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Comparison of deep learning schemes in grading non-alcoholic fatty liver disease using B-mode ultrasound hepatorenal window images with liver biopsy as the gold standard Drazinos, Petros; Gatos, Ilias; Katsakiori, Paraskevi F.; Tsantis, Stavros; Syrmas, Efstratios; Spiliopoulos, Stavros; Karnabatidis, Dimitris; Theotokas, Ioannis; Zoumpoulis, Pavlos; Hazle, John D.; Kagadis, George C. 分享 收藏
Synthetic PET from CT improves diagnosis and prognosis for lung cancer: Proof of concept CT合成PET改善肺癌的诊断和预后: 概念验证 Salehjahromi, Morteza; Karpinets, Tatiana, V; Sujit, Sheeba J.; Qayati, Mohamed; Chen, Pingjun; Aminu, Muhammad; Saad, Maliazurina B.; Bandyopadhyay, Rukhmini; Hong, Lingzhi; Sheshadri, Ajay; Lin, Julie; Antonoff, Mara B.; Sepesi, Boris; Ostrin, Edwin J.; Toumazis, Iakovos; Huang, Peng; Cheng, Chao; Cascone, Tina; Vokes, Natalie I.; Behrens, Carmen; Siewerdsen, Jeffrey H.; Hazle, John D.; Chang, Joe Y.; Zhang, Jianhua; Lu, Yang; Godoy, Myrna C. B.; Chung, Caroline; Jaffray, David; Wistuba, Ignacio; Lee, J. Jack; Vaporciyan, Ara A.; Gibbons, Don L.; Gladish, Gregory; Heymach, John, V; Wu, Carol C.; Zhang, Jianjun; Wu, Jia 分享 收藏
A radiomic- and dosiomic-based machine learning regression model for pretreatment planning in 177Lu-DOTATATE therapy 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. 分享 收藏
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Predicting benefit from immune checkpoint inhibitors in patients with non-small-cell lung cancer by CT-based ensemble deep learning: a retrospective study Saad, Maliazurina B.; Hong, Lingzhi; Aminu, Muhammad; Vokes, Natalie, I; Chen, Pingjun; Salehjahromi, Morteza; Qin, Kang; Sujit, Sheeba J.; Lu, Xuetao; Young, Elliana; Al-Tashi, Qasem; Qureshi, Rizwan; Wu, Carol C.; Carter, Brett W.; Lin, Steven H.; Lee, Percy P.; Gandhi, Saumil; Chang, Joe Y.; Li, Ruijiang; Gensheimer, Michael F.; Wakelee, Heather A.; Neal, Joel W.; Lee, Hyun-Sung; Cheng, Chao; Velcheti, Vamsidhar; Lou, Yanyan; Petranovic, Milena; Rinsurongkawong, Waree; Le, Xiuning; Rinsurongkawong, Vadeerat; Spelman, Amy; Elamin, Yasir Y.; Negrao, Marcelo, V; Skoulidis, Ferdinandos; Gay, Carl M.; Cascone, Tina; Antonoff, Mara B.; Sepesi, Boris; Lewis, Jeff; Wistuba, Ignacio I.; Hazle, John D.; Chung, Caroline; Jaffray, David; Gibbons, Don L.; Vaporciyan, Ara; Lee, J. Jack; Heymach, John, V; Zhang, Jianjun; Wu, Jia 分享 收藏
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One-Pot, One-Step Synthesis of Drug-Loaded Magnetic Multimicelle Aggregates 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., Jr.; Sokolov, Konstantin 分享 收藏
A model combining pretreatment MRI radiomic features and tumor-infiltrating lymphocytes to predict response to neoadjuvant systemic therapy in triple-negative breast cancer 结合治疗前MRI影像特征和肿瘤浸润淋巴细胞预测三阴性乳腺癌对新辅助系统治疗反应的模型 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. 分享 收藏
A deep-learning-based prediction model for the biodistribution of 90Y microspheres in liver radioembolization Plachouris, Dimitris; Tzolas, Ioannis; Gatos, Ilias; Papadimitroulas, Panagiotis; Spyridonidis, Trifon; Apostolopoulos, Dimitris; Papathanasiou, Nikolaos; Visvikis, Dimitris; Plachouri, Kerasia-Maria; Hazle, John D.; Kagadis, George C. 分享 收藏
Findings of the AAPM Ad Hoc committee on magnetic resonance imaging in radiation therapy: Unmet needs, opportunities, and recommendations AAPM放射治疗磁共振成像特设委员会的发现: 未满足的需求，机会和建议 McGee, Kiaran P.; Tyagi, Neelam; Bayouth, John E.; Cao, Minsong; Fallone, B. Gino; Glide-Hurst, Carri K.; Goerner, Frank L.; Green, Olga L.; Kim, Taeho; Paulson, Eric S.; Yanasak, Nathan E.; Jackson, Edward F.; Goodwin, James H.; Dieterich, Sonja; Jordan, David W.; Hugo, Geoffrey D.; Bernstein, Matt A.; Balter, James M.; Kanal, Kalpana M.; Hazle, John D.; Pelc, Norbert J. 分享 收藏
The Calcium Versus Hemorrhage Trial Developing Diagnostic Criteria for Chronic Intracranial Susceptibility Lesions Using Single-Energy Computed Tomography, Dual-Energy Computed Tomography, and Quantitative Susceptibility Mapping 钙与出血试验使用单能量计算机断层扫描，双能计算机断层扫描和定量磁敏感图开发慢性颅内易感性病变的诊断标准 Schellingerhout, Dawid; Jacobsen, Megan; Le Roux, Lucia; Johnson, Jason; Baladandayuthapani, Veera; Hwang, Ken-Ping; Hazle, John; Schomer, Donald; Cody, Dianna 分享 收藏
Estimating Local Cellular Density in Glioma Using MR Imaging Data Gates, E. D. H.; Weinberg, J. S.; Prabhu, S. S.; Lin, J. S.; Hamilton, J.; Hazle, J. D.; Fuller, G. N.; Baladandayuthapani, V.; Fuentes, D. T.; Schellingerhout, D. 分享 收藏
Deep learning networks on chronic liver disease assessment with fine-tuning of shear wave elastography image sequences Kagadis, George C.; Drazinos, Petros; Gatos, Ilias; Tsantis, Stavros; Papadimitroulas, Panagiotis; Spiliopoulos, Stavros; Karnabatidis, Dimitris; Theotokas, Ioannis; Zoumpoulis, Pavlos; Hazle, John D. 分享 收藏
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Imaging-Based Algorithm for the Local Grading of Glioma Gates, E. D. H.; Lin, J. S.; Weinberg, J. S.; Prabhu, S. S.; Hamilton, J.; Hazle, J. D.; Fuller, G. N.; Baladandayuthapani, V.; Fuentes, D. T.; Schellingerhout, D. 分享 收藏
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