Radiomics: the process and the challenges

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Items 601–700 of 1,000

1. Noncontrast Radiomics Approach for Predicting Grades of Nonfunctional Pancreatic Neuroendocrine Tumors
   Yun Bian, Zengrui Zhao, Hui Jiang, Xu Fang, Jing Li, Kai Cao, Chao Ma, Shiwei Guo, Li Wang, Gang Jin et al. · 2020 · Journal of Magnetic Resonance Imaging
2. Evaluation of conventional and deep learning based image harmonization methods in radiomics studies
   Florent Tixier, V Jaouen, Clément Hognon, Olivier Gallinato, Thierry Colin, Dimitris Visvikis · 2021 · Physics in Medicine and Biology
3. Artificial intelligence in the radiomic analysis of glioblastomas: A review, taxonomy, and perspective
   Ming Zhu, Sijia Li, Yu Kuang, Virginia B. Hill, Amy B. Heimberger, Lijie Zhai, Shengjie Zhai · 2022 · Frontiers in Oncology
4. Predicting pathological complete response of neoadjuvant radiotherapy and targeted therapy for soft tissue sarcoma by whole-tumor texture analysis of multisequence MRI imaging
   Lei Miao, Ying Cao, Lijing Zuo, HongTu Zhang, Changyuan Guo, ZhaoYang Yang, Zhuo Shi, Jiuming Jiang, Shulian Wang, Ye‐Xiong Li et al. · 2022 · European Radiology
5. Machine Learning-Based Radiomics Nomogram for Detecting Extramural Venous Invasion in Rectal Cancer
   Si-Ye Liu, Xiao-Ping Yu, Songhua Yang, Pingsheng Hu, Ying Hu, Xiaoyan Chen, Yilin Li, Zhe Zhang, Cheng Li, Qiang Lu · 2021 · Frontiers in Oncology
6. Expanding Role of Advanced Image Analysis in CT-detected Indeterminate Pulmonary Nodules and Early Lung Cancer Characterization
   Ashley Elizabeth Prosper, Michael Nolan Kammer, Fabien Maldonado, Denise R. Aberle, William W.Y. Hsu · 2023 · Radiology
7. Exploring deep features from brain tumor magnetic resonance images via transfer learning
   Renhao Liu, Lawrence Hall, Dmitry B. Goldgof, Mu Zhou, Robert A. Gatenby, Kaoutar Ben Ahmed · 2016 · International Joint Conference on Neural Networks (IJCNN)
8. Radial gradient and radial deviation radiomic features from pre-surgical CT scans are associated with survival among lung adenocarcinoma patients
   Ilke Tunali, Olya Stringfield, Albert Güveniş, Hua Wang, Ying Liu, Yoganand Balagurunathan, Philippe Lambin, Robert J. Gillies, Matthew B. Schabath · 2017 · Oncotarget
9. Personalizing Medicine Through Hybrid Imaging and Medical Big Data Analysis
   László Papp, Clemens P. Spielvogel, Ivo Rausch, Marcus Hacker, Thomas Beyer · 2018 · Frontiers in Physics
10. Delta radiomic features improve prediction for lung cancer incidence: A nested case–control analysis of the National Lung Screening Trial
    Dmitry Cherezov, Samuel H. Hawkins, Dmitry B. Goldgof, Lawrence Hall, Ying Liu, Qian Li, Yoganand Balagurunathan, Robert J. Gillies, Matthew B. Schabath · 2018 · Cancer Medicine
11. Interchangeability of radiomic features between [18F]‐ FDG PET / CT and [18F]‐ FDG PET / MR
    Diem Vuong, Stephanie Tanadini‐Lang, Martin William Huellner, Patrick Veit‐Haibach, Jan Unkelbach, Nicolaus H. Andratschke, Johannes Kraft, Matthias Gückenberger, Marta Bogowicz · 2019 · Medical Physics
12. Synergizing medical imaging and radiotherapy with deep learning
    Hongming Shan, Xun Jia, Pingkun Yan, Yunyao Li, Harald Paganetti, Ge Wang · 2020 · Machine Learning Science and Technology
13. Machine Learning and Radiomics Applications in Esophageal Cancers Using Non-Invasive Imaging Methods—A Critical Review of Literature
    Chenyi Xie, Chun Lap Pang, Benjamin Chan, Emily Yuen-Yuen Wong, Qi Dou, Varut Vardhanabhuti · 2021 · Cancers
14. Radiomics in hepatocellular carcinoma: A state-of-the-art review
    Shan Yao, Zheng Ye, Yi Wei, Hanyu Jiang, Bin Song · 2021 · World Journal of Gastrointestinal Oncology
15. Technical Challenges in the Clinical Application of Radiomics
    Faiq Shaikh, Brian J. Kolowitz, Omer Abdul Rehman Awan, Hugo J.W.L. Aerts, Anna von Reden, Safwan S. Halabi, Sohaib A Mohiuddin, Sana Malik, Rasu B. Shrestha, Christopher R. Deible · 2017 · JCO Clinical Cancer Informatics
16. Prognostic role of radiomics‐based body composition analysis for the 1‐year survival for hepatocellular carcinoma patients
    Sylvia Saalfeld, Robert Kreher, Georg Hille, Uli Niemann, Mattes Simon Hinnerichs, Osman Öcal, Kerstin Schütte, Christoph Johannes Zech, Christian Loewe, Otto M. van Delden et al. · 2023 · Journal of Cachexia Sarcopenia and Muscle
17. Brain MR Radiomics to Differentiate Cognitive Disorders
    Sara Ranjbar, Stefanie N. Velgos, Amylou Constance Dueck, Yonas E. Geda, Joseph Ross Mitchell, The Alzheimer's Disease Neuroimaging Initiative · 2019 · Journal of Neuropsychiatry
18. Radiomic signature: A novel magnetic resonance imaging-based prognostic biomarker in patients with skull base chordoma
    Wei Wei, Ke Wang, Zhenyu Liu, Kaibing Tian, Liang Wang, Jiang Du, Junpeng Ma, Shuo Wang, Longfei Li, Rui Zhao et al. · 2019 · Radiotherapy and Oncology
19. Radiogenomics of lung cancer
    Chi Wah Wong, Ammar Ahmed Chaudhry · 2020 · Journal of Thoracic Disease
20. MRI Radiomics for Prediction of Tumor Response and Downstaging in Rectal Cancer Patients after Preoperative Chemoradiation
    Haihui Chen, Liting Shi, K.N.B. Nguyen, Arta Monir Monjazeb, Karen E. Matsukuma, Thomas W. Loehfelm, Haixin Huang, Jianfeng Qiu, Yi Rong · 2020 · Advances in Radiation Oncology
21. The application of texture quantification in hepatocellular carcinoma using CT and MRI: a review of perspectives and challenges
    Ismail Bilal Masokano, Wenguang Liu, Simin Xie, Dama Faniriantsoa Henrio Marcellin, Yigang Pei, Wenzheng Li · 2020 · Cancer Imaging
22. Impact of CT convolution kernel on robustness of radiomic features for different lung diseases and tissue types
    S. Denzler, Diem Vuong, Marta Bogowicz, Matea Pavic, Thomas Frauenfelder, Sandra Thierstein, Eric Innocents Eboulet, Britta Maurer, Janine Gote-Schniering, Hubert Szymon Gabryś et al. · 2021 · British Journal of Radiology
23. Radiomics Models Based on Apparent Diffusion Coefficient Maps for the Prediction of High‐Grade Prostate Cancer at Radical Prostatectomy: Comparison With Preoperative Biopsy
    Chao Han, Shuai Ma, Xiang Liu, Yi Liu, Changxin Li, Yaofeng Zhang, Xiaodong Zhang, Xiaoying Wang · 2021 · Journal of Magnetic Resonance Imaging
24. Handcrafted MRI radiomics and machine learning: Classification of indeterminate solid adrenal lesions
    Arnaldo Stanzione, Renato Cuocolo, Francesco Verde, Roberta Galatola, Valeria Romeo, Pier Paolo Mainenti, Giovanni Aprea, Elia Guadagno, Marialaura Del Basso De, Simone Maurea · 2021 · Magnetic Resonance Imaging
25. Accurate and Feasible Deep Learning Based Semi-Automatic Segmentation in CT for Radiomics Analysis in Pancreatic Neuroendocrine Neoplasms
    Huang, Bingsheng, Lin, Xiaoyi, Shen, Jingxian, Chen, Xin, Chen, Jia, Li, Zi-Ping, Wang, Mingyu, Yuan, Chenglang, Diao, Xian-Fen, Luo, Yanji et al. · 2021 · IEEE Journal of Biomedical and Health Informatics
26. Radiomics analysis on CT images for prediction of radiation-induced kidney damage by machine learning models
    Sepideh Amiri, Mina Akbarabadi, Fatemeh Abdolali, Alireza Nikoofar, Azam Janati Esfahani, Susan Cheraghi · 2021 · Computers in Biology and Medicine
27. Predictive Factors for Hypertrophy of the Future Liver Remnant After Portal Vein Embolization: A Systematic Review
    Ezgi A Soykan, B. M. Aarts, Marta López‐Yurda, Koert F.D. Kuhlmann, Joris I. Erdmann, N.F.M. Kok, Krijn P. van Lienden, Erica A. Wilthagen, Regina G. H. Beets‐Tan, Otto M. van Delden et al. · 2021 · CardioVascular and Interventional Radiology
28. Quantitative Radiomics Features in Diffuse Large B-Cell Lymphoma: Does Segmentation Method Matter?
    Jakoba Johanna Eertink, Elisabeth A. G. Pfaehler, Sanne E. Wiegers, T. Oorschot van, de Brug, Pieternella Johanna Lugtenburg, Otto S. Hoekstra, Josée M. Zijlstra, Henrica C. W. de Vet, Ronald Boellaard · 2021 · Journal of Nuclear Medicine
29. MRI‐based radiomics analysis for predicting the EGFR mutation based on thoracic spinal metastases in lung adenocarcinoma patients
    Meihong Ren, Huazhe Yang, Qingyuan Lai, Dabao Shi, Guanyu Liu, Xue Shuang, Juan Su, Liping Xie, Yue Dong, Xiran Jiang · 2021 · Medical Physics
30. Diffusion Breast MRI: Current Standard and Emerging Techniques
    Ashley M. Mendez, Lauren K. Fang, Claire H. Meriwether, Summer Joyce Batasin, Stéphane Loubrie, Ana E. Rodríguez‐Soto, Rebecca Rakow‐Penner · 2022 · Frontiers in Oncology
31. Correction to: Machine learning based on clinico-biological features integrated 18F-FDG PET/CT radiomics for distinguishing squamous cell carcinoma from adenocarcinoma of lung
    Caiyue Ren, Jianping Zhang, Ming Qi, Jiangang Zhang, Yingjian Zhang, Shaoli Song, Yun Sun, Jingyi Cheng · 2021 · European Journal of Nuclear Medicine and Molecular Imaging
32. A clinical–radiomics model based on noncontrast computed tomography to predict hemorrhagic transformation after stroke by machine learning: a multicenter study
    Huanhuan Ren, Haojie Song, Jingjie Wang, Hua Xiong, Bangyuan Long, Meilin Gong, Jiayang Liu, Zhanping He, Li Liu, Xili Jiang et al. · 2023 · Insights into Imaging
33. Diagnostic performance of MRI radiomics for classification of Alzheimer's disease, mild cognitive impairment, and normal subjects: a systematic review and meta-analysis
    Ramin Shahidi, Mansoureh Baradaran, Ali Asgarzadeh, Sara Bagherieh, Zohreh Tajabadi, Akram Farhadi, Setayesh Sotoudehnia Korani, Mohammad Khalafi, Parnian Shobeiri, Hamidreza Sadeghsalehi et al. · 2023 · Aging Clinical and Experimental Research
34. Current advances in pulmonary functional imaging
    Hidetoshi Nakamura, Toyohiro Hirai, Hájíme Kurosawa, Kazuki Hamada, Kazuto Matsunaga, Kaoruko Shimizu, Satoshi Konno, Shigeo Muro, Koichi Fukunaga, Yasutaka Nakano et al. · 2023 · Respiratory Investigation
35. Noninvasive Molecular Subtyping of Pediatric Low-Grade Glioma with Self-Supervised Transfer Learning
    Divyanshu Tak, Zezhong Ye, Anna Zapaishchykova, Yining Zha, Aidan Boyd, Sridhar Vajapeyam, Rishi Chopra, Hasaan Hayat, Sanjay P. Prabhu, Kevin X. Liu et al. · 2024 · Radiology Artificial Intelligence
36. A pilot study using kernelled support tensor machine for distant failure prediction in lung SBRT
    Shulong Li, Ning Yang, Bin Li, Zhiguo Zhou, Hongxia Hao, Michael Ryan Folkert, Puneeth Iyengar, Kenneth D. Westover, Hak Choy, Robert D Timmerman et al. · 2018 · Medical Image Analysis
37. Applying CT texture analysis to determine the prognostic value of subsolid nodules detected during low-dose CT screening
    Qi Sun, Yao Huang, Juan Wang, Shijun Zhao, Linhua Zhang, Wei Tang, Ning Wu · 2018 · Clinical Radiology
38. Medical Imaging Technologists in Radiomics Era: An Alice in Wonderland Problem
    Hamid Abdollahi, Isaac Shiri, Mohammad HEYDARI · 2019 · Iranian Journal of Public Health
39. Detection of Dominant Intra-prostatic Lesions in Patients With Prostate Cancer Using an Artificial Neural Network and MR Multi-modal Radiomics Analysis
    Hassan Bagher‐Ebadian, Branislava Janic, Chang Liu, Milan Pantelic, David Hearshen, Mohamed A. Elshaikh, Benjamin Movsas, Indrin J. Chetty, Ning Winston Wen · 2019 · Frontiers in Oncology
40. Prediction of acute versus chronic osteoporotic vertebral fracture using radiomics-clinical model on CT
    Hui Yang, Sheng Yan, Jiang Li, Xiuzhu Zheng, Qianqian Yao, Shaofeng Duan, Jianzhong Zhu, LI Chang-qin, Jian Qin · 2022 · European Journal of Radiology
41. Assessment of Heterogeneity Difference Between Edge and Core by Using Texture Analysis
    Shiteng Suo, Jiejun Cheng, Mengqiu Cao, Qing Lü, Yan Yin, Jianrong Xu, Huawei Wu · 2016 · Academic Radiology
42. Appearance Constrained Semi-Automatic Segmentation from DCE-MRI is Reproducible and Feasible for Breast Cancer Radiomics: A Feasibility Study
    Harini Veeraraghavan, Brittany Zadek Dashevsky, Natsuko Onishi, Meredith Sadinski, Elizabeth Ann Morris, Joseph O. Deasy, Elizabeth Jane Sutton · 2018 · Scientific Reports
43. Radiomics for clinical decision support in radiation oncology
    Luca Russo, Diepriye Charles-Davies, Silvia Bottazzi, Evis Sala, Luca Boldrini · 2024 · Clinical Oncology
44. Evaluating the impact of the Radiomics Quality Score: a systematic review and meta-analysis
    Nathaniel Barry, Jake Kendrick, Kaylee Molin, Suning Li, Pejman Rowshanfarzad, Ghulam Mubashar Hassan, Jason Dowling, Paul Maria Parizel, Michael S. Hofman, Martin A. Ebert · 2025 · European Radiology
45. Integrative Cancer Epidemiology—The Next Generation
    Margaret R. Spitz, Neil E. Caporaso, Thomas A. Sellers · 2012 · Cancer Discovery
46. Current status and future challenges for molecular imaging
    Carolyn J. Anderson, Jason Stuart Lewis · 2017 · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences
47. Reliability of Radiomic Features Across Multiple Abdominal CT Image Acquisition Settings: A Pilot Study Using ACR CT Phantom
    Lin Lü, Yongguang Liang, Lawrence Howard Schwartz, Binsheng Zhao · 2019 · Tomography
48. Can texture features improve the differentiation of infiltrative lung adenocarcinoma appearing as ground glass nodules in contrast-enhanced CT?
    Chen Gao, Ping Xiang, Jianfeng Ye, Peipei Pang, Shiwei Wang, Maosheng Xu · 2019 · European Journal of Radiology
49. Complementary role of computed tomography texture analysis for differentiation of pancreatic ductal adenocarcinoma from pancreatic neuroendocrine tumors in the portal-venous enhancement phase
    Christian Philipp Reinert, Karolin Baumgartner, Tobias Hepp, Michael Bitzer, Marius Horger · 2020 · Abdominal Radiology
50. Multifaceted radiomics for distant metastasis prediction in head & neck cancer
    Zhiguo Zhou, Kai Wang, Michael Ryan Folkert, Hui Liu, Steve B Jiang, David Jonathan Sher, Jing Wang · 2020 · Physics in Medicine and Biology
51. Neoplastic and Non-neoplastic Acute Intracerebral Hemorrhage in CT Brain Scans: Machine Learning-Based Prediction Using Radiomic Image Features
    Jawed Nawabi, Helge C. Kniep, Reza Kabiri, Gabriel Broocks, Tobias Djamsched Faizy, Christian Philip Thaler, Gerhard Schön, Jens Fiehler, Uta Meta Paula Hanning · 2020 · Frontiers in Neurology
52. In-Series U-Net Network to 3D Tumor Image Reconstruction for Liver Hepatocellular Carcinoma Recognition
    Wen‐Fan Chen, Hsin‐You Ou, Keng-Hao Liu, Zhiyun Li, Chien-Chang Liao, Shaoyu Wang, Wen Huang, Yu‐Fan Cheng, Cheng‐Tang Pan · 2020 · Diagnostics
53. FDG-PET Radiomics for Response Monitoring in Non-Small-Cell Lung Cancer Treated with Radiation Therapy
    Montserrat Carles, Tobias Fechter, Gianluca Radicioni, Tanja Schimek‐Jasch, Sonja Adebahr, Constantinos Zamboglou, Nils H. Nicolay, Luis Martí‐Bonmatí, Ursula Nestle, Anca‐Ligia Grosu et al. · 2021 · Cancers
54. Radiomics nomogram for the preoperative prediction of lymph node metastasis in pancreatic ductal adenocarcinoma
    Yun Bian, Shiwei Guo, Hui Jiang, Suizhi Gao, Chengwei Shao, Kai Cao, Xu Fang, Jing Li, Li Wang, Chao Ma et al. · 2022 · Cancer Imaging
55. Tumor Microenvironment, Radiology, and Artificial Intelligence: Should We Consider Tumor Periphery?
    A. Mohammadi, M. Mirza-Aghazadeh-Attari, F. Faeghi, Hassan Homayoun, J. Abolghasemi, T. Vogl, N. Bureau, M. Bakhshandeh, R. Acharya, A. Abbasian Ardakani · 2022 · Journal of ultrasound in medicine
56. Emerging role of quantitative imaging (radiomics) and artificial intelligence in precision oncology
    Ashish Kumar Jha, Sneha Mithun, Umesh B. Sherkhane, Pooja Dwivedi, Senders Puts, Biche Osong, Alberto Traverso, Nilendu C. Purandare, Leonard Wee, Venkatesh Rangarajan et al. · 2023 · Exploration of Targeted Anti-tumor Therapy
57. Radiomics and radiogenomics: extracting more information from medical images for the diagnosis and prognostic prediction of ovarian cancer
    Song Zeng, Xinlu Wang, Hua Yang · 2024 · Military Medical Research
58. Radiomics and imaging genomics in precision medicine
    Geewon Lee, Ho Yun Lee, Eun Sook Ko, Woo Kyoung Jeong · 2017 · Precision and Future Medicine
59. Prediction of 1p/19q Codeletion in Diffuse Glioma Patients Using Pre-operative Multiparametric Magnetic Resonance Imaging
    Donnie Kim, Nicholas Chandler Wang, Viswesh Ravikumar, D. R. Raghuram, Jinju Li, Ankit Patel, Richard E. Wendt, Ganesh Rao, Arvind U.K. Rao · 2019 · Frontiers in Computational Neuroscience
60. Multi-level features combined end-to-end learning for automated pathological grading of breast cancer on digital mammograms
    Jinjin Hai, Hongna Tan, Jian Chen, Minghui Wu, Kai Qiao, Xu Jingbo, Lei Zeng, Fei Gao, Dapeng Shi, Bin Yan · 2018 · Computerized Medical Imaging and Graphics
61. Ct radiomic features of pancreatic neuroendocrine neoplasms (panNEN) are robust against delineation uncertainty
    Martina Mori, Giulia Benedetti, Stefano Partelli, Carla Sini, Valentina Andreasi, Sara Broggi, Maurizio Barbera, Giovanni Mauro Cattaneo, Francesca Muffatti, Marta Maria Panzeri et al. · 2018 · Physica Medica
62. PET/MR Imaging:
    Neha S. Kwatra, Ruth Lim, Michael Stanley Gee, Lisa J. States, Arastoo Vossough, Edward Y. Lee · 2019 · Magnetic Resonance Imaging Clinics of North America
63. Molecular Subtypes Recognition of Breast Cancer in Dynamic Contrast-Enhanced Breast Magnetic Resonance Imaging Phenotypes from Radiomics Data
    Wei Li, Kun Yu, Chaolu Feng, Dazhe Zhao · 2019 · Computational and Mathematical Methods in Medicine
64. PETER PHAN: An MRI phantom for the optimisation of radiomic studies of the female pelvis
    Linda Bianchini, Francesca Botta, Daniela Origgi, Stefania Rizzo, Manuel Mariani, Paul Eugene Summers, Pablo García‐Polo, Marta Cremonesi, A. Lascialfari · 2020 · Physica Medica
65. The systems of metastatic potential prediction in pheochromocytoma and paraganglioma.
    Yong Wang, Minghao Li, Hao Deng, Yingxian Pang, Longfei Liu, Xiao Guan · 2020 · PubMed Central
66. CT Radiomics for Distinction of Human Epidermal Growth Factor Receptor 2 Negative Gastric Cancer
    Yue Wang, Yang Yu, Wei Han, Yingjing Zhang, Lin Jiang, Huadan Xue, Jing Lei, Zhengyu Jin, Jianchun Yu · 2020 · Academic Radiology
67. Differentiation of Pelvic Osteosarcoma and Ewing Sarcoma Using Radiomic Analysis Based on T2‐Weighted Images and Contrast‐Enhanced T1‐Weighted Images
    Yi Dai, Ping Yin, Ning Mao, Chao Sun, Jiangfen Wu, Guanxun Cheng, Nan Hong · 2020 · BioMed Research International
68. Presurgical detection of brain invasion status in meningiomas based on first-order histogram based texture analysis of contrast enhanced imaging
    Sedat Giray Kandemirli, Saurav Chopra, Sarv Priya, Caitlin E. Ward, Thomas Locke, Neetu Soni, Sanvesh Srivastava, Karra A. Jones, Girish Bathla · 2020 · Clinical Neurology and Neurosurgery
69. Tubular gastric adenocarcinoma: machine learning-based CT texture analysis for predicting lymphovascular and perineural invasion
    Aytül Hande Yardımcı, Burak Koçak, Ceyda Turan Bektaş, İpek Sel, Enver Yarıkkaya, Nevra Dursun, Hasan Bektaş, Cigdem Usul Afsarriz, Rıza Umar Gürsu, Özgür Kılıçkesmez · 2020 · Diagnostic and Interventional Radiology
70. Artificial Intelligence for Response Evaluation With PET/CT
    Lise Wei, Issam El Naqa · 2020 · Seminars in Nuclear Medicine
71. Machine Learning-Based Multiparametric Magnetic Resonance Imaging Radiomics for Prediction of H3K27M Mutation in Midline Gliomas
    Sedat Giray Kandemirli, Burak Koçak, Shotaro Naganawa, Kerem Öztürk, Stephen S. F. Yip, Saurav Chopra, Luciano Rivetti, Amro Saad Aldine, Karra A. Jones, Zuzan Caycı et al. · 2021 · World Neurosurgery
72. Artificial Intelligence and Radiomics in Head and Neck Cancer Care: Opportunities, Mechanics, and Challenges
    Lisanne Vania van Dijk, Clifton David Fuller · 2021 · American Society of Clinical Oncology Educational Book
73. Methodological quality of machine learning-based quantitative imaging analysis studies in esophageal cancer: a systematic review of clinical outcome prediction after concurrent chemoradiotherapy
    Zhenwei Shi, Zhen Zhang, Zaiyi Liu, Lujun Zhao, Zhaoxiang Ye, Andre L.A.J. Dekker, Leonard Wee · 2021 · European Journal of Nuclear Medicine and Molecular Imaging
74. Building an Artificial Intelligence Laboratory Based on Real World Data: The Experience of Gemelli Generator
    Andrea Damiani, Carlotta Masciocchi, Jacopo Lenkowicz, Nikola Dino Capocchiano, Luca Boldrini, Luca Tagliaferri, Alfredo Cesario, Paolo Domenico Angelo Sergi, Antonella Marchetti, Alice Luraschi et al. · 2021 · Frontiers in Computer Science
75. Investigation of radiomics based intra-patient inter-tumor heterogeneity and the impact of tumor subsampling strategies
    T. Henry, R. Sun, M. Lerousseau, T. Estienne, C. Robert, B. Besse, N. Paragios, É. Deutsch · 2022 · Scientific Reports
76. Radiomics-Based Assessment of OCT Angiography Images for Diabetic Retinopathy Diagnosis
    Laura Carrera-Escalé, Anass Benali, Ann-Christin Rathert, Rubén Martín, Carolina Bernal-Morales, Aníbal Alé-Chilet, Marina Barraso, Sara Marín-Martínez, Silvia Feu-Basilio, Josep Rosinés-Fonoll et al. · 2022 · Ophthalmology Science
77. Novel Quantitative PET Techniques for Clinical Decision Support in Oncology
    Habib Zaidi, Abass A. Alavi, Issam El Naqa · 2018 · Seminars in Nuclear Medicine
78. Radiomics as a non-invasive adjunct to Chest CT in distinguishing benign and malignant lung nodules
    Minmini Selvam, Anupama Chandrasekharan, Abjasree Sadanandan, Vikas Kumar Anand, Arunan Murali, Ganapathy Krishnamurthi · 2023 · Scientific Reports
79. Deep learning and radiomics-based approach to meningioma grading: exploring the potential value of peritumoral edema regions
    Zhuo Zhang, Ying Miao, Jixuan Wu, Xiaochen Zhang, Quanfeng Ma, Hua Bai, Qiang Gao · 2024 · Physics in Medicine and Biology
80. Radiomics in precision medicine for lung cancer
    Julie Constanzo, Lise Wei, Huan‐Hsin Tseng, Issam El Naqa · 2017 · Translational Lung Cancer Research
81. The value of MR textural analysis in prostate cancer
    Nishil Patel, Ann M. Henry, Andrew Frederick Scarsbrook · 2018 · Clinical Radiology
82. Can radiomics help to predict skeletal muscle response to chemotherapy in stage IV non-small cell lung cancer?
    Evelyn E.C. de Jong, Karin J.C. Sanders, Timo M. Deist, Wouter van Elmpt, Arthur Jochems, Janita E. van Timmeren, Ralph T. H. Leijenaar, Juliette H. R. J. Degens, Annemie M.W.J. Schols, Anne‐Marie C. Dingemans et al. · 2019 · European Journal of Cancer
83. Radiomics and Texture Analysis in Laryngeal Cancer. Looking for New Frontiers in Precision Medicine through Imaging Analysis
    Carlos Miguel Chiesa-Estomba, Oier Echaniz, Ekhiñe Larruscain, José Ángel González-García, Jon Alexander Sistiaga-Suárez, Manuel Graña · 2019 · Cancers
84. Application of Radiomics in Central Nervous System Diseases: a Systematic literature review
    Yanghua Fan, Ming Feng, Renzhi Wang · 2019 · Clinical Neurology and Neurosurgery
85. Relevance of apparent diffusion coefficient features for a radiomics‐based prediction of response to induction chemotherapy in sinonasal cancer
    Marco Bologna, Giuseppina Calareso, Carlo Resteghini, Silvana Sdao, Eros Montin, Valentina Corino, Luca Tommaso Mainardi, Lisa Francesca Licitra, Paolo Bossi · 2020 · NMR in Biomedicine
86. The Aging Imageomics Study: rationale, design and baseline characteristics of the study population
    Josep Puig, Carles Biarnés, Salvador Pedraza, Joan Carles Vilanova, Reinald Pamplona, José Manuel Fernández‐Real, Ramón Brugada, Rafel Ramos, Gabriel Coll de Tuero, Laia Calvó‐Perxas et al. · 2020 · Mechanisms of Ageing and Development
87. DCU-Net: Multi-scale U-Net for brain tumor segmentation
    Tiejun Yang, Yudan Zhou, Lei Li, Chunhua Zhu · 2020 · Journal of X-Ray Science and Technology
88. From CT to artificial intelligence for complex assessment of plaque-associated risk
    Diana Opincariu, Theodora Benedek, Monica Chițu, Nóra Raț, Imre Benedek · 2020 · International journal of cardiac imaging
89. Pancreatic Cancer Imaging: A New Look at an Old Problem
    Linda Chi Hang Chu, Seyoun Park, Satomi Kawamoto, Alan Yuille, Ralph H. Hruban, Elliot K. Fishman · 2020 · Current Problems in Diagnostic Radiology
90. Evaluating treatment response to neoadjuvant chemoradiotherapy in rectal cancer using various MRI-based radiomics models
    Zhihui Li, Xiaolu Ma, Fu Shen, Haidi Lu, Yuwei Xia, Jianping Lu · 2021 · BMC Medical Imaging
91. Integrative nomogram of intratumoral, peritumoral, and lymph node radiomic features for prediction of lymph node metastasis in cT1N0M0 lung adenocarcinomas
    Sushant Kumar Das, Ke-Wei Fang, Long Xu, Bing Li, Xin Zhang, Hanfeng Yang · 2021 · Scientific Reports
92. Magnetic resonance radiomics features and prognosticators in different molecular subtypes of pediatric Medulloblastoma
    Feng‐Chi Chang, Tai‐Tong Wong, Kuo-Sheng Wu, Chia‐Feng Lu, Ting-Wei Weng, Muh‐Lii Liang, Chih‐Chun Wu, Wan‐Yuo Guo, Cheng‐Yu Chen, Kevin Li‐Chun Hsieh · 2021 · PLoS ONE
93. Evolving Role and Translation of Radiomics and Radiogenomics in Adult and Pediatric Neuro-Oncology
    M. Ak, S. Toll, K. Hein, R. Colen, S. Khatua · 2021 · American Journal of Neuroradiology
94. Deep learning predicts resistance to neoadjuvant chemotherapy for locally advanced gastric cancer: a multicenter study
    Jiayi Zhang, Yanfen Cui, Kaikai Wei, Zhenhui Li, Dandan Li, Ruirui Song, Jialiang Ren, Xin Gao, Xiaotang Yang · 2022 · Gastric Cancer
95. A Framework for Harmonization of Radiomics Data for Multicenter Studies and Clinical Trials
    Moataz Soliman, Linda C. Kelahan, Michael J. Magnetta, Hatice Savas, Rishi Agrawal, Ryan J. Avery, Pascale J. Aouad, Benjamin P. Liu, Yue Xue, Young Kwang Chae et al. · 2022 · JCO Clinical Cancer Informatics
96. Radiomics-based analysis of CT imaging for the preoperative prediction of invasiveness in pure ground-glass nodule lung adenocarcinomas
    Hui Feng, Gaofeng Shi, Qian Xu, Jialiang Ren, Lijia Wang, Xiaojia Cai · 2023 · Insights into Imaging
97. Automated 5-year mortality prediction using deep learning and radiomics features from chest computed tomography
    Gustavo Carneiro, Luke Oakden‐Rayner, Andrew Peter Bradley, Jacinto C. Nascimento, Lyle John Palmer · 2017 · IEEE International Symposium on Biomedical Imaging (ISBI)
98. VATE: VAlidation of high TEchnology based on large database analysis by learning machine
    Elisa Meldolesi, Johan van Soest, A.R. Alitto, Rosa Autorino, N. Dinapoli, Andre L.A.J. Dekker, Maria Antonietta Gambacorta, Roberto Gatta, Luca Tagliaferri, Andrea Damiani et al. · 2014 · Colorectal Cancer
99. Radiomic Feature Robustness and Reproducibility in Quantitative Bone Radiography: A Study on Radiologic Parameter Changes
    Ehsan Saeedi, Ali Dezhkam, Jalal Beigi, Sajjad Rastegar, Zahra Yousefi, Lotf Ali Mehdipour, Hamid Abdollahi, Kiarash Tanha · 2018 · Journal of Clinical Densitometry
100. A novel image signature-based radiomics method to achieve precise diagnosis and prognostic stratification of gliomas
     Huigao Luo, Qiyuan Zhuang, Yuanyuan Wang, Abudumijiti Aibaidula, Kuangyu Shi, Axel Rominger, Hong Chen, Zhong Hui Yang, Vanessa Tran, Guoqing Wu et al. · 2020 · Laboratory Investigation