on-par with...
6.
Farazi M, Yang Z, Zhu W, Qiu P, Wang Y
Inf Process Med Imaging
. 2024 Jan;
13939:303-315.
PMID: 38179190
Convolutional neural networks (CNN) have been broadly studied on images, videos, graphs, and triangular meshes. However, it has seldom been studied on tetrahedral meshes. Given the merits of using volumetric...
7.
Bani A, Ha S, Xiao P, Earnest T, Lee J, Sotiras A
Inf Process Med Imaging
. 2023 Nov;
13939:497-508.
PMID: 37969113
The increasing availability of large-scale neuroimaging initiatives opens exciting opportunities for discovery science of human brain structure and function. Data-driven techniques, such as Orthonormal Projective Non-negative Matrix Factorization (opNMF), are...
8.
Zhao J, Liu S, Ahmad S, Pew-Thian Y
Inf Process Med Imaging
. 2023 Nov;
13939:536-547.
PMID: 37915753
Surface reconstruction of cortical and subcortical structures is crucial for brain morphological studies. Existing deep learning surface reconstruction methods, such as DeepCSR and Vox2Surf, learn an implicit field function for...
9.
Elaldi A, Dey N, Kim H, Gerig G
Inf Process Med Imaging
. 2023 Aug;
12729:267-278.
PMID: 37576905
We present a rotation-equivariant self-supervised learning framework for the sparse deconvolution of non-negative scalar fields on the unit sphere. Spherical signals with multiple peaks naturally arise in Diffusion MRI (dMRI),...
10.
Nejatbakhsh A, Dey N, Venkatachalam V, Yemini E, Paninski L, Varol E
Inf Process Med Imaging
. 2023 Jul;
13939:332-343.
PMID: 37476079
Atlases are crucial to imaging statistics as they enable the standardization of inter-subject and inter-population analyses. While existing atlas estimation methods based on fluid/elastic/diffusion registration yield high-quality results for the...