Search Results - "Hazle, John"

Past AAPM President: 2013 by Hazle, John D.

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The Skp2-SCF E3 Ligase Regulates Akt Ubiquitination, Glycolysis, Herceptin Sensitivity, and Tumorigenesis by Chan, Chia-Hsin, Li, Chien-Feng, Yang, Wei-Lei, Gao, Yuan, Lee, Szu-Wei, Feng, Zizhen, Huang, Hsuan-Ying, Tsai, Kelvin K.C., Flores, Leo G., Shao, Yiping, Hazle, John D., Yu, Dihua, Wei, Wenyi, Sarbassov, Dos, Hung, Mien-Chie, Nakayama, Keiichi I., Lin, Hui-Kuan

“…Akt kinase plays a central role in cell growth, metabolism, and tumorigenesis. The TRAF6 E3 ligase orchestrates IGF-1-mediated Akt ubiquitination and…”
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Copper Sulfide Nanoparticles As a New Class of Photoacoustic Contrast Agent for Deep Tissue Imaging at 1064 nm by Ku, Geng, Zhou, Min, Song, Shaoli, Huang, Qian, Hazle, John, Li, Chun

“…Photoacoustic tomography (PAT) is an emerging molecular imaging modality. Here, we demonstrate use of semiconductor copper sulfide nanoparticles (CuS NPs) for…”
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A radiomic‐ and dosiomic‐based machine learning regression model for pretreatment planning in 177 Lu‐DOTATATE therapy by Plachouris, Dimitris, Eleftheriadis, Vassilios, Nanos, Thomas, Papathanasiou, Nikolaos, Sarrut, David, Papadimitroulas, Panagiotis, Savvidis, Georgios, Vergnaud, Laure, Salvadori, Julien, Imperiale, Alessio, Visvikis, Dimitrios, Hazle, John D., Kagadis, George C.

“…BACKGROUNDStandardized patient-specific pretreatment dosimetry planning is mandatory in the modern era of nuclear molecular radiotherapy, which may eventually…”
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A Machine-Learning Algorithm Toward Color Analysis for Chronic Liver Disease Classification, Employing Ultrasound Shear Wave Elastography by Gatos, Ilias, Tsantis, Stavros, Spiliopoulos, Stavros, Karnabatidis, Dimitris, Theotokas, Ioannis, Zoumpoulis, Pavlos, Loupas, Thanasis, Hazle, John D, Kagadis, George C

“…Abstract The purpose of the present study was to employ a computer-aided diagnosis system that classifies chronic liver disease (CLD) using ultrasound shear…”
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Temporal stability assessment in shear wave elasticity images validated by deep learning neural network for chronic liver disease fibrosis stage assessment by Gatos, Ilias, Tsantis, Stavros, Spiliopoulos, Stavros, Karnabatidis, Dimitris, Theotokas, Ioannis, Zoumpoulis, Pavlos, Loupas, Thanasis, Hazle, John D., Kagadis, George C.

“…Purpose To automatically detect and isolate areas of low and high stiffness temporal stability in shear wave elastography (SWE) image sequences and define…”
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Artificial intelligence-assisted mapping of proliferation centers allows the distinction of accelerated phase from large cell transformation in chronic lymphocytic leukemia by El Hussein, Siba, Chen, Pingjun, Medeiros, L. Jeffrey, Hazle, John D., Wu, Jia, Khoury, Joseph D.

“…Chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL) is characterized morphologically by numerous small lymphocytes and pale nodules composed of…”
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Focal liver lesions segmentation and classification in nonenhanced T2‐weighted MRI by Gatos, Ilias, Tsantis, Stavros, Karamesini, Maria, Spiliopoulos, Stavros, Karnabatidis, Dimitris, Hazle, John D., Kagadis, George C.

“…Purpose To automatically segment and classify focal liver lesions (FLLs) on nonenhanced T2‐weighted magnetic resonance imaging (MRI) scans using a…”
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Deep learning networks on chronic liver disease assessment with fine-tuning of shear wave elastography image sequences by Kagadis, George C, Drazinos, Petros, Gatos, Ilias, Tsantis, Stavros, Papadimitroulas, Panagiotis, Spiliopoulos, Stavros, Karnabatidis, Dimitris, Theotokas, Ioannis, Zoumpoulis, Pavlos, Hazle, John D

“…Chronic liver disease (CLD) is currently one of the major causes of death worldwide. If not treated, it may lead to cirrhosis, hepatic carcinoma and death…”
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An improved region growing algorithm for phase correction in MRI by Ma, Jingfei, Son, Jong Bum, Hazle, John D.

“…Purpose To develop an improved region‐growing algorithm for phase correction in MRI. Methods Phase correction in MRI can sometimes be formulated as selecting a…”
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Robust phase unwrapping for MR temperature imaging using a magnitude-sorted list, multi-clustering algorithm by Maier, Florian, Fuentes, David, Weinberg, Jeffrey S., Hazle, John D., Stafford, R. Jason

“…Purpose Several methods in MRI use the phase information of the complex signal and require phase unwrapping (e.g., B0 field mapping, chemical shift imaging,…”
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A machine learning model to predict hepatocellular carcinoma response to transcatheter arterial chemoembolization by Morshid, Ali, Elsayes, Khaled M, Khalaf, Ahmed M, Elmohr, Mohab M, Yu, Justin, Kaseb, Ahmed O, Hassan, Manal, Mahvash, Armeen, Wang, Zhihui, Hazle, John D, Fuentes, David

“…Some patients with hepatocellular carcinoma (HCC) are more likely to experience disease progression despite transcatheter arterial chemoembolization (TACE)…”
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A new automated quantification algorithm for the detection and evaluation of focal liver lesions with contrast‐enhanced ultrasound by Gatos, Ilias, Tsantis, Stavros, Spiliopoulos, Stavros, Skouroliakou, Aikaterini, Theotokas, Ioannis, Zoumpoulis, Pavlos, Hazle, John D., Kagadis, George C.

“…Purpose: Detect and classify focal liver lesions (FLLs) from contrast‐enhanced ultrasound (CEUS) imaging by means of an automated quantification algorithm…”
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Machine learning-based texture analysis for differentiation of radiologically indeterminate small adrenal tumors on adrenal protocol CT scans by Moawad, Ahmed W., Ahmed, Ayahallah, Fuentes, David T., Hazle, John D., Habra, Mouhammed A., Elsayes, Khaled M.

“…Goal To evaluate the ability of radiomic feature extraction and a machine learning algorithm to differentiate between benign and malignant indeterminate…”
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Theoretical model for laser ablation outcome predictions in brain: calibration and validation on clinical MR thermometry images by Fahrenholtz, Samuel John, Madankan, Reza, Danish, Shabbar, Hazle, John D, Stafford, R Jason, Fuentes, David

“…Neurosurgical laser ablation is experiencing a renaissance. Computational tools for ablation planning aim to further improve the intervention. Here, global…”
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One-Pot, One-Step Synthesis of Drug-Loaded Magnetic Multimicelle Aggregates by Kim, Chang Soo, Nevozhay, Dmitry, Aburto, Rebeca Romero, Pehere, Ashok, Pang, Lan, Dillard, Rebecca, Wang, Ziqiu, Smith, Clayton, Mathieu, Kelsey Boitnott, Zhang, Marie, Hazle, John D., Bast, Robert C., Sokolov, Konstantin

“…Lipid-based formulations provide a nanotechnology platform that is widely used in a variety of biomedical applications because it has several advantageous…”
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A model combining pretreatment MRI radiomic features and tumor-infiltrating lymphocytes to predict response to neoadjuvant systemic therapy in triple-negative breast cancer by Jimenez, Jorge E., Abdelhafez, Abeer, Mittendorf, Elizabeth A., Elshafeey, Nabil, Yung, Joshua P., Litton, Jennifer K., Adrada, Beatriz E., Candelaria, Rosalind P., White, Jason, Thompson, Alastair M., Huo, Lei, Wei, Peng, Tripathy, Debu, Valero, Vicente, Yam, Clinton, Hazle, John D., Moulder, Stacy L., Yang, Wei T., Rauch, Gaiane M.

“…•Pretreatment MRI radiomic features can predict treatment response in breast cancer.•Combined MRI radiomic and TIL model improves accuracy of response…”
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Guiding the first biopsy in glioma patients using estimated Ki-67 maps derived from MRI: conventional versus advanced imaging by Gates, Evan D H, Lin, Jonathan S, Weinberg, Jeffrey S, Hamilton, Jackson, Prabhu, Sujit S, Hazle, John D, Fuller, Gregory N, Baladandayuthapani, Veera, Fuentes, David, Schellingerhout, Dawid

“…Abstract Background Undersampling of gliomas at first biopsy is a major clinical problem, as accurate grading determines all subsequent treatment. We submit a…”
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Role of Wnt/β-catenin signaling in hepatocellular carcinoma, pathogenesis, and clinical significance by Khalaf, Ahmed M, Fuentes, David, Morshid, Ali I, Burke, Mata R, Kaseb, Ahmed O, Hassan, Manal, Hazle, John D, Elsayes, Khaled M

“…Hepatocellular carcinoma (HCC) is one of the most common primary hepatic malignancies and one of the fastest-growing causes of cancer-related mortality in the…”
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Institutional Strategies to Maintain and Grow Imaging Research During the COVID-19 Pandemic by Ho, Mai-Lan, Arnold, Corey W., Decker, Summer J., Hazle, John D., Krupinski, Elizabeth A., Mankoff, David A.

“…Understanding imaging research experiences, challenges, and strategies for academic radiology departments during and after COVID-19 is critical to prepare for…”
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