Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Mehdi Astaraki"'
Publikováno v:
Advances in Radiation Oncology, Vol 7, Iss 5, Pp 100987- (2022)
Purpose: High-grade glioma (HGG) is a common form of malignant primary brain cancer with poor prognosis. The diffusive nature of HGGs implies that tumor cell invasion of normal tissue extends several centimeters away from the visible gross tumor volu
Externí odkaz:
https://doaj.org/article/6464ed45ab534117a71ad5ab6efb27ae
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
ObjectiveSurvival Rate Prediction (SRP) is a valuable tool to assist in the clinical diagnosis and treatment planning of lung cancer patients. In recent years, deep learning (DL) based methods have shown great potential in medical image processing in
Externí odkaz:
https://doaj.org/article/2c7b99e09c454c1d88feaa7d7251c920
Publikováno v:
Frontiers in Oncology, Vol 11 (2021)
ObjectivesBoth radiomics and deep learning methods have shown great promise in predicting lesion malignancy in various image-based oncology studies. However, it is still unclear which method to choose for a specific clinical problem given the access
Externí odkaz:
https://doaj.org/article/8c7d71d9ebd944a088cf148763e77b31
Autor:
Mehdi Astaraki, Mara Severgnini, Vittorino Milan, Anna Schiattarella, Francesca Ciriello, Mario de Denaro, Aulo Beorchia, Hossein Aslian
Publikováno v:
Physics and Imaging in Radiation Oncology, Vol 5, Iss , Pp 52-57 (2018)
Background and purpose: In radiation therapy, defining the precise borders of cancerous tissues and adjacent normal organs has a significant effect on the therapy outcome. Deformable models offer a unique and robust approach to medical image segmenta
Externí odkaz:
https://doaj.org/article/aff2a46222b542b3867c726d7ae2690a
Publikováno v:
Physica Medica. 83:146-153
Purpose Low-Dose Computed Tomography (LDCT) is the most common imaging modality for lung cancer diagnosis. The presence of nodules in the scans does not necessarily portend lung cancer, as there is an intricate relationship between nodule characteris
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ba97bb20f2299c8e3d686153af13f6a
https://doi.org/10.1016/j.ejmp.2021.03.013
https://doi.org/10.1016/j.ejmp.2021.03.013
Publikováno v:
Radiotherapy and Oncology. 161:S1520-S1522
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::652f3964088f9b13a212e38c7b6ac316
https://doi.org/10.1016/s0167-8140(21)08246-3
https://doi.org/10.1016/s0167-8140(21)08246-3
Publikováno v:
Physica Medica. 104:S121
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0675d93e1b02f381c93f8d8f90d99018
https://doi.org/10.1016/s1120-1797(22)02404-8
https://doi.org/10.1016/s1120-1797(22)02404-8
Publikováno v:
Physica Medica. 60:58-65
To explore prognostic and predictive values of a novel quantitative feature set describing intra-tumor heterogeneity in patients with lung cancer treated with concurrent and sequential chemoradiotherapy.Longitudinal PET-CT images of 30 patients with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb19c8ae56f4aacc0a243c479e5018c1
https://doi.org/10.1016/j.ejmp.2019.03.024
https://doi.org/10.1016/j.ejmp.2019.03.024
Publikováno v:
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries ISBN: 9783030466428
BrainLes@MICCAI (2)
BrainLes@MICCAI (2)
We propose a hybrid segmentation pipeline based on the autoencoders’ capability of anomaly detection. To this end, we, first, introduce a new augmentation technique to generate synthetic paired images. Gaining advantage from the paired images, we p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91a2e77043379adc855331466954768e
https://doi.org/10.1007/978-3-030-46643-5_31
https://doi.org/10.1007/978-3-030-46643-5_31
Publikováno v:
IEEE Transactions on Affective Computing. 9:102-115
This paper presents a comprehensive study on the analysis of neuromuscular signal activities to recognize 11 facial expressions for muscle computer interfacing applications. A robust denoising protocol comprised of Wavelet transform and Kalman filter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5d470c7ec538973bf4509865b739950
https://doi.org/10.1109/taffc.2016.2569098
https://doi.org/10.1109/taffc.2016.2569098