RiuNet UPV Home
:
Browsing by Author

Search RiuNet

Browse

All of RiuNet

My Account

RiuNet Help

Admin. UPV

Browsing by Author "Manjón Herrera, José Vicente"

Now showing items 1-20 of 51

A CANDLE for a deeper in-vivo insight

Coupé, Pierrick; Munz, Martin; Manjón Herrera, José Vicente; Ruthazer, Edward S.; Collins, D. Louis (Elsevier, 2012-05)

A new Collaborative Approach for eNhanced Denoising under Low-light Excitation (CANDLE) is introduced for the processing of 3D laser scanning multiphoton microscopy images. CANDLE is designed to be robust for low signal-to-noise ...
Adaptive fusion of texture-based grading for Alzheimer's disease classification

Hett, Kilian; Ta, Vinh-Thong; Manjón Herrera, José Vicente; Coupe, Pierrick (Elsevier, 2018)

[EN] Alzheimer's disease is a neurodegenerative process leading to irreversible mental dysfunctions. To date, diagnosis is established after incurable brain structure alterations. The development of new biomarkers is crucial ...
Adaptive multiresolution non-local means filter for 3D magnetic resonance image denoising

Coupé ., Pierrick; Manjón Herrera, José Vicente; Robles Viejo, Monserrat; Collins ., Louis (Institution of Engineering and Technology (IET), 2012-07)

In this study, an adaptive multiresolution version of the blockwise non-local (NL)-means filter is presented for three-dimensional (3D) magnetic resonance (MR) images. On the basis of an adaptive soft wavelet coefficient ...
An Optimized PatchMatch for multi-scale and multi-feature label fusion

Giraud, Rémi; Ta, Vinh-Thong; Papadakis, Nicolas; Manjón Herrera, José Vicente; Collins, Louis; Coupé Pierrick; Alzheimers Dis Neuroimaging Initia (Elsevier, 2016-01-01)

Automatic segmentation methods are important tools for quantitative analysis of Magnetic Resonance Images (MRI). Recently, patch-based label fusion approaches have demonstrated state-of-the-art segmentation accuracy. In ...
Análisis basado en vóxel de datos de tractografía para mejorar la agrupación de fibras

Bastardés Climent, Blanca (Universitat Politècnica de València, 2020-05-12)

[ES] Muchas patologías neurodegenerativas del cerebro están estrechamente relacionadas con la degeneración de la materia blanca, lo que desarrolla alteraciones en la difusión de agua en el tejido. Por este motivo, es ...
Antipsychotic and benzodiazepine use and brain morphology in schizophrenia and affective psychoses - Systematic reviews and birth cohort study

Huhtaniska, Sanna; korkala, Likka; Heikka, Tuomas; Björnholm, Lassi; Lehtiniemi, Heli; Hulkko, Anja P.; Moilanen, Jani S.; Tohka, Jussi; Manjón Herrera, José Vicente; Coupé, Pierrick; Kiviniemi, Vesa; Isohanni, Matti; Koponen, Hannu; Murray, Graham K.; Miettunen, Jouko (Elsevier, 2018)

[EN] The aim of this paper was to investigate differences in brain structure volumes between schizophrenia and affective psychoses, and whether cumulative lifetime antipsychotic or benzodiazepine doses relate to brain ...
Aplicación móvil para la gestión de pacientes con Mieloma Múltiple

Fenollar Onrubia, Daniel (Universitat Politècnica de València, 2019-10-14)

[ES] El sistema NuMielo ha sido ideado en colaboración con la Unidad de Investigación Clínica Servicio de Hematología del Hospital Universitario y Politécnico La Fe, cuyo objetivo es llevar un control de los pacientes ...
AssemblyNet: A large ensemble of CNNs for 3D whole brain MRI segmentation

Coupé, Pierrick; Mansencal, Boris; Clement, Michael; Giraud, Rémi; Denis de Senneville, Baudouin; Ta, Vinh-Thong; Lepetit, Vincent; Manjón Herrera, José Vicente (Elsevier, 2020-10-01)

[EN] Whole brain segmentation of fine-grained structures using deep learning (DL) is a very challenging task since the number of anatomical labels is very high compared to the number of available training images. To address ...
Automated Glioblastoma Segmentation Based on a Multiparametric Structured Unsupervised Classification

Juan Albarracín, Javier; Fuster García, Elíes; Manjón Herrera, José Vicente; Robles Viejo, Montserrat; Aparici, F.; Marti-Bonmati, L.; García Gómez, Juan Miguel (Public Library of Science, 2015-05-15)

Automatic brain tumour segmentation has become a key component for the future of brain tumour treatment. Currently, most of brain tumour segmentation approaches arise from the supervised learning standpoint, which requires ...
Automated segmentation of medial temporal lobe subregions on in vivo T1-weighted MRI in early stages of Alzheimer's disease

Xie, Long; Wisse, Laura E. M.; Pluta, John; de Flores, Robin; Piskin, Virgine; Manjón Herrera, José Vicente; Wang, Hongzhi; Das, Sandhitsu R.; Ding, Song-Lin; Wolk, David A.; Yushkevich, Paul A. (John Wiley & Sons, 2019-08-15)

[EN] Medial temporal lobe (MTL) substructures are the earliest regions affected by neurofibrillary tangle pathology-and thus are promising biomarkers for Alzheimer's disease (AD). However, automatic segmentation of the MTL ...
Automatic thalamus and hippocampus segmentation from MP2RAGE: comparison of publicly available methods and implications for DTI quantification

Naess-Schmidt, Erhard; Tietze, Anna; Blicher, Jakob Udby; Petersen, Mikkel; Mikkelsen, Irene K.; Coupe, Pierrick; Manjón Herrera, José Vicente; Eskildsen, Simon Fristed (Springer Verlag (Germany), 2016-11)

Purpose In both structural and functional MRI, there is a need for accurate and reliable automatic segmentation of brain regions. Inconsistent segmentation reduces sensitivity and may bias results in clinical studies. ...
BEaST: Brain extraction based on nonlocal segmentation technique

Eskildsen, Simon F.; Coupé, Pierrick; Fonov, Vladimir; Manjón Herrera, José Vicente; Leung, Kelvin K.; Guizard, Nicolas; Wassef, Shafik N.; Østergaard, Lasse Riis; Collins, D. Louis; Alzheimer's Dis Neuroimaging (Elsevier, 2012-02-01)

Brain extraction is an important step in the analysis of brain images. The variability in brain morphology and the difference in intensity characteristics due to imaging sequences make the development of a general purpose ...
CERES: A new cerebellum lobule segmentation method

Romero Gómez, José Enrique; Coupe, Pierrick; Giraud, Remi; Ta, Vinh-Thong; Fonov, Vladimir; Park, Min Tae M; Chalcravarty, M. Mallar; Voineskos, Aristotle N.; Manjón Herrera, José Vicente (Elsevier, 2017)

[EN] The human cerebellum is involved in language, motor tasks and cognitive processes such as attention or emotional processing. Therefore, an automatic and accurate segmentation method is highly desirable to measure and ...
Collaborative patch-based super-resolution for diffusion-weighted images

Coupé, Pierrick; Manjón Herrera, José Vicente; Chamberland, Maxime; Descoteaux, Maxime; Hiba, Bassem (Elsevier, 2013-12)

In this paper, a new single image acquisition super-resolution method is proposed to increase image resolution of diffusion weighted (DW) images. Based on a nonlocal patch-based strategy, the proposed method uses ...
Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images

Carass, Aaron; Cuzzocreo, Jennifer L.; Han, Shuo; Hernandez-Castillo, Carlos R.; Rasser, Paul E.; Ganz, Melanie; Beliveau, Vincent; Dolz, Jose; Ben Ayed, Ismail; Desrosiers, Christian; Thyreau, Benjamin; Romero Gómez, José Enrique; Coupe, Pierrick; Manjón Herrera, José Vicente; Fonov, Vladimir (Elsevier, 2018-12)

[EN] The human cerebellum plays an essential role in motor control, is involved in cognitive function (i.e., attention, working memory, and language), and helps to regulate emotional responses. Quantitative in-vivo assessment ...
Desarrollo de algoritmo rápido de esqueletonización de estructuras óseas en 3D a partir de imágenes médicas

Mompeán Escartí, María Isabel (Universitat Politècnica de València, 2012-09-07)

La esqueletonización pretende obtener de un objeto, un patrón continúo que lo represente con la menor cantidad de datos posibles. Con el fin de llevar a cabo dicho proceso existen diferentes métodos. Todos ellos tienen por ...
Desarrollo de un algoritmo para la estimación del volumen de grandes hernias

Crespo Penadés, Vicente (Universitat Politècnica de València, 2012-10-02)

La cavidad abdominal está cubierta por una capa de músculos que mantiene los órganos en su lugar correspondiente. No obstante, se puede producir una hernia si se debilita algún segmento de dicha pared, llegando a romperse ...
Desarrollo de un método de control de calidad de imágenes de RMN cerebral usando Deep learning

Kohan, Alejandro Adolfo (Universitat Politècnica de València, 2019-07-29)

[ES] En medicina, se utilizan imágenes Resonancia Magnética Nuclear para obtener información volumétrica de las distintas partes del cuerpo humano. Para obtener esta información se han desarrollado sistemas informáticos ...
Desarrollo de un método detección de lesiones en sustancia blanca cerebral

Saborit Torres, José Manuel (Universitat Politècnica de València, 2017-01-05)

[ES] La detección de lesiones en la sustancia blanca cerebral en imágenes de resonancia magnética (RM) es una tarea tediosa que a menudo se realiza de forma manual. Esto supone un problema dado que la gran carga de trabajo ...
Desarrollo de un servicio web para la medida automática del volumen cerebral a partir de imágenes RMN

Carrascosa Beltrán, Elena (Universitat Politècnica de València, 2011-10-03)