Radiomics: Images Are More than Pictures, They Are Data

Cited by (1,034)

Items 201–300 of 1,034

1. Texture analysis of medical images for radiotherapy applications
   Elisa Scalco, Giovanna Rizzo · 2016 · British Journal of Radiology
2. CT radiomics nomogram for the preoperative prediction of lymph node metastasis in gastric cancer
   Yue Wang, Wei Liu, Yu Yang, Jing-juan Liu, Huadan Xue, Yafei Qi, Jing Lei, Jianchun Yu, Zhengyu Jin · 2019 · European Radiology
3. Intratumor partitioning and texture analysis of dynamic contrast‐enhanced (DCE)‐MRI identifies relevant tumor subregions to predict pathological response of breast cancer to neoadjuvant chemotherapy
   Jia Wu, G. Gong, Yi Cui, Ruijiang Li · 2016 · Journal of Magnetic Resonance Imaging
4. Diagnostic challenges in meningioma
   Martha Nowosielski, Norbert Galldiks, Sarah Iglseder, Philipp Kickingereder, Andreas von Deimling, Martin Bendszus, Wolfgang Wick, Felix Sahm · 2017 · Neuro-Oncology
5. Differentiation between glioblastoma, brain metastasis and subtypes using radiomics analysis
   Moran Artzi, Idan Bressler, Dafna Ben Bashat · 2019 · Journal of Magnetic Resonance Imaging
6. Artificial Intelligence in Musculoskeletal Imaging: Current Status and Future Directions
   Soterios Gyftopoulos, Dana J. Lin, Florian Knöll, Ankur M. Doshi, Tatiane Cantarelli Rodrigues, Michael P. Recht · 2019 · American Journal of Roentgenology
7. Development of a Combined MR Fingerprinting and Diffusion Examination for Prostate Cancer
   Alice C. Yu, Chaitra A. Badve, Lee Evan Ponsky, Shivani S Pahwa, Sara Dastmalchian, Matthew Rogers, Yun Jiang, Seunghee Park Margevicius, MARK D. SCHLUCHTER, William Tabayoyong et al. · 2017 · Radiology
8. Radiomics assessment of bladder cancer grade using texture features from diffusion‐weighted imaging
   Xi Zhang, Xiaopan Xu, Qiang Tian, Baojuan Li A, Yuxia Wu, Zengyue Yang, Zhengrong Liang, Yang Liu, Guangbin Cui, Hongbing Lu · 2017 · Journal of Magnetic Resonance Imaging
9. A review of original articles published in the emerging field of radiomics
   Jiangdian Song, Yanjie Yin, Hairui Wang, Zhihui Chang, Zhaoyu Liu, Lei Cui · 2020 · European Journal of Radiology
10. A predictive model for distinguishing radiation necrosis from tumour progression after gamma knife radiosurgery based on radiomic features from MR images
    Zijian Zhang, Jinzhong Yang, Angela Ho, Wen Jiang, Jennifer K. Logan, Xin Wang, Paul D. Brown, Susan Lynne McGovern, Nandita Guha‐Thakurta, Sherise Desiree Ferguson et al. · 2017 · European Radiology
11. MRI-based radiomics nomogram may predict the response to induction chemotherapy and survival in locally advanced nasopharyngeal carcinoma
    Lina Zhao, Jie Gong, Yibin Xi, Man Xu, Chen Li, Xiaowei Kang, Yutian Yin, Wei Qin, Hong J. Yin, Mei Shi · 2019 · European Radiology
12. Harmonization strategies for multicenter radiomics investigations
    Ronrick Da‐ano, Dimitris Visvikis, Mathieu Hatt · 2020 · Physics in Medicine and Biology
13. Radiomics and Deep Learning: Hepatic Applications
    Hyo Jung Park, Bumwoo Park, Seung Soo Lee · 2020 · Korean Journal of Radiology
14. Radiomics Improves Cancer Screening and Early Detection
    Gillies, Robert J., Schabath, Matthew B. · 2020 · Cancer Epidemiology, Biomarkers & Prevention
15. Clinical Impact of Deep Learning Reconstruction in MRI
    Shigeru Kiryu, Hiroyuki Akai, Koichiro Yasaka, Taku Tajima, Akira Kunimatsu, Naoki Yoshioka, Masaaki Akahane, Osamu Abe, Kuni Ohtomo · 2023 · Radiographics
16. Integrated radiomic framework for breast cancer and tumor biology using advanced machine learning and multiparametric MRI
    Vishwa S. Parekh, Michael A. Jacobs · 2017 · npj Breast Cancer
17. Psychoradiologic Utility of MR Imaging for Diagnosis of Attention Deficit Hyperactivity Disorder: A Radiomics Analysis
    Huaiqiang Sun, Ying Chen, Qiang Huang, Su Lui, Xiaoqi Huang, Yan Shi, Xin Xu, John A. Sweeney, Qiyong Gong · 2017 · Radiology
18. Preoperative radiomic signature based on multiparametric magnetic resonance imaging for noninvasive evaluation of biological characteristics in rectal cancer
    Xiaochun Meng, Wei Xia, Peiyi Xie, Rui Zhang, Wenjun Li, Mengmeng Wang, Fei Xiong, Yangchuan Liu, Xinjuan Fan, Yao Xie et al. · 2018 · European Radiology
19. Radiomics of computed tomography and magnetic resonance imaging in renal cell carcinoma—a systematic review and meta-analysis
    Stephan Ursprung, Lucian Beer, Annemarie Bruining, Ramona Woitek, Grant Duncan Stewart, Ferdia Aidan Gallagher, Evis Sala · 2020 · European Radiology
20. Multiregional radiomics features from multiparametric MRI for prediction of MGMT methylation status in glioblastoma multiforme: A multicentre study
    Zhicheng Li, Hongmin Bai, Qiuchang Sun, Qihua Li, Lei Liu, Yan Zou, Yinsheng Chen, Chaofeng Liang, Hairong Zheng · 2018 · European Radiology
21. Pretreatment prediction of immunoscore in hepatocellular cancer: a radiomics-based clinical model based on Gd-EOB-DTPA-enhanced MRI imaging
    Shuling Chen, Shi‐Ting Feng, Jingwei Wei, Fei Liu, Bin Li, Xin Li, Yang Hou, Dongsheng Gu, Mimi Tang, Han Xiao et al. · 2019 · European Radiology
22. Breast cancer, screening and diagnostic tools: All you need to know
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23. Interpretation of radiomics features–A pictorial review
    Ali Abbasian Ardakani, Nathalie J. Bureau, Edward J. Ciaccio, U. Rajendra Acharya · 2021 · Computer Methods and Programs in Biomedicine
24. Radiomic analysis reveals DCE-MRI features for prediction of molecular subtypes of breast cancer
    Ming Fan, Hui Li, Shijian Wang, Bin Zheng, Juan Zhang, Lihua Li · 2017 · PLoS ONE
25. Radiomics and Its Feature Selection: A Review
    Wenchao Zhang, Yu Ting Guo, Qiyu Jin · 2023 · Symmetry
26. Noninvasive imaging evaluation of tumor immune microenvironment to predict outcomes in gastric cancer
    Jiang, Y., Wang, H., Wu, J., Chen, C., Yuan, Q., Huang, W., Li, T., Xi, S., Hu, Y., Zhou, Z. et al. · 2020 · Annals of Oncology
27. 2D and 3D CT Radiomics Features Prognostic Performance Comparison in Non-Small Cell Lung Cancer
    Chen Shen, Zhenyu Liu, Min Guan, Jiangdian Song, Yucheng Lian, Shuo Wang, Zhenchao Tang, Di Dong, Lingfei Kong, Meiyun Wang et al. · 2017 · Translational Oncology
28. Distinguishing True Progression From Radionecrosis After Stereotactic Radiation Therapy for Brain Metastases With Machine Learning and Radiomics
    Luke C. Peng, Vishwa S. Parekh, Peng Huang, Doris D M Lin, Khadija Sheikh, Brock R. Baker, Talia Kirschbaum, Francesca Silvestri, Jessica Son, Adam Robinson et al. · 2018 · International Journal of Radiation Oncology*Biology*Physics
29. Development and validation of a CT-based radiomic nomogram for preoperative prediction of early recurrence in advanced gastric cancer
    Wenjuan Zhang, Mengjie Fang, Di Dong, Xiaoxiao Wang, Xiaoai Ke, Liwen Zhang, Chaoen Hu, Lingyun Guo, Xiaoying Guan, Junlin Zhou et al. · 2019 · Radiotherapy and Oncology
30. Precision radiology: predicting longevity using feature engineering and deep learning methods in a radiomics framework
    Oakden-Rayner, Luke, Carneiro, Gustavo, Bessen, Taryn, Nascimento, Jacinto C., Bradley, Andrew P., Palmer, Lyle J. · 2017 · Scientific Reports
31. Radiomics signature: A potential biomarker for the prediction of MGMT promoter methylation in glioblastoma
    Yibin Xi, Fan Guo, Ziliang Xu, Chen Li, Wei Wei, Ping Tian, Ting‐ting Liu, Lin Liu, Gang Chen, Jing Ye et al. · 2017 · Journal of Magnetic Resonance Imaging
32. Radiomics signature: A potential and incremental predictor for EGFR mutation status in NSCLC patients, comparison with CT morphology
    Wenting Tu, Guangyuan Sun, Li Fan, Yun Wang, Yi Xia, Yu Guan, Qiong Li, Di Zhang, Shiyuan Liu, Zhaobin Li · 2019 · Lung Cancer
33. Joint EANM/SNMMI guideline on radiomics in nuclear medicine
    Mathieu Hatt, Aron K. Krizsan, Arman Rahmim, Tyler Bradshaw, Pedro Fragoso Costa, Attila Forgács, Robert Seifert, Alex Zwanenburg, I. El Naqa, Paul E. Kinahan et al. · 2022 · European Journal of Nuclear Medicine and Molecular Imaging
34. Peritumoral radiomics features predict distant metastasis in locally advanced NSCLC
    Tai H. Dou, Thibaud P. Coroller, Joost J. M. van Griethuysen, Raymond H. Mak, Hugo J.W.L. Aerts · 2018 · PLoS ONE
35. Radiographic prediction of meningioma grade by semantic and radiomic features
    Thibaud P. Coroller, Wenya Linda Bi, Elizabeth Huynh, Malak Abedalthagafi, Ayal Aaron Aizer, Noah F. Greenwald, Chintan Parmar, Vivek Narayan, Winona W. Wu, Samuel Miranda de Moura et al. · 2017 · PLoS ONE
36. Radiomics analysis of pulmonary nodules in low‐dose CT for early detection of lung cancer
    Wookjin Choi, Jung Hun Oh, Sadegh Riyahi, Chia‐Ju Liu, Feng Jiang, Wengen Chen, CHARLES STANLEY WHITE, Andreas Rimner, James Mechalakos, Joseph O. Deasy et al. · 2018 · Medical Physics
37. Radiomics analysis at PET/CT contributes to prognosis of recurrence and survival in lung cancer treated with stereotactic body radiotherapy
    Anastasia Oikonomou, Farzad Khalvati, Pascal N. Tyrrell, Masoom A. Haider, Usman Tarique, Laura Jiménez‐Juan, Michael C. Tjong, Ian Poon, Armin Eilaghi, Lisa E. Ehrlich et al. · 2018 · Scientific Reports
38. Development of a radiomics nomogram based on the 2D and 3D CT features to predict the survival of non-small cell lung cancer patients
    Lifeng Yang, Jingbo Yang, Xiaobo Zhou, Liyu Huang, Weiling Zhao, Tao Wang, Jian Zhuang, Jie Tian · 2018 · European Radiology
39. Notice of Retraction: AI Techniques for COVID-19
    Adedoyin A. Hussain, Ouns Bouachir, Fadi Al-Turjman, Moayad Aloqaily · 2020 · IEEE Access · Retracted
40. Acidosis and cancer: from mechanism to neutralization
    Arig Ibrahim‐Hashim, Veronica C. Estrella · 2019 · Cancer and Metastasis Reviews
41. Radiomics in neuro-oncology: Basics, workflow, and applications
    Philipp Lohmann, Norbert Galldiks, Martin Köcher, Alexander Heinzel, Christian Filß, Carina Stegmayr, Felix Manuel Mottaghy, Gereon R. Fink, Nadim Jon Shah, Karl‐Josef Langen · 2020 · Methods
42. Radiomics score: a potential prognostic imaging feature for postoperative survival of solitary HCC patients
    Bo-Hao Zheng, Longzi Liu, Zhi-Zhi Zhang, Jie-Yi Shi, Liangqing Dong, Lingyu Tian, Zhen‐Bin Ding, Yuan Ji, Shengxiang Rao, Jian Zhou et al. · 2018 · BMC Cancer
43. Machine learning in breast MRI
    Beatriu Reig, Laura C. Heacock, Krzysztof J. Geras, Linda P. Moy · 2019 · Journal of Magnetic Resonance Imaging
44. Fully Automated, Semantic Segmentation of Whole-Body18F-FDG PET/CT Images Based on Data-Centric Artificial Intelligence
    Lalith Kumar Shiyam Sundar, Josef Yu, Otto Muzik, Oana Cristina Kulterer, Barbara J. Fueger, Daria Kifjak, THOMAS SELIM NAKUZ, Hyung Min Shin, Annika Katharina Sima, Daniela Kitzmantl et al. · 2022 · Journal of Nuclear Medicine
45. Clear Cell Renal Cell Carcinoma: Machine Learning-Based Quantitative Computed Tomography Texture Analysis for Prediction of Fuhrman Nuclear Grade
    Ceyda Turan Bektaş, Burak Koçak, Aytül Hande Yardımcı, Mehmet Hamza Türkcanoğlu, Uğur Yücetaş, Sevim Baykal Koca, Çağrı Erdim, Özgür Kılıçkesmez · 2018 · European Radiology
46. Next-Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Algorithms
    Isaac Shiri, Hasan Maleki, Ghasem Hajianfar, Hamid Abdollahi, Saeed Ashrafinia, Mathieu Hatt, Habib Zaidi, Mehrdad Oveisi, Arman Rahmim · 2020 · Molecular Imaging and Biology
47. MRI radiomics features predict immuno-oncological characteristics of hepatocellular carcinoma
    Stefanie J. C. G. Hectors, Sara C. Lewis, Cecilia Besa, Michael J. King, Daniela Said, Juan Putra, Stephen C. Ward, Takaaki Higashi, Swan N. Thung, Yao Shen et al. · 2020 · European Radiology
48. Delta radiomics for rectal cancer response prediction with hybrid 0.35 T magnetic resonance-guided radiotherapy (MRgRT): a hypothesis-generating study for an innovative personalized medicine approach
    Luca Boldrini, Davide Cusumano, Giuditta Chiloiro, Calogero Casà, Carlotta Masciocchi, Jacopo Lenkowicz, Francesco Cellini, N. Dinapoli, L. Azario, Stefania Teodoli et al. · 2018 · La radiologia medica
49. Biologic Pathways Underlying Prognostic Radiomics Phenotypes from Paired MRI and RNA Sequencing in Glioblastoma
    Qiuchang Sun, Yinsheng Chen, Chaofeng Liang, Yuanshen Zhao, Xiaofei Lv, Yan Zou, Kai Yan, Hairong Zheng, Dong Liang, Zhicheng Li · 2021 · Radiology
50. Identification of invasive and radionuclide imaging markers of coronary plaque vulnerability using radiomic analysis of coronary computed tomography angiography
    Márton Kolossváry, Jonghanne Park, Ji-In Bang, Jinlong Zhang, Joo Myung Lee, Jin Chul Paeng, Béla Péter Merkely, Jagat Narula, Takashi Kubo, Takashi Akasaka et al. · 2019 · European Heart Journal - Cardiovascular Imaging
51. Systematic review: radiomics for the diagnosis and prognosis of hepatocellular carcinoma
    Emily Rose Harding-Theobald, Jeremy Louissaint, Bharat Maraj, Edward Cuaresma, Whitney A. Townsend, Mishal Mendiratta‐Lala, Amit G. Singal, Grace L. Su, Anna Suk-Fong Lok, Neehar D. Parikh · 2021 · Alimentary Pharmacology & Therapeutics
52. Development and validation of a radiomic signature to predict HPV (p16) status from standard CT imaging: a multicenter study
    Ralph T. H. Leijenaar, Marta Bogowicz, Arthur Jochems, Frank J P Hoebers, Frederik W. R. Wesseling, Sophie H Huang, Biu Chan, John N. Waldron, Brian O’Sullivan, Derek H. F. Rietveld et al. · 2018 · British Journal of Radiology
53. Plaque imaging with CT—a comprehensive review on coronary CT angiography based risk assessment
    Márton Kolossváry, Bálint Szilveszter, Béla Péter Merkely, Pál Maurovich‐Horvat · 2017 · Cardiovascular Diagnosis and Therapy
54. Radiomics-based features for pattern recognition of lung cancer histopathology and metastases
    José Raniery Ferreira, Marcel Koenigkam Santos, Federico Enrique Garcia Cipriano, Alexandre Todorovic Fabro, Paulo Mazzoncini de Azevedo‐Marques · 2018 · Computer Methods and Programs in Biomedicine
55. Texture Analysis and Machine Learning for Detecting Myocardial Infarction in Noncontrast Low-Dose Computed Tomography
    Manoj Mannil, Jochen von Spiczak, Robert Manka, Hatem Alkadhi · 2018 · Investigative Radiology
56. Novel clinical and radiomic predictors of rapid disease progression phenotypes among lung cancer patients treated with immunotherapy: An early report
    Ilke Tunali, Jhanelle E. Gray, Jin Qi, Mahmoud A. Abdalah, Daniel K. Jeong, Albert Güveniş, Robert J. Gillies, Matthew B. Schabath · 2019 · Lung Cancer
57. Technical Note: Extension of CERR for computational radiomics: A comprehensive MATLAB platform for reproducible radiomics research
    Aditya Apte, Aditi Iyer, Mireia Crispin‐Ortuzar, Rutu Pandya, Lisanne Vania van Dijk, Emiliano Spezi, Maria Thor, Hyemin Um, Harini Veeraraghavan, Jung Hun Oh et al. · 2018 · Medical Physics
58. Recent advancements in artificial intelligence for breast cancer: Image augmentation, segmentation, diagnosis, and prognosis approaches
    Jiadong Zhang, Jiaojiao Wu, Xiang Sean Zhou, Feng Shi, Dinggang G. Shen · 2023 · Seminars in Cancer Biology
59. Breast Microcalcification Diagnosis Using Deep Convolutional Neural Network from Digital Mammograms
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60. The Era of Radiogenomics in Precision Medicine: An Emerging Approach to Support Diagnosis, Treatment Decisions, and Prognostication in Oncology
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61. Role of texture analysis in breast MRI as a cancer biomarker: A review
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62. Robust Histopathology Image Analysis: To Label or to Synthesize?
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63. Metabolic Radiomics for Pretreatment 18F-FDG PET/CT to Characterize Locally Advanced Breast Cancer: Histopathologic Characteristics, Response to Neoadjuvant Chemotherapy, and Prognosis
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64. Radiomic analysis of DCE-MRI for prediction of response to neoadjuvant chemotherapy in breast cancer patients
    Ming Fan, Guolin Wu, Hu Cheng, Juan Zhang, Guoliang Shao, Lihua Li · 2017 · European Journal of Radiology
65. Osteoarthritis of the Temporomandibular Joint can be diagnosed earlier using biomarkers and machine learning
    Jonas Bianchi, Antônio Carlos de Oliveira Ruellas, João Roberto Gonçalves, Beatriz Paniagua, Juan Carlos Prieto, Martin Andreas Styner, Tengfei Li, Hongtu Zhu B, James V. Sugai, William Giannobile et al. · 2020 · Scientific Reports
66. Strategies and technical challenges for imaging oligometastatic disease: Recommendations from the European Organisation for Research and Treatment of Cancer imaging group
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67. Supervised machine learning enables non-invasive lesion characterization in primary prostate cancer with [68Ga]Ga-PSMA-11 PET/MRI
    László Papp, Clemens P. Spielvogel, Bernhard Grubmüller, Marko Grahovac, Denis Krajnc, Boglarka Ecsedi, Reza Agha Mohammadi Sareshgi, Dyaa Mohamad, Martina Hamböck, Ivo Rausch et al. · 2020 · European Journal of Nuclear Medicine and Molecular Imaging
68. Radiogenomic Analysis of Oncological Data: A Technical Survey
    Mariarosaria Incoronato, Marco Aiello, Teresa Infante, Carlo Cavaliere, Anna Grimaldi, Peppino Mirabelli, Serena Monti, Marco Salvatore · 2017 · International Journal of Molecular Sciences
69. Classifying brain metastases by their primary site of origin using a radiomics approach based on texture analysis: a feasibility study
    Rafael Ortiz-Ramón, Andrés Larroza, Silvia Ruiz‐España, Estanislao Arana, David Moratal · 2018 · European Radiology
70. A Radiomics Approach With CNN for Shear-Wave Elastography Breast Tumor Classification
    Yongjin Zhou, Jingxu Xu, Qiegen Liu, Cheng Li, Zaiyi Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang · 2018 · IEEE Transactions on Biomedical Engineering
71. Whither Magnetic Hyperthermia? A Tentative Roadmap
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72. Preoperative diagnosis and prediction of hepatocellular carcinoma: Radiomics analysis based on multi-modal ultrasound images
    Zhao Yao, Yi Dong, Guoqing Wu, Qi Zhang, Daohui Yang, Jinhua Yu, Wen‐Ping Wang · 2018 · BMC Cancer
73. Early evaluation using a radiomic signature of unresectable hepatic metastases to predict outcome in patients with colorectal cancer treated with FOLFIRI and bevacizumab
    Anthony J.J. Dohan, B. Gallix, Boris Guiu, Karine Le Malicot, Caroline Reinhold, Philippe A. Soyer, Jaafar Bennouna, François Ghiringhelli, Emilie Barbier, Valérie Boige et al. · 2019 · Gut
74. Multimodal deep learning models for the prediction of pathologic response to neoadjuvant chemotherapy in breast cancer
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75. The Rise of Radiomics and Implications for Oncologic Management
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76. Artificial intelligence in the diagnosis and management of colorectal cancer liver metastases
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77. Introduction to radiomics for a clinical audience
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78. Background parenchymal enhancement on breast MRI: A comprehensive review
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79. CT derived radiomic score for predicting the added benefit of adjuvant chemotherapy following surgery in stage I, II resectable non-small cell lung cancer: a retrospective multicohort study for outcome prediction
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80. Radiomics of high-grade serous ovarian cancer: association between quantitative CT features, residual tumour and disease progression within 12 months
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81. Clear cell renal cell carcinoma: CT-based radiomics features for the prediction of Fuhrman grade
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82. Prostate cancer classification with multiparametric MRI transfer learning model
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83. Radiomics in hepatocellular carcinoma: a quantitative review
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84. An Intelligent Diagnosis Method of Brain MRI Tumor Segmentation Using Deep Convolutional Neural Network and SVM Algorithm
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85. Magnetic resonance imaging radiomics in categorizing ovarian masses and predicting clinical outcome: a preliminary study
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86. Radiomics versus Visual and Histogram-based Assessment to Identify Atheromatous Lesions at Coronary CT Angiography: An ex Vivo Study
    Márton Kolossváry, Júlia Karády, Yasuka Kikuchi, Alexander V. Ivanov, Christopher L. Schlett, Michael T. Lu, Borek Foldyna, Béla Péter Merkely, Hugo J.W.L. Aerts, Udo Hoffmann et al. · 2019 · Radiology
87. Independent and Reproducible Hippocampal Radiomic Biomarkers for Multisite Alzheimer's Disease: Diagnosis, Longitudinal Progress and Biological Basis
    Kun Zhao, Yanhui Ding, Ying Han, Yong Fan A, Aaron F. Alexander‐Bloch, Tong Han, Dan Jin, Bing Liu, Jie Lu, Chengyuan Song et al. · 2019 · 中国科学通报：英文版
88. A Fully-Automatic Multiparametric Radiomics Model: Towards Reproducible and Prognostic Imaging Signature for Prediction of Overall Survival in Glioblastoma Multiforme
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89. MSS U-Net: 3D segmentation of kidneys and tumors from CT images with a multi-scale supervised U-Net
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90. A multi-sequence and habitat-based MRI radiomics signature for preoperative prediction of MGMT promoter methylation in astrocytomas with prognostic implication
    Jingwei Wei, Guoqiang Yang, Xiaohan Hao, Dongsheng Gu, Yan Qin Tan, Xiaochun Wang, Di Dong, Shuaitong Zhang, Le Wang, Hui Zhang et al. · 2018 · European Radiology
91. Deep learning for patient‐specific quality assurance: Identifying errors in radiotherapy delivery by radiomic analysis of gamma images with convolutional neural networks
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92. Artificial Intelligence Performance in Image-Based Ovarian Cancer Identification: A Systematic Review and Meta-Analysis
    He-Li Xu, Tingting Gong, Fang-Hua Liu, Hong-Yu Chen, Qian Xiao, Yang Hou, Ying Huang, Hongzan Sun, Yu Shi, Song Gao et al. · 2022 · EClinicalMedicine
93. Tissue segmentation of computed tomography images using a Random Forest algorithm: a feasibility study
    Daniel F. Polan, Samuel L. Brady, Robert A. Kaufman · 2016 · Physics in Medicine and Biology
94. 3D convolutional neural networks for tumor segmentation using long-range 2D context
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95. Radiomics Analysis of Gadoxetic Acid–enhanced MRI for Staging Liver Fibrosis
    Hyo Jung Park, Seung Soo Lee, Bumwoo Park, Jessica Yun, Yu Sub Sung, Woo Hyun Shim, Yong Moon Shin, So Yeon Kim, So Jung Lee, Moon-Gyu Lee · 2018 · Radiology
96. A decade of radiomics research: are images really data or just patterns in the noise?
    Daniel Pinto dos Santos, Matthias Dietzel, Bettina Baeßler · 2020 · European Radiology
97. Prostate cancer radiomics and the promise of radiogenomics
    Radka S. Stoyanova, Mandeep M. Takhar, Yohann Tschudi, John C. Ford, G.A. Altamirano Solórzano, Nicholas Erho, Yoganand Balagurunathan, Sanoj P. Punnen, Elai Davicioni, Robert J. Gillies et al. · 2016 · Translational Cancer Research
98. A Delta-radiomics model for preoperative evaluation of Neoadjuvant chemotherapy response in high-grade osteosarcoma
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99. Radiomics of MRI for pretreatment prediction of pathologic complete response, tumor regression grade, and neoadjuvant rectal score in patients with locally advanced rectal cancer undergoing neoadjuvant chemoradiation: an international multicenter study
    Hiram A. Shaish, Andrew T. Aukerman, Rami Sesha Vanguri, Antonino Spinelli, Paul M. Armenta, Sachin Jambawalikar, Jasnit S. Makkar, Stuart I. Bentley-Hibbert, Armando Del Portillo, Ravi Pokala Kiran et al. · 2020 · European Radiology
100. Integrating multi-omics data with EHR for precision medicine using advanced artificial intelligence
     Tong, Li, Shi, Wenqi, Isgut, Monica, Zhong, Yishan, Lais, Peter, Gloster, Logan, Sun, Jimin, Swain, Aniketh, Giuste, Felipe, Wang, May D. · 2024 · IEEE Reviews in Biomedical Engineering