Results 21 to 30 of about 2,709,443 (248)
Scientific Reports, 2021 This study investigated the impact of different ROI placement and analysis methods on the diagnostic performance of simplified IVIM-DWI for differentiating liver lesions. 1.5/3.0-T DWI data from a respiratory-gated MRI sequence (b = 0, 50, 250, 800 s/mm2)
Narine Mesropyan +6 more
doaj +1 more source
Neural Feature Fusion Fields: 3D Distillation of Self-Supervised 2D Image Representations [PDF]
International Conference on 3D Vision, 2022 We present Neural Feature Fusion Fields $(N3F),\ a$ method that improves dense $2D$ image feature extractors when the latter are applied to the analysis of multiple images reconstructible as a $3D$ scene. Given an image feature extractor, for example pre-
Vadim Tschernezki +3 more
semanticscholar +1 more source
Journal of Foot and Ankle Research, 2020 Background Measurements of plantar loading reveal foot-to-floor interaction during activity, but information on bone architecture cannot be derived. Recently, cone-beam computer tomography (CBCT) has given visual access to skeletal structures in weight ...
Claudio Belvedere +9 more
doaj +1 more source
Bone & Joint Open, 2022 Aims Low-energy distal radius fractures (DRFs) are the most common upper arm fractures correlated with bone fragility. Vitamin D deficiency is an important risk factor associated with DRFs.
Shingo Abe +9 more
doaj +1 more source
Farm3D: Learning Articulated 3D Animals by Distilling 2D Diffusion [PDF]
International Conference on 3D Vision, 2023 We present Farm3D, a method for learning category-specific 3D reconstructors for articulated objects, relying solely on “free” virtual supervision from a pre-trained 2D diffusion-based image generator. Recent approaches can learn a monocular network that
Tomas Jakab +4 more
semanticscholar +1 more source
Control3Diff: Learning Controllable 3D Diffusion Models from Single-view Images [PDF]
International Conference on 3D Vision, 2023 Diffusion models have recently become the de-facto approach for generative modeling in the 2D domain. However, extending diffusion models to 3D is challenging, due to the difficulties in acquiring 3D ground truth data for training.
Jiatao Gu +5 more
semanticscholar +1 more source
Radiation Oncology, 2011 Background The aim of the present study was to evaluate the recovery potential of the parotid glands after using either 3D-conformal-radiotherapy (3D-CRT) or intensity-modulated radiotherapy (IMRT) by sparing one single parotid gland.
Vordermark Dirk +7 more
doaj +1 more source
MonoLSS: Learnable Sample Selection For Monocular 3D Detection [PDF]
International Conference on 3D Vision, 2023 In the field of autonomous driving, monocular 3D detection is a critical task which estimates 3D properties (depth, dimension, and orientation) of objects in a single RGB image. Previous works have used features in a heuristic way to learn 3D properties,
Zhenjia Li, Jinrang Jia, Yifeng Shi
semanticscholar +1 more source
Line defects in three dimensional mirror symmetry beyond linear quivers
Journal of High Energy Physics, 2022 The map of half-BPS line defects under mirror symmetry has previously been worked out for 3d N $$ \mathcal{N} $$ = 4 linear quivers with unitary gauge groups, where these defects have a clear realization in terms of a brane picture in Type IIB String ...
Anindya Dey
doaj +1 more source
TEACH: Temporal Action Composition for 3D Humans [PDF]
International Conference on 3D Vision, 2022 Given a series of natural language descriptions, our task is to generate 3D human motions that correspond semantically to the text, and follow the temporal order of the instructions.
Nikos Athanasiou +3 more
semanticscholar +1 more source