The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository

Cited by (1,012)

Items 901–1,000 of 1,012

1. Radiomics-Based Support Vector Machine Distinguishes Molecular Events Driving the Progression of Lung Adenocarcinoma
   Hongji Li, Zhen‐Bin Qiu, Meng-Min Wang, Chao Zhang, Hui-Zhao Hong, Rui Fu, Lishan Peng, Chen Yu Huang, Qian Cui, Jia-Tao Zhang et al. · 2024 · Journal of Thoracic Oncology
2. Artificial intelligence application in the diagnosis and treatment of bladder cancer: advance, challenges, and opportunities
   Xiaoyu Ma, Qiuchen Zhang, Lvqi He, Xinyang Liu, Yang Xiao, Jingwen Hu, Shengjie Cai, Hongzhou Cai, Bin Yu · 2024 · Frontiers in Oncology
3. Medical Image Retrieval via Histogram of Compressed Scattering Coefficients
   Rushi Lan, Yicong Zhou · 2016 · IEEE Journal of Biomedical and Health Informatics
4. Multisite concordance of apparent diffusion coefficient measurements across the NCI Quantitative Imaging Network
   David C. Newitt, Dariya I. Malyarenko, Thomas L. Chenevert, C. Chad Quarles, Laura C. Bell, Andriy Fedorov, Fiona Fennessy, Michael A. Jacobs, Meiyappan Solaiyappan, Stefanie J. C. G. Hectors et al. · 2017 · Journal of medical imaging
5. Training and validation of a novel 4-miRNA ratio model (MiCaP) for prediction of postoperative outcome in prostate cancer patients
   L. Schmidt, Jacob Fredsøe, Helle Kristensen, Siri H. Strand, Anne Karin Ildor Rasmussen, S. Høyer, Michael Borre, Peter Mouritzen, Torben Falck Orntoft, Karina Dalsgaard Sørensen · 2018 · Annals of Oncology
6. Transferable HMM Trained Matrices for Accelerating Statistical Segmentation Time
   Shadi Mahmoud Faleh AlZu’bi, Sokyna M. Al-Qatawneh, Mohammad A. Alsmirat · 2018 · International Conference on Social Networks Analysis, Management and Security (SNAMS)
7. Semi-supervised mp-MRI data synthesis with StitchLayer and auxiliary distance maximization
   Zhiwei Wang, Yi Lin, Kwang-Ting Tim Cheng, Xin Yan Yang · 2019 · Medical Image Analysis
8. Classification of brain tumor isocitrate dehydrogenase status using MRI and deep learning
   Sahil Sunil Nalawade, Gowtham Krishnan Murugesan, Maryam Vejdani‐Jahromi, Ryan A. Fisicaro, Chandan Ganesh Bangalore Yogananda, Ben C. Wagner, Bruce Mickey, Elizabeth Anne Maher, Marco C. Pinho, Baowei Fei et al. · 2019 · Journal of medical imaging
9. Breast tumor detection and classification based on density
   Neeraj Shrivastava, Jyoti Bharti · 2020 · Multimedia Tools and Applications
10. Non-invasive imaging prediction of tumor hypoxia: A novel developed and externally validated CT and FDG-PET-based radiomic signatures
    Sebastian Sanduleanu, Arthur Jochems, Taman Upadhaya, Aniek J.G. Even, Ralph T. H. Leijenaar, Frank J. W. M. Dankers, Remy Klaassen, Henry C. Woodruff, Mathieu Hatt, H. Kaanders et al. · 2020 · Radiotherapy and Oncology
11. Deep hybrid neural-like P systems for multiorgan segmentation in head and neck CT/MR images
    Jie Xue, Yuan Wang, Deting Kong, Feiyang Wu, Anjie Yin, Jianhua Qu, Xiyu Liu · 2020 · Expert Systems with Applications
12. A Joint Detection and Recognition Approach to Lung Cancer Diagnosis From CT Images With Label Uncertainty
    Chenyang Liu, S. C. Chan · 2020 · IEEE Access
13. Extraction of Tumour in Breast MRI using Joint Thresholding and Segmentation – A Study
    Seifedine Kadry, Robertas Damaševičius, David Taniar, Venkatesan Rajinikanth, Isah Abdullahi Lawal · 2021 · International Conference on Bio Signals, Images, and Instrumentation (ICBSII)
14. Interpreting Deep Machine Learning Models: An Easy Guide for Oncologists
    José Pereira Amorim, Pedro Henriques Abreu, Alberto Fernández, Mauricio Reyes, Joao Santos, Miguel H. Abreu · 2021 · IEEE Reviews in Biomedical Engineering
15. Effect of patient inhalation profile and airway structure on drug deposition in image-based models with particle-particle interactions
    Josh Williams, Jari Kolehmainen, Steve Cunningham, Ali Özel, Uwe Wolfram · 2021 · International Journal of Pharmaceutics
16. Generative Adversarial Network (GAN) for Automatic Reconstruction of the 3D Spine Structure by Using Simulated Bi-Planar X-ray Images
    Ching-Juei Yang, Cheng‐Li Lin, Chien‐Kuo Wang, Jingyao Wang, Ray‐Bing Chen, Fong‐Chin Su, Yin-Ju Lee, Chun‐Chung Lui, Lee‐Ren Yeh, Yu-Hua Dean Fang · 2022 · Diagnostics
17. Breast DCE-MRI segmentation for lesion detection using Chimp Optimization Algorithm
    Tapas Si, Dipak Kumar Patra, Sukumar Mondal, Prakash Mukherjee · 2022 · Expert Systems with Applications
18. A hybrid approach for lung cancer diagnosis using optimized random forest classification and K-means visualization algorithm
    Ananya Bhattacharjee, R. Murugan, Tripti Goel · 2022 · Health and Technology
19. Clinical implementation of artificial intelligence in neuroradiology with development of a novel workflow-efficient picture archiving and communication system-based automated brain tumor segmentation and radiomic feature extraction
    Mariam Aboian, Khaled Bousabarah, Eve Kazarian, Tal Zeevi, Wolfgang Holler, Sara Merkaj, Gabriel Cassinelli Petersen, Ryan C. Bahar, Harry E. Subramanian, Pranay Sunku et al. · 2022 · Frontiers in Neuroscience
20. A simple texture feature for retrieval of medical images
    Rushi Lan, Si Zhong, Zhenbing Liu, Zhuo Shi, Xiaonan Luo · 2017 · Multimedia Tools and Applications
21. A deep learning model based on whole slide images to predict disease-free survival in cutaneous melanoma patients
    Comes, Maria Colomba, Fucci, Livia, Mele, Fabio, Bove, Samantha, Cristofaro, Cristian, De Risi, Ivana, Fanizzi, Annarita, Milella, Martina, Strippoli, Sabino, Zito, Alfredo et al. · 2022 · Scientific Reports
22. CT image super-resolution reconstruction based on global hybrid attention
    Jianning Chi, Zhiyi Sun, Huan Wang, Pengfei Lyu, Xiaosheng Yu, Chengdong Wu · 2022 · Computers in Biology and Medicine
23. Radiomics feature analysis and model research for predicting histopathological subtypes of non‐small cell lung cancer on CT images: A multi‐dataset study
    Fan Song, Xiao Song, Youdan Feng, Guangda Fan, Yangyang Sun, Peng Zhang, Jinkai Li, Fei Liu, Guanglei Zhang · 2023 · Medical Physics
24. A Competition, Benchmark, Code, and Data for Using Artificial Intelligence to Detect Lesions in Digital Breast Tomosynthesis
    Nicholas Konz, Mateusz Buda, Hanxue Gu, Ashirbani Saha, Jichen Yang, Jakub Chłędowski, Jungkyu Park, Jan Sylwester Witowski, Krzysztof J. Geras, Yoel Shoshan et al. · 2023 · JAMA Network Open
25. Multi-institutional PET/CT image segmentation using federated deep transformer learning
    Isaac Shiri, Behrooz Razeghi, Alireza Vafaei Sadr, Mehdi Amini, Yazdan Salimi, Sohrab Ferdowsi, Peter Boor, Denız Gündüz, Slava Voloshynovskiy, Habib Zaidi · 2023 · Computer Methods and Programs in Biomedicine
26. Artificial general intelligence for radiation oncology
    Chenbin Liu, Zhengliang Liu, Jason Holmes, Lu Zhang, Lian Zhang, Yuzhen Ding, Peng Shu, Zihao Wu, Haixing Dai, Yiwei Li et al. · 2023 · Meta-Radiology
27. Contemporary prognostic signatures and refined risk stratification of gliomas: An analysis of 4400 tumors
    Hia S. Ghosh, Ruchit V. Patel, E. L. Woodward, Noah F. Greenwald, Varun M. Bhave, Eduardo A. Maury, Gregory Cello, Samantha E. Hoffman, Yvonne Y. Li, Hersh V. Gupta et al. · 2024 · Neuro-Oncology
28. NCI’s Proteomic Data Commons: A Cloud-Based Proteomics Repository Empowering Comprehensive Cancer Analysis through Cross-Referencing with Genomic and Imaging Data
    Ratna Rajesh Thangudu, Michael Holck, Deepak Singhal, Alexander R. Pilozzi, Nathan J Edwards, Paul A. Rudnick, Marcin Jakub Domagalski, Padmini Chilappagari, Lei Ma, Yi Xin et al. · 2024 · Cancer Research Communications
29. Enhanced Lung Cancer Detection and TNM Staging Using YOLOv8 and TNMClassifier: An Integrated Deep Learning Approach for CT Imaging
    Alaa Wehbe, Silvana Dellepiane, Irene Minetti · 2024 · IEEE Access
30. Imaging Biobanks in Oncology: European Perspective
    Emanuele Neri, Daniele Regge · 2016 · Future Oncology
31. A volumetric technique for fossil body mass estimation applied to Australopithecus afarensis
    Charlotte Brassey, Thomas O'mahoney, Andrew T. Chamberlain, William I. Sellers · 2017 · Journal of Human Evolution
32. Ventricular-Subventricular Zone Contact by Glioblastoma is Not Associated with Molecular Signatures in Bulk Tumor Data
    Akshitkumar M. Mistry, David J. Wooten, L. Taylor Davis, Bret C. Mobley, Vito Quaranta, Rebecca A. Ihrie · 2019 · Scientific Reports
33. Class-Aware Adversarial Lung Nodule Synthesis In CT Images
    Jie Yang, Siqi Liu, Saša Grbić, Arnaud A. A. Setio, Zhoubing Xu, Eli Gibson, Guillaume Chabin, Bogdan Georgescu, Andrew F. Laine, Dorin Comaniciu · 2019 · IEEE International Symposium on Biomedical Imaging (ISBI)
34. A Radiogenomic Approach for Decoding Molecular Mechanisms Underlying Tumor Progression in Prostate Cancer
    Sarah Fischer, Mohamed Tahoun, Bastian Klaan, Kolja M. Thierfelder, Marc‐André Weber, Bernd Joachim Krause, Oliver W. Hakenberg, Georg Fuellen, Mohamed Hamed · 2019 · Cancers
35. Call for Data Standardization: Lessons Learned and Recommendations in an Imaging Study
    Amrita Basu, Denise Warzel, Aras Eftekhari, Justin Kirby, John Freymann, Janice Knable, Ashish Sharma, Paula M. Jacobs · 2019 · JCO Clinical Cancer Informatics
36. Towards Personalized Diagnosis of Glioblastoma in Fluid-Attenuated Inversion Recovery (FLAIR) by Topological Interpretable Machine Learning
    Matteo Rucco, Giovanna Viticchi, Lorenzo Falsetti · 2020 · Mathematics
37. Single-cell Spatial Proteomic Revelations on the Multiparametric MRI Heterogeneity of Clinically Significant Prostate Cancer
    Russell Kent Pachynski, Eric H. Kim, Natalia Miheecheva, Nikita Kotlov, Akshaya Ramachandran, Ekaterina Postovalova, Ilia Galkin, Viktor Svekolkin, Yang Lyu, Qiong Zou et al. · 2021 · Clinical Cancer Research
38. Robust, imperceptible and optimized watermarking of DICOM image using Schur decomposition, LWT-DCT-SVD and its authentication using SURF
    Divyanshu Awasthi, Vinay Kumar Srivastava · 2022 · Multimedia Tools and Applications
39. Inconsistent Partitioning and Unproductive Feature Associations Yield Idealized Radiomic Models
    Mishka Gidwani, Ken Chang, Jay Patel, Katharina Hoebel, Syed Rakin Ahmed, Praveer Singh, Clifton David Fuller, Jayashree Kalpathy–Cramer · 2022 · Radiology
40. Overview of the American Society for Radiation Oncology–National Institutes of Health–American Association of Physicists in Medicine Workshop 2015: Exploring Opportunities for Radiation Oncology in the Era of Big Data
    Stanley Benedict, Karen Elizabeth Hoffman, Mary K. Martel, Amy P. Abernethy, Anthony L. Asher, Jacek Capala, R. C. Chen, Bhisham S. Chera, Jennifer Couch, James A. Deye et al. · 2016 · International Journal of Radiation Oncology*Biology*Physics
41. Towards CT-quality Ultrasound Imaging using Deep Learning
    Sanketh Vedula, Ortal Yona Senouf, Alexander M. Bronstein, Oleg Michailovich, Michael Zibulevsky · 2017 · arXiv (Cornell University)
42. A DICOM dataset for evaluation of medical image de-identification
    Michael Rutherford, Seong K. Mun, Betty A. Levine, William Bennett, Kirk Smith, Phillip Farmer, Quasar Jarosz, Ulrike Wagner, John Freymann, Geri Blake et al. · 2021 · Scientific Data
43. Anatomy-aware and acquisition-agnostic joint registration with SynthMorph
    Malte Hoffmann, Andrew Hoopes, Douglas N. Greve, Bruce R. Fischl, Adrian Vasile Dalca · 2024 · Imaging Neuroscience
44. Artificial intelligence-based digital pathology using H&E-stained whole slide images in immuno-oncology: from immune biomarker detection to immunotherapy response prediction
    Jessica Zhang, Horyun Choi, Yeseul Kim, Jonghanne Park, Sukjoo Cho, Eugene Kim, Allen Cho, Ju Young Lee, Jaeyoun Choi, Christmann Low et al. · 2025 · Journal for ImmunoTherapy of Cancer
45. Leveraging explainable artificial intelligence for transparent and trustworthy cancer detection systems
    Shiva Toumaj, Arash Heidari, Nima Jafari Navimipour · 2025 · Artificial Intelligence in Medicine
46. Using Deep Learning for Pulmonary Nodule Detection & Diagnosis
    Richard R. Gruetzemacher, Ashish Gupta · 2016 · Americas Conference on Information Systems
47. 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
48. Bronchus Segmentation and Classification by Neural Networks and Linear Programming
    Tianyi Zhao, Zhaozheng Yin, Jiao Wang, Dashan Gao, Yunqiang Chen, Yunxiang Mao · 2019 · Lecture notes in computer science
49. Prognostic value of anthropometric measures extracted from whole-body CT using deep learning in patients with non-small-cell lung cancer
    Paul Blanc‐Durand, Luca Campedel, Sebastien Mulé, Simon Jégou, Alain Luciani, Frederic Pigneur, Emmanuel Itti · 2020 · European Radiology
50. FAIR‐compliant clinical, radiomics and DICOM metadata of RIDER, interobserver, Lung1 and head‐Neck1 TCIA collections
    Petros Kalendralis, Zhenwei Shi, Alberto Traverso, Ananya Choudhury, Matthijs Sloep, Ivan Zhovannik, Martijn P. A. Starmans, Detlef Grittner, Peter Feltens, René Monshouwer et al. · 2020 · Medical Physics
51. Deep Learning Based Approach for Multiple Myeloma Detection
    M.T. Vyshnav, V. Sowmya, E. A. Gopalakrishnan, V. V. Sajith Variyar, Vijay Menon, P. Soman K · 2020 · International Conference on Computing, Communication and Networking Technologies (ICCCNT)
52. An efficient image segmentation and classification of lung lesions in pet and CT image fusion using DTWT incorporated SVM
    R. Mohana Priya, P. Venkatesan · 2021 · Microprocessors and Microsystems
53. Learnable image histograms-based deep radiomics for renal cell carcinoma grading and staging
    Mohammad Arafat Hussain, Ghassan Hamarneh, Rafeef Garbi · 2021 · Computerized Medical Imaging and Graphics
54. Stability and Reproducibility of Radiomic Features Based Various Segmentation Technique on MR Images of Hepatocellular Carcinoma (HCC)
    Nurin Syazwina Mohd Haniff, Muhammad Khalis Abdul Karim, Nurul Huda Osman, M. Iqbal Saripan, Iza Nurzawani Che Isa, Mohammad Johari Ibahim · 2021 · Diagnostics
55. CARes‐UNet: Content‐aware residual UNet for lesion segmentation of COVID‐19 from chest CT images
    Xinhua Xu, Yuhang Wen, Lu Zhao, Yi Zhang, Youjun Zhao, Zixuan Tang, Ziduo Yang, Calvin Yu‐Chian Chen · 2021 · Medical Physics
56. Deep learning model for automatic contouring of cardiovascular substructures on radiotherapy planning CT images: Dosimetric validation and reader study based clinical acceptability testing
    Miguel Garrett Fernandes, Johan Bussink, Barbara Stam, Robin Wijsman, Dominic A.X. Schinagl, René Monshouwer, Jonas Teuwen · 2021 · Radiotherapy and Oncology
57. A review on advances in 18F-FDG PET/CT radiomics standardisation and application in lung disease management
    Noushin Anan, Rafidah Zainon, Mahbubunnabi Tamal · 2022 · Insights into Imaging
58. Application of Genetic Algorithm and U-Net in Brain Tumor Segmentation and Classification: A Deep Learning Approach
    Muhammad Arif, Anupama Jims, F. Ajesh, Oana Geman, Maria Daniela Crăciun, Florin Valentin Leuciuc · 2022 · Computational Intelligence and Neuroscience
59. A pathomic approach for tumor-infiltrating lymphocytes classification on breast cancer digital pathology images
    Mario Verdicchio, Valentina Brancato, Carlo Cavaliere, Francesco Isgrò, Marco Salvatore, Marco Aiello · 2023 · Heliyon
60. Tensor-RT-Based Transfer Learning Model for Lung Cancer Classification
    Vidhi Bishnoi, Nidhi Goel · 2023 · Journal of Imaging Informatics in Medicine
61. Uncontrolled confounders may lead to false or overvalued radiomics signature: a proof of concept using survival analysis in a multicenter cohort of kidney cancer
    Lu, Lin, Ahmed, Firas S., Akin, Oguz, Luk, Lyndon, Guo, Xiaotao, Yang, Hao, Yoon, Jin, Hakimi, A. Aari, Schwartz, Lawrence H., Zhao, Binsheng · 2021 · Frontiers in Oncology
62. Evaluation of Semiautomatic and Deep Learning–Based Fully Automatic Segmentation Methods on [18F]FDG PET/CT Images from Patients with Lymphoma: Influence on Tumor Characterization
    Cláudia S. Constantino, Sónia Leocádio, Francisco P. M. Oliveira, Mariana Silva, Carla Oliveira, Joana C. Castanheira, Ângelo Silva, Sofia Carrilho Vaz, Ricardo Jorge Valpaços Teixeira, Manuel L Neves et al. · 2023 · Journal of Imaging Informatics in Medicine
63. Multiple image watermarking with dual authentication for smart and safe city environment
    Divyanshu Awasthi, Vinay Kumar Srivastava · 2023 · Multimedia Tools and Applications
64. Volumetric tumor tracking from a single cone-beam X-ray projection image enabled by deep learning
    Jingjing Dai, Guoya Dong, Chulong Zhang, Wenfeng He, Lin Liu, Tangsheng Wang, Yuming Jiang, Wei Zhao, Xiang Jun Zhao, Yaoqin Xie et al. · 2023 · Medical Image Analysis
65. A brain tumor segmentation enhancement in MRI images using U-Net and transfer learning
    Amin Pourmahboubi, Nazanin Arsalani Saeed, Hamed Tabrizchi · 2025 · BMC Medical Imaging
66. Automatic Detection and Staging of Lung Tumors using Locational Features and Double-Staged Classifications
    May Phu Paing, Kazuhiko Hamamoto, S. Tungjitkusolmun, Chuchart Pintavirooj · 2019 · Applied Sciences
67. Textural radiomic features and time-intensity curve data analysis by dynamic contrast-enhanced MRI for early prediction of breast cancer therapy response: preliminary data
    Roberta Fusco, Vincenza Granata, Francesca Maio, Mario Sansone, Antonella Petrillo · 2020 · European Radiology Experimental
68. 4D strategies for lung tumors treated with hypofractionated scanning proton beam therapy: Dosimetric impact and robustness to interplay effects
    Edoardo Mastella, Silvia Molinelli, Andrea Pella, Alessandro Vai, Davide Maestri, Viviana Vitolo, Guido Baroni, Francesca Valvo, Mario Ciocca · 2020 · Radiotherapy and Oncology
69. T2-FDL: A robust sparse representation method using adaptive type-2 fuzzy dictionary learning for medical image classification
    Majid Ghasemi, Manoochehr Kelarestaghi, Farshad Eshghi, Arash Sharifi · 2020 · Expert Systems with Applications
70. A learning-based method for online adjustment of C-arm Cone-beam CT source trajectories for artifact avoidance
    Mareike Thies, Jan-Nico Zaech, Cong Gao, Russell H. Taylor, Nassir Navab, Andreas Maier, Mathias Unberath · 2020 · International Journal of Computer Assisted Radiology and Surgery
71. Design and Experimental Verification of 434 MHz Phased Array Applicator for Hyperthermia Treatment of Locally Advanced Breast Cancer
    Divya Baskaran, Kavitha Arunachalam · 2020 · IEEE Transactions on Antennas and Propagation
72. Predictive Value of Temporal Muscle Thickness Measurements on Cranial Magnetic Resonance Images in the Prognosis of Patients With Primary Glioblastoma
    Fang Liu, Dong Ming Xing, Yunfei Zha, Li Wang, Wei Dong, Liang Li, Wei Gong, Lei Hu · 2020 · Frontiers in Neurology
73. Development and external validation of a non-invasive molecular status predictor of chromosome 1p/19q co-deletion based on MRI radiomics analysis of Low Grade Glioma patients
    Roberto Casale, Elizaveta Lavrova, Sebastian Sanduleanu, Henry C. Woodruff, Philippe Lambin · 2021 · European Journal of Radiology
74. Light-weighted ensemble network with multilevel activation visualization for robust diagnosis of COVID19 pneumonia from large-scale chest radiographic database
    Muhammad Owais, Hyo Sik Yoon, Tahir Mahmood, Adnan Haider, Haseeb Sultan, Kang Ryoung Park · 2021 · Applied Soft Computing
75. Training and Validation of Deep Learning-Based Auto-Segmentation Models for Lung Stereotactic Ablative Radiotherapy Using Retrospective Radiotherapy Planning Contours
    Jordan Wong, Vicky Huang, Joshua Giambattista, Tony Teke, Carter Kolbeck, Jonathan Giambattista, Siavash Atrchian · 2021 · Frontiers in Oncology
76. Developing and validating a deep learning and radiomic model for glioma grading using multiplanar reconstructed magnetic resonance contrast-enhanced T1-weighted imaging: a robust, multi-institutional study
    Jialin Ding, Rubin Zhao, Qingtao Qiu, Jinhu Chen, Jinghao Duan, Xiujuan Cao, Yin Yong · 2021 · Quantitative Imaging in Medicine and Surgery
77. Narrative online guides for the interpretation of digital-pathology images and tissue-atlas data
    Rumana Rashid, Yu‐An Chen, John Hoffer, Jeremy L. Muhlich, Jia‐Ren Lin, Robert Krueger, Hanspeter Pfister, Richard N. Mitchell, Sandro Santagata, Peter Karl Sorger · 2021 · Nature Biomedical Engineering
78. Prior-aware autoencoders for lung pathology segmentation
    Mehdi Astaraki, Örjan Smedby, Chunliang Wang · 2022 · Medical Image Analysis
79. A state-of-the-art technique to perform cloud-based semantic segmentation using deep learning 3D U-Net architecture
    Zeeshan Shaukat, Qurat ul Ain Farooq, Shanshan Tu, Chuangbai Xiao, Saqib Ali · 2022 · BMC Bioinformatics
80. Deep Learning Approaches for Automatic Localization in Medical Images
    Haya Alaskar, A. Hussain, Bandar Almaslukh, Thavavel Vaiyapuri, Zohra Sbaï, Arun Kumar Dubey · 2022 · Computational Intelligence and Neuroscience
81. A Medical Image Encryption Scheme for Secure Fingerprint-Based Authenticated Transmission
    Francesco Castro, Donato Impedovo, Giuseppe Pirlo · 2023 · Applied Sciences
82. PlatiPy: Processing Library and Analysis Toolkit for Medical Imaging in Python
    Phillip Chlap, Robert Finnegan · 2023 · The Journal of Open Source Software
83. A novel MRI-based deep learning networks combined with attention mechanism for predicting CDKN2A/B homozygous deletion status in IDH-mutant astrocytoma
    Liqiang Zhang, Rui Wang, Jueni Gao, Yi Ping Tang, Xinyi Xu, Yubo Kan, Xu Cao, Zhipeng Wen, Zhi Liu, Shaoguo Cui et al. · 2023 · European Radiology
84. Development of a Machine-Learning System to Classify Lung CT Scan Images into Normal/COVID-19 Class
    Seifedine Kadry, Venkatesan Rajinikanth, Seungmin Rho, Nadaradjane Sri Madhava Raja, V. Seshagiri Rao, Thanaraj, Krishnan Palani · 2020 · arXiv (Cornell University)
85. Standardised convolutional filtering for radiomics
    Adrien Depeursinge, Vincent Andrearczyk, P. Whybra, Joost J. M. van Griethuysen, Henning Müller, Roger Schaer, Martin Vallières, Alex Zwanenburg · 2020 · arXiv (Cornell University)
86. Role of AI in empowering and redefining the oncology care landscape: perspective from a developing nation
    Goel, Isha, Bhaskar, Yogendra, Kumar, Nand, Singh, Sunil, Amanullah, Mohammed, Dhar, Ruby, Karmakar, Subhradip · 2025 · Frontiers in Digital Health
87. Sharing Data Is Essential for the Future of AI in Medical Imaging
    Bell, Laura C., Shimron, Efrat · 2024 · Radiology: Artificial Intelligence
88. Feature fusion Siamese network for breast cancer detection comparing current and prior mammograms
    Jun Bai, Annie Jin, Tianyu Wang, Clifford Yang, Sheida Nabavi · 2022 · Medical Physics
89. Stable and Discriminatory Radiomic Features from the Tumor and Its Habitat Associated with Progression-Free Survival in Glioblastoma: A Multi-Institutional Study
    Ruchika Verma, Virginia B. Hill, Volodymyr Statsevych, Kaustav Bera, Ramón Correa, Patrick Leo, Manmeet Singh Ahluwalia, Anant Madabhushi, Pallavi Tiwari · 2022 · American Journal of Neuroradiology
90. Artifact Detection and Restoration in Histology Images With Stain-Style and Structural Preservation
    Jing Ke, Kai Liu, Yuxiang Sun, Xue Yuying, Jiaxuan Huang, Yizhou Lu, Jun Dai, Yaobing Chen, Xiaodan Han, Yiqing Shen et al. · 2023 · IEEE Transactions on Medical Imaging
91. An Optimized and Secured Image Watermarking and Its Dual Authentication for Internet of Medical Things
    Divyanshu Awasthi, Vinay Kumar Srivastava · 2023 · Circuits Systems and Signal Processing
92. The University of California San Francisco Brain Metastases Stereotactic Radiosurgery (UCSF-BMSR) MRI Dataset
    Jeffrey D. Rudie, Rachit Saluja, David A Weiss, Pierre Nedelec, Evan Calabrese, John B. Colby, Benjamin A. Laguna, John Mongan, Steve E. Braunstein, Christopher Paul Hess et al. · 2024 · Radiology Artificial Intelligence
93. How Will Big Data Improve Clinical and Basic Research in Radiation Therapy?
    Barry S. Rosenstein, Jacek Capala, Jason Alexander Efstathiou, Jeff Hammerbacher, Sarah L. Kerns, Feng‐Ming Kong, Harry Ostrer M. D, Fred Prior, Bhadrasain Vikram, John W. Wong et al. · 2015 · International Journal of Radiation Oncology*Biology*Physics
94. Automatic interstitial photodynamic therapy planning via convex optimization
    Abdul‐Amir Yassine, William Kingsford, Yiwen Xu, Jeffrey A. Cassidy, Lothar D. Lilge, Vaughn Betz · 2018 · Biomedical Optics Express
95. Analysis of Vestibular Labyrinthine Geometry and Variation in the Human Temporal Bone
    Lejo Johnson Chacko, Dominik Schmidbauer, Stephan Handschuh, Alen Reka, Karl David Fritscher, Patrik Raudaschl, Rami Saba, Michael S. Handler, Peter P. Schier, Daniel Baumgarten et al. · 2018 · Frontiers in Neuroscience
96. Combined low-dose simulation and deep learning for CT denoising: application in ultra-low-dose chest CT
    Chulkyun Ahn, Changyong Heo, Jong Hyo Kim · 2019 · International Forum on Medical Imaging in Asia (IFMIA)
97. Computed Tomography (CT) Image Quality Enhancement via a Uniform Framework Integrating Noise Estimation and Super-Resolution Networks
    Jianning Chi, Yifei Zhang, Xiaosheng Yu, Ying Wang, Chengdong Wu · 2019 · Sensors
98. Homological radiomics analysis for prognostic prediction in lung cancer patients
    Kenta Ninomiya, Hidetaka Arimura · 2019 · Physica Medica
99. Efficiency of machine learning algorithms and convolutional neural network for detection of pathological changes in MR images of the brain
    Yu.D. Agafonova, Andrey Gaidel, IPSI RAS – Branch of the FSRC “Crystallography and Photonics” RAS, P. M. Zelter, А.V. Kapishnikov · 2020 · Computer Optics
100. Glioma Classification Using Deep Radiomics
     Subhashis Banerjee, Sushmita Mitra, Francesco Masulli, Stefano Rovetta A · 2020 · SN Computer Science