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Radiomics and Machine Learning in Medical Imaging

Работ: 111

  1. A framework utilizing deep learning techniques for the detection and classification of breast cancerous cells in mammographic images

    Shavkat Fazilov, Khabiba Abdieva, O.R. Yusupov +2

    СтатьяAI in cancer detectionAIP conference proceedings2024Цитирований: 13
    ABI

  2. From Anatomy to Genomics Using a Multi-Task Deep Learning Approach for Comprehensive Glioma Profiling

    Akmalbek Abdusalomov, Sabina Umirzakova, Obidjon Bekmirzaev +6

    СтатьяGlioma Diagnosis and TreatmentBioengineering2025Цитирований: 4
    ABI

  3. AI-driven multi-omics integration in precision oncology: bridging the data deluge to clinical decisions

    Chou‐Yi Hsu, Shavan Askar, Samer Saleem Alshkarchy +7

    СтатьяRadiomics and Machine Learning in Medical ImagingClinical and Experimental Medicine2025Цитирований: 3
    ABI

  4. Overcoming Barriers in Metaheuristic Neural Network Optimization for Biomedical Imaging

    S. Aarthi, R. N. Ravikumar, Madina Kalandarova +3

    ГлаваRadiomics and Machine Learning in Medical Imaging2025Цитирований: 3
    ABI

  5. Multispiral computed tomography for prostate diseases

    Хamidov Obid Abduraхmаnovich, Mirzakulov Mehriddin Mashrab ugli, Ametova Alie Servetovna +1

    СтатьяMedical Imaging Techniques and ApplicationsCENTRAL ASIAN JOURNAL OF MEDICAL AND NATURAL SCIENCES2021Цитирований: 3
    ABI

  6. Enhancing Prostate Cancer Classification by Leveraging Key Radiomics Features and Using the Fine-Tuned Linear SVM Algorithm

    Metin Varan, Jahongir Azimjonov, Bilgen Maçal

    СтатьяRadiomics and Machine Learning in Medical ImagingIEEE Access2023Цитирований: 2
    ABI

  7. Medical imaging and nuclear medicine: a Lancet Oncology Commission

    Hedvig Hricak, May Abdel–Wahab, Rifat Atun +14

    Обзорная статьяRadiomics and Machine Learning in Medical ImagingThe Lancet Oncology2021Цитирований: 2
    ABI

  8. Artificial Intelligence-Based Classification of CT Images Using a Hybrid SpinalZFNet

    Faiqa Maqsood, Wang Zhenfei, Muhammad Mumtaz Ali +6

    СтатьяArtificial Intelligence in Healthcare and EducationInterdisciplinary Sciences Computational Life Sciences2024Цитирований: 2
    ABI

  9. Comparative Study of Cell Nuclei Segmentation Based on Computational and Handcrafted Features Using Machine Learning Algorithms

    Rashadul Islam Sumon, Md Ariful Islam Mozumder, Salma Akter +4

    СтатьяAI in cancer detectionDiagnostics2025Цитирований: 2
    ABI

  10. Bridging the Gap Between Accuracy and Efficiency in AI-Based Breast Cancer Diagnosis from Histopathological Data

    Kuldashbay Avazov, Sabina Umirzakova, Akmalbek Abdusalomov +6

    СтатьяAI in cancer detectionCancers2025Цитирований: 2
    ABI

  11. A Certain Inversion Problem for the Ray Transform with Incomplete Data

    A. Begmatov

    СтатьяMedical Imaging Techniques and ApplicationsSiberian Mathematical Journal2001Цитирований: 1
    ABI

  12. Texture Analysis of CT Images in Head and Neck Tumors Differentiation

    Yu. M. Khodjibekova, Marat Khodjibekov, B. R. Akhmedov +2

    СтатьяRadiomics and Machine Learning in Medical ImagingJournal of radiology and nuclear medicine2022Цитирований: 1
    ABI

  13. Could normalization improve robustness of abdominal MRI radiomic features?

    Valentina Giannini, Jovana Panić, Daniele Regge +2

    СтатьяRadiomics and Machine Learning in Medical ImagingBiomedical Physics & Engineering Express2023Цитирований: 1
    ABI

  14. Analysis of imaging equipments of human internal organs

    Narzullo Mamatov, Pulat Sultanov, Malika Jalelova

    СтатьяAdvanced X-ray and CT ImagingInterConf2023Цитирований: 1
    ABI

  15. Lung Cancer Prediction Using the Algorithms for Calculating Estimates

    Nurmukhammad Alimkulov, Shavkat Ibragimov, Mirzaakbar Hudayberdiev +1

    СтатьяRadiomics and Machine Learning in Medical Imaging2023Цитирований: 1
    ABI

  16. Position Statements of the Emerging Trends Committee of the Asian Oceanian Society of Radiology on the Adoption and Implementation of Artificial Intelligence for Radiology

    Nicole Kessa Wee, Kim-Ann Git, Wen‐Jeng Lee +7

    Обзорная статьяArtificial Intelligence in Healthcare and EducationKorean Journal of Radiology2024Цитирований: 1
    ABI

  17. Lightweight Deep Learning Framework for Accurate Detection of Sports-Related Bone Fractures

    Akmalbek Abdusalomov, Sanjar Mirzakhalilov, Sabina Umirzakova +4

    СтатьяRadiomics and Machine Learning in Medical ImagingDiagnostics2025Цитирований: 1
    ABI

  18. From Pixels to Precision—A Dual-Stream Deep Network for Pathological Nuclei Segmentation

    Rashid Nasimov, Kudratjon Zohirov, Adilbek Dauletov +2

    СтатьяAI in cancer detectionBioengineering2025Цитирований: 1
    ABI

  19. 20. First Interim Report from the BNMS Working Party on 99Tcm-DMSA Scintigraphy

    S. Gacinovic

    СтатьяMedical Imaging Techniques and ApplicationsNuclear Medicine Communications1994Цитирований: 0
    ABI

  20. Comparison of combined PET/CT and 18F-FDG PET only in cervical cancers

    N. Nagabhushan, R. Syed, S. Gacinovic +3

    СтатьяMedical Imaging Techniques and ApplicationsNuclear Medicine Communications2004Цитирований: 0
    ABI

  21. 18F-fluorodeoxyglucose PET/CT in cancer imaging

    Peter J. Ell, Irfan Kayani, Ashley M. Groves

    Обзорная статьяMedical Imaging Techniques and ApplicationsClinical Medicine2006Цитирований: 0
    ABI

  22. 3D/4D Ultrasound Technologies in Ophthalmic Oncology

    A. Fazilov, R. Kayumova

    СтатьяOcular Oncology and TreatmentsUltrasound in Medicine & Biology2011Цитирований: 0
    ABI

  23. An Automated Method to Estimate Femoral Shape and Mineral Mass

    Danilo Pau, Xinfeng Bao, Daniele Masala +3

    СтатьяMedical Image Segmentation Techniques2012Цитирований: 0
    ABI

  24. Tumor Heterogeneity and Permeability as Measured on the CT Component of PET/CT Predict Survival in Patients with Non–Small Cell Lung Cancer

    Thida Win, Kenneth A. Miles, Sam M. Janes +9

    СтатьяRadiomics and Machine Learning in Medical ImagingClinical Cancer Research2013Цитирований: 0
    ABI

  25. replication data_kono.tab

    Daniel Yuichi Kono

    ДругоеRadiomics and Machine Learning in Medical ImagingHarvard Dataverse2013Цитирований: 0
    ABI