Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Saad Abbasi"'
Publikováno v:
Sensors, Vol 21, Iss 14, p 4805 (2021)
Human operators often diagnose industrial machinery via anomalous sounds. Given the new advances in the field of machine learning, automated acoustic anomaly detection can lead to reliable maintenance of machinery. However, deep learning-driven anoma
Externí odkaz:
https://doaj.org/article/12bb61dbc8934afa8267f4e6b5f8fe06
Publikováno v:
Sensors, Vol 20, Iss 4, p 1027 (2020)
Mechanical stages are routinely used to scan large expanses of biological specimens in photoacoustic imaging. This is primarily due to the limited field of view (FOV) provided by optical scanning. However, stage scanning becomes impractical at higher
Externí odkaz:
https://doaj.org/article/fcba5db5f34a4320a8c1cab3999a2b3f
Publikováno v:
Ophthalmic genetics. 43(5)
X-linked retinitis pigmentosa (XLRP) is a rare inherited retinal disease predominantly affecting males.A comprehensive literature review was conducted to determine the prevalence of retinitis pigmentosa GTPase regulatorThe prevalence of XLRP was esti
Neural Architecture Search (NAS) has enabled automatic discovery of more efficient neural network architectures, especially for mobile and embedded vision applications. Although recent research has proposed ways of quickly estimating latency on unsee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0cbbd44fc2cd0ea00d1cbf5309e68ecc
http://arxiv.org/abs/2204.12950
http://arxiv.org/abs/2204.12950
Autor:
John R. Mackey, Muba Taher, Parsin Haji Reza, Frank van Landeghem, Saad Abbasi, Deepak Dinakaran, Kevan Bell, Gilbert Bigras
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-13 (2020)
Scientific Reports
Scientific Reports
Histological visualizations are critical to clinical disease management and are fundamental to biological understanding. However, current approaches that rely on bright-field microscopy require extensive tissue preparation prior to imaging. These pro
Autor:
Benjamin R. Ecclestone, Parsin Haji Reza, Saad Abbasi, Deepak Dinakaran, Paul Fieguth, Frank van Landeghem, John R. Mackey, Kevan Bell
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-7 (2020)
Scientific Reports
Scientific Reports
Malignant brain tumors are among the deadliest neoplasms with the lowest survival rates of any cancer type. In considering surgical tumor resection, suboptimal extent of resection is linked to poor clinical outcomes and lower overall survival rates.
Autor:
Deepak Dinakaran, Benjamin R. Ecclestone, Saad Abbasi, John R. Mackey, Parsin Haji Reza, Gilbert Bigras, Kevan Bell
Publikováno v:
Quant Imaging Med Surg
Gastrointestinal (GI) tissue biopsies provide critical diagnostic information for a wide variety of conditions such as neoplastic diseases (colorectal, small bowel and stomach cancers) and non-neoplastic diseases (inflammatory disorders, infection, c
Autor:
Martin Le, Parsin Haji Reza, Saad Abbasi, Gilbert Bigras, Deepak Dinakaran, Bazil Sonier, John R. Mackey, Kevan Bell
Publikováno v:
Scientific Reports, Vol 9, Iss 1, Pp 1-11 (2019)
Scientific Reports
Scientific Reports
Surgical oncologists depend heavily on visual field acuity during cancer resection surgeries for in-situ margin assessment. Clinicians must wait up to two weeks for results from a pathology lab to confirm a post-operative diagnosis, potentially resul
Autor:
Naomi Terhljan, Hayden Gunraj, Saad Abbasi, Alexander Wong, Hossein Aboutalebi, Audrey G. Chuna, Maya Pavlova, Alexander MacLean, Andy Zhao, Siddharth Surana
Publikováno v:
CCECE
As the COVID-19 pandemic continues to devastate globally, one promising field of research is machine learning-driven computer vision to streamline various parts of the COVID-19 clinical workflow. These machine learning methods are typically stand-alo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1fc234decc7c7795c1c8056af2cf24a
http://arxiv.org/abs/2109.06421
http://arxiv.org/abs/2109.06421
Autor:
Saad Abbasi, John R. Mackey, Parsin Haji Reza, Deepak Dinakaran, Kevan Bell, Benjamin R. Ecclestone, Frank van Landeghem, Muba Taher
Publikováno v:
Label-free Biomedical Imaging and Sensing (LBIS) 2021.
Here we explore the use of Photoacoustic Remote Sensing (PARS™) microscopy, a recently developed non-contact photoacoustic imaging modality, for visualizing subcellular structures label-free in tissues. Operating in an all-optical reflection-mode a