Results 71 to 80 of about 412,052 (160)

Generalising Deep Learning MRI Reconstruction across Different Domains

, 2019
We look into robustness of deep learning based MRI reconstruction when tested on unseen contrasts and organs. We then propose to generalise the network by training with large publicly-available natural image datasets with synthesised phase information to
Biffi, Carlo, Caballero, Jose, Hajnal, Joseph V., Ouyang, Cheng, Price, Anthony N., Rueckert, Daniel, Schlemper, Jo, Seegoolam, Gavin   +7 more
core  

Deep Learning for 3D Reconstruction, Augmentation, and Registration: A Review Paper

Entropy
The research groups in computer vision, graphics, and machine learning have dedicated a substantial amount of attention to the areas of 3D object reconstruction, augmentation, and registration.
Prasoon Kumar Vinodkumar, Dogus Karabulut, Egils Avots, Cagri Ozcinar, Gholamreza Anbarjafari   +4 more
doaj   +1 more source

Novel deep learning methods for track reconstruction

, 2018
For the past year, the HEP.TrkX project has been investigating machine learning solutions to LHC particle track reconstruction problems. A variety of models were studied that drew inspiration from computer vision applications and operated on an image ...
Anderson, Dustin, Bendavid, Josh, Calafiura, Paolo, Cerati, Giuseppe, Farrell, Steven, Gray, Lindsey, Kowalkowski, Jim, Mudigonda, Mayur, Prabhat, Spentzouris, Panagiotis, Spiropulu, Maria, Tsaris, Aristeidis, Vlimant, Jean-Roch, Zheng, Stephan   +13 more
core  

MouldingNet: Deep-learning for 3D Object Reconstruction [PDF]

, 2019
th the rise of deep neural networks a number of approaches for learning over 3D data have gained popularity. In this paper, we take advantage of one of these approaches, bilateral convolutional layers to propose a novel end-to-end deep auto-encoder architecture to efficiently encode and reconstruct 3D point clouds.
Burns, Tobias, Pearlmutter, Barak, McDonald, John B.   +2 more
openaire   +2 more sources

Enhanced Partial Fourier MRI With Zero-Shot Deep Untrained Priors

IEEE Access
We present a novel method for partial Fourier reconstruction using a zero-shot unsupervised deep learning approach. Specifically, this method enhances partial Fourier reconstruction by integrating the traditional phase constraint with recent advancements
So Hyun Kang, Jihoo Kim, Jaejin Cho, Clarissa Zimmerman Cooley, Amir Heydari, Berkin Bilgic, Tae Hyung Kim   +6 more
doaj   +1 more source

Single Pixel Imaging Based on Multiple Prior Deep Unfolding Network

IEEE Photonics Journal
Single-pixel imaging (SPI), an imaging technique based on the theory of compressed sensing, is limited in real-time imaging and high-resolution images due to its relatively slow imaging speed.
Quan Zou, Qiurong Yan, Qianling Dai, Ao Wang, Bo Yang, Yi Li, Jinwei Yan   +6 more
doaj   +1 more source

A Review of Optimization-Based Deep Learning Models for MRI Reconstruction

AppliedMath
Magnetic resonance imaging (MRI) is crucial for its superior soft tissue contrast and high spatial resolution. Integrating deep learning algorithms into MRI reconstruction has significantly enhanced image quality and efficiency.
Wanyu Bian, Yokhesh Krishnasamy Tamilselvam   +1 more
doaj   +1 more source

Single-Shot 3D Reconstruction via Nonlinear Fringe Transformation: Supervised and Unsupervised Learning Approaches

Sensors
The field of computer vision has been focusing on achieving accurate three-dimensional (3D) object representations from a single two-dimensional (2D) image through deep artificial neural networks. Recent advancements in 3D shape reconstruction techniques
Andrew-Hieu Nguyen, Zhaoyang Wang
doaj   +1 more source

3D Face Reconstruction Based on a Single Image: A Review

IEEE Access
Nowadays, along with the rise of digital human system, 3D animation, intelligent medical and other industries, 3D face reconstruction technology has become a popular research direction in computer vision and computer graphics.
Haojie Diao, Xingguo Jiang, Yang Fan, Ming Li, Hongcheng Wu   +4 more
doaj   +1 more source

Simultaneous High-Resolution Blind Image Reconstruction and Perturbation Defense

IEEE Access
High-resolution image reconstruction from partial observations plays an important role in modern electronic information systems and has attracted widespread intense attention in both the academic and industrial fields.
Bin Xue, Qinghua Zheng, Zhinan Li, Chunwang Mu, Jungang Yang, Xue Feng, Hongqi Fan, Xiang Li   +7 more
doaj   +1 more source