Fast numerical methods for image restoration by Shi, Juan

“…We mainly solve three different essential computer vision problems: image denoising problem, image segmentation problem and surface reconstruction problem. …”
Get full text

Inhomogeneity correction of magnetic resonance brain images by Chua, Zin Yan

“…In this research, we are focusing on techniques to correct the intensity inhomogeneity by performing a coarse preliminary segmentation on the MR images and then use the segmentation result to estimate the bias field. [3rd Award]…”
Get full text
Get full text

Distinct movement disorders in contactin-associated-protein-like-2 antibody-associated autoimmune encephalitis by Gövert, F, Abrante, L, Becktepe, J, Balint, B, Ganos, C, Hofstadt-van Oy, U, Krogias, C, Varley, J, Irani, SR, Paneva, S, Titulaer, MJ, de Vries, JM, Boon, AJW, Schreurs, MWJ, Joubert, B, Honnorat, J, Vogrig, A, Ariño, H, Sabater, L, Dalmau, J, Scotton, S, Jacob, S, Melzer, N, Bien, CG, Geis, C, Lewerenz, J, Prüss, H, Wandinger, K-P, Deuschl, G, Leypoldt, F

“…We observed distinct movement disorders in CASPR2 autoimmunity (14.6%): episodic ataxia (6.7%), paroxysmal orthostatic segmental myoclonus of the legs (3.7%) and continuous segmental spinal myoclonus (4.3%). …”

PC-based software for thermal design of helixchanger heat exchangers by Fong, Lin Qiang

“…Shell-and-Tube Heat Exchangers with segmented baffles have proven to be versatile and efficient through years of industrial use. …”
Get full text

R-CNN minus R by Lenc, K, Vedaldi, A

“…However, the role of segmentation in CNN detectors remains controversial. …”

Toward achieving robust low-level and high-level scene parsing by Shuai, Bing, Ding, Henghui, Liu, Ting, Wang, Gang, Jiang, Xudong

“…In this paper, we address the challenging task of scene segmentation. We first discuss and compare two widely used approaches to retain detailed spatial information from pretrained CNN - "dilation" and "skip". …”
Get full text

Hybrid SLAM and object recognition on an embedded platform by Low, Timothy Zhi Hao

“…The SCALE semantic segmentation is used to perform semantic segmentation on the input provided by the ZED 2 camera. …”
Get full text

Association between a distinctive autoantibody-associated brainstem sensory syndrome and immune checkpoint inhibitors by Damato, V, Berretta, A, Ramanathan, S, Michael, S, Coupe, N, Payne, M, Irani, SR

“…This case series investigates the association of a segmental, facial, antibody-associated brainstem sensory syndrome with the immune checkpoint inhibitor pembrolizumab.…”

Weakly supervised learning on road area extraction via classification labels by Liu, Xuanyi

“…Then a gated fusion mechanism aggregates CAM and the segmentation branch’s pixel-level segmentation results to refine an output, supervised by some pseudo labels generated from road centerlines. …”
Get full text

Heart cycles using heart sounds by Ng, Jia Long

“…Hence, the first step is to implement and study a reliable method in finding heart sound segmentation. Then, further diagnostic technology can be researched using these segmentation data as it provides an exact location of the heart sound in each heart cycle. …”
Get full text

Meta-Learning Frameworks for Imaging Applications / by Sharma, Ashok, 1977-, editor 319639, Sengar, Sandeep Singh, 1985-, editor 656390, Singh, Parveen, 1976-, editor 656391, IGI Global Scientific Publishing (Online service) 655412

“…One critical topic in imaging is image segmentation, and the book explores how a meta-learning-based framework can help identify the best image segmentation algorithm, which would be particularly beneficial in the healthcare domain. …”
Get full text

Smooth object retrieval using a bag of boundaries by Arandjelović, R, Zisserman, A

“…The descriptors are tolerant to scale changes, segmentation failures, and limited viewpoint changes. …”

Semantic scene understanding on 3D point clouds by Dong, Shichao

“…Using regional purity can simultaneously prevent under-segmentation and over-segmentation problems during clustering. …”
Get full text

Image processing using neural network for auto-scoring system by Ruan, Zhendui.

“…Image processing comprises of image retrieval, segmentation and features extraction as well as classical statistical and modern classification techniques. …”
Get full text

Exposing digital image forgeries by detecting discrepancies in motion blur by Kakar, Pravin, Ser, Wee, Sudha, N.

“…Experimental results show that our technique provides good segmentation of regions with inconsistent motion blur. …”
Get full text
Get full text

Employee turnover : bad attitude or poor management? by Khadijah Abdul Rahman., Norfarhana Supaat., Norhayati Haron.

“…The variables for the turnover are segmented into three categories - controllable, uncontrollable and demographics.…”
Get full text

Automatic cardiac ventricular boundary detection by Cheng, Jierong

“…For long-axis echocardiographic images, a pre-segmentation algorithm is developed to locate the left ventricular (LV) region without user intervention. …”
Get full text

Unsupervised discovery of visual object class hierarchies by Sivic, J, Russell, BC, Zisserman, A, Freeman, WT, Efros, AA

“…Employing the multiple segmentation framework of Russell et al. [22], we show that meaningful object hierarchies, together with object segmentations, can be automatically learned from unlabeled and unsegmented image collections without supervision. …”

Extremely versatile deformability beyond materiality : a new material platform through simple cutting for rugged batteries by Kim, Kee-Bum, Lee, Young-Joo, Costa, Avelino, Lee, Yu-Ki, Jang, Tae-Sik, Lee, Myoung-Gyu, Joo, Young-Chang, Oh, Kyu Hwan, Song, Juha, Choi, In-Suk

“…The hierarchy and number of segmentations are the key parameters of the deformation mechanism for auxetic cut shape-reconfigurable battery systems. …”
Get full text

Elementwise overparameterisation for single and multi-task learning by Ribli, Vincent

“…In the field of autonomous vehicles, computer vision is used to solve multiple tasks such as semantic segmentation and object tracking. This can be challenging as the tasks need to be done at a high performance within a given latency threshold. …”
Get full text