Search Results - "Qureshi, Touseef Ahmad"
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Intracranial Vessel Wall Segmentation Using Convolutional Neural Networks
Published in IEEE transactions on biomedical engineering (01-10-2019)“…Objective: To develop an automated vessel wall segmentation method using convolutional neural networks to facilitate the quantification on magnetic resonance…”
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Journal Article -
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Predicting pancreatic ductal adenocarcinoma using artificial intelligence analysis of pre-diagnostic computed tomography images
Published in Cancer biomarkers : section A of Disease markers (01-01-2022)“…Early stage diagnosis of Pancreatic Ductal Adenocarcinoma (PDAC) is challenging due to the lack of specific diagnostic biomarkers. However, stratifying…”
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Journal Article -
3
An insight to PDAC tumor heterogeneity across pancreatic subregions using computed tomography images
Published in Frontiers in oncology (12-11-2024)“…Pancreatic Ductal Adenocarcinoma (PDAC) is an exceptionally deadly form of pancreatic cancer with an extremely low survival rate. From diagnosis to treatment,…”
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MRI/RNA-Seq-Based Radiogenomics and Artificial Intelligence for More Accurate Staging of Muscle-Invasive Bladder Cancer
Published in International journal of molecular sciences (20-12-2023)“…Accurate staging of bladder cancer assists in identifying optimal treatment (e.g., transurethral resection vs. radical cystectomy vs. bladder preservation)…”
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Risk prediction of pancreatic cancer using AI analysis of pancreatic subregions in computed tomography images
Published in Frontiers in oncology (09-11-2022)“…Early detection of Pancreatic Ductal Adenocarcinoma (PDAC) is complicated as PDAC remains asymptomatic until cancer advances to late stages when treatment is…”
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Segmentation of Pancreatic Subregions in Computed Tomography Images
Published in Journal of imaging (12-07-2022)“…The accurate segmentation of pancreatic subregions (head, body, and tail) in CT images provides an opportunity to examine the local morphological and textural…”
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Mo1135 RADIOLOGIC ANALYSIS FOR RISK STRATIFICATION OF HEPATOCELLULAR CARCINOMA IN PATIENTS WITH CIRRHOSIS
Published in Gastroenterology (New York, N.Y. 1943) (01-05-2023)Get full text
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LBA03-05 RADIOGENOMICS OF MUSCLE INVASIVE BLADDER CANCER
Published in The Journal of urology (01-04-2023)Get full text
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Artificial intelligence and imaging for risk prediction of pancreatic cancer: a narrative review
Published in Chinese Clinical Oncology (01-02-2022)“…To emphasize the importance of pancreatic imaging and the application of artificial intelligence (AI) for enhanced risk prediction of pancreatic ductal…”
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Deep learning in hepatocellular carcinoma: Current status and future perspectives
Published in World journal of hepatology (27-12-2021)“…Hepatocellular carcinoma (HCC) is among the leading causes of cancer incidence and death. Despite decades of research and development of new treatment options,…”
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Morphology-guided deep learning framework for segmentation of pancreas in computed tomography images
Published in Journal of medical imaging (Bellingham, Wash.) (01-03-2022)“…Purpose: Accurate segmentation of the pancreas using abdominal computed tomography (CT) scans is a prerequisite for a computer-aided diagnosis system to detect…”
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Artificial intelligence and imaging for risk prediction of pancreatic cancer
Published in Chinese clinical oncology (01-02-2022)Get full text
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Abstract A037: Predicting pancreatic cancer using artificial intelligence analysis of pancreatic subregions using computed tomography images
Published in Cancer research (Chicago, Ill.) (15-11-2022)“…Study background: Early detection of pancreatic ductal adenocarcinoma (PDAC) can elevate the current ~10% five-years survival rate of PDAC up to 50%. Accurate…”
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14
A manually-labeled, artery/vein classified benchmark for the DRIVE dataset
Published in Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems (01-06-2013)“…The classification of retinal vessels into arteries and veins is an important step for the analysis of retinal vascular trees, for which the scientists have…”
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Conference Proceeding -
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A Bayesian Framework for the Local Configuration of Retinal Junctions
Published in 2014 IEEE Conference on Computer Vision and Pattern Recognition (01-06-2014)“…Retinal images contain forests of mutually intersecting and overlapping venous and arterial vascular trees. The geometry of these trees shows adaptation to…”
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Conference Proceeding -
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A Probabilistic Model for the Optimal Configuration of Retinal Junctions Using Theoretically Proven Features
Published in 2014 22nd International Conference on Pattern Recognition (01-08-2014)“…This paper aims to reconstruct retinal vessel trees from the broken vessel segments in fund us images for clinical studies and early diagnosis of systemic…”
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Conference Proceeding -
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Extraction of arterial and venous trees from disconnected vessel segments in fundus images
Published 01-01-2016“…The accurate automated extraction of arterial and venous (AV) trees in fundus images subserves investigation into the correlation of global features of the…”
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Dissertation -
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Automatic localization of the optic disc in retinal fundus images using multiple features
Published in 2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE) (01-11-2012)“…Accurate optic disc localization is an essential step for a reliable retinal screening system. Existing methods for the optic disc localization may fail when…”
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Conference Proceeding