NiftyNet: a deep-learning platform for medical imaging

Gibson, Eli, Li, Wenqi, Sudre, Carole, Fidon, Lucas, Shakir, Dzhoshkun I., Wang, Guotai, Eaton-Rosen, Zach, Gray, Robert, Doel, Tom, Hu, Yipeng, Whyntie, Tom, Nachev, Parashkev, Modat, Marc, Barratt, Dean C., Ourselin, Sébastien, Cardoso, M. Jorge, Vercauteren, Tom·2018·Computer Methods and Programs in Biomedicine
DOI 10.1016/j.cmpb.2018.01.025

Cited by (550)

Items 501–550 of 550

  1. Clinical Application of Medical Imaging in Neurointerventional Treatment of Brain Diseases
    Qidong Wu, Zongliang Wu, Lei Zhang, Haiyang Wang · 2021 · Journal of Medical Imaging and Health Informatics
  2. El proyecto de ley de cooperativas de la comunidad valenciana
    Francisco Vicent Chuliá · 1985 · Revista valenciana d'estudis autonòmics
  3. Pulmonary Image Analysis with Computer Vision Using Binary Classification Method for COVID-19 Detection
    Shanker Ram, Samiappan Dhanalakshmi · 2022 · Lecture notes in networks and systems
  4. An Improved Kidney Tumor Prediction Using Deep Convolutional Neural Network-Restricted Boltzmann Machine Technique in Medical Image Segmentation
    P. Ravikumaran, K. Vimala Devi, K. Valarmathi · 2021 · Journal of Medical Imaging and Health Informatics
  5. APPLICATIONS OF DEEP LEARNING TO IMPROVE THE QUALITY OF HEALTHCARE OUTCOMES
    Abdulrhman Samman Al-Asmari · 2022 · International Journal for Quality Research
  6. Effect of Motion Correction for CCTA in Quantifying the Pericoronary Adipose Tissue
    Youbiao Guo, Hongchao Fu, Xiaohua Yin, Dan Han, Shengxiang Liang, Kaiyi Liang · 2022 · Research Square
  7. A Modified Deep Convolutional Neural Network for Brian Abnormalities Detection
    Aneesh Perumprath, R. Arun, Vishnu Raj · 2020 · SSRN Electronic Journal
  8. Transfer Learning-Based Convolutional Neural Network Image Recognition Method for Plant Leaves
    2020 · International Journal of Circuits Systems and Signal Processing
  9. How the Oxynet Web Applications are Used to Crowdsource and Interpret Cardiopulmonary Exercising Tests Data
    Andrea Zignoli, Alessandro Fornasiero, Federica Gilli, Barbara Pellegrini, Federico F. Schena · 2022 · SSRN Electronic Journal
  10. Direct Ki PATLAK Generation without Using the Input Function Guided by Deep-Learning Methods
    Neda Zaker, Kamal Hadad, Reza Faghihi, Hossein Arabi, Habib Zaidi · 2021 · IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)
  11. Data Mining Technology Based Targeted Funding AI System for the Poor College Students
    Yang Li · 2022 · IEEE International Conference on Computation, Big-Data and Engineering (ICCBE)
  12. Brain Tumor Detection using Convolution Neural Network
    Ms. A. Sujatha Reddy, G Vikram, M Sathya, M Mahamathi · 2022 · International Journal of Advanced Research in Science Communication and Technology
  13. 3D U-Net based method for fast segmentation of whole heart from CT images
    Filip Novoselnik, Hrvoje Leventić, Irena Galić, Danilo Babin · 2022 · International Symposium ELMAR (ELMAR)
  14. Dual segmentation models for poorly and well-differentiated hepatocellular carcinoma using two-step transfer deep learning on dynamic contrast-enhanced CT images
    Noriyuki Nagami, Hidetaka Arimura, Junichi Nojiri, Cui Yunhao, Kenta Ninomiya, Manabu Ogata, Mitsutoshi Oishi, Ohira Keiichi, Shigetoshi Kitamura, Hiroyuki Irié · 2022 · Physical and Engineering Sciences in Medicine
  15. Regional Deep Atrophy: a Self-Supervised Learning Method to Automatically Identify Regions Associated With Alzheimer's Disease Progression From Longitudinal MRI
    Mengjin Dong, Long Xie, Sandhitsu R. Das, Jiancong Wang, Laura E.M. Wisse, Robin de Florès, David A. Wolk, Paul A. Yushkevich · 2023 · PubMed
  16. An End-to-End Embedded Neural Architecture Search and Model Compression Framework for Healthcare Applications and Use-Cases
    Bharath Srinivas Prabakaran, Muhammad Shafique · 2023 · Springer eBooks
  17. Brain Tumour—Augmentation, Segmentation and Classification Using Deep Learning—A Review
    R K Bhuyan, G. C. Nandi · 2023 · Lecture notes in electrical engineering
  18. RETRACTED: Evaluation of the prostate cancer and its metastases in the 68-Ga-PSMA PET/CT images: deep learning method vs. conventional PET/CT processing
    Masoumeh Dorri Giv, Hosein Arabi, Raheleh Tabari Juybari, Leila Alipour Firouzabad, Hossein Akbari‐Lalimi, Atena Aghaei, Amir Hossein Dabbagh, Zahra Bakhshi Golestani, Vahid Reza Dabbagh Kakhki · 2023 · Research Square · Retracted
  19. A Machine Learning Pipeline and Application for Automatic Classification of Clinical Documents
    Et al. G Uday Kiran · 2023 · International Journal on Recent and Innovation Trends in Computing and Communication
  20. Fetal Organ Anomaly Identification, Segmentation, and Optimized Data Augmentation
    Justin Lo · 2024
  21. PET Images Enhancement Using Deep Training of Reconstructed Images with Bayesian Penalized Likelihood Algorithm
    Ali Ghafari, Mahsa Shahrbabaki Mofrad, Nima Kasraie, Mohammad Reza Ay, Negisa Seyyedi, Peyman Sheikhzadeh · 2024 · Journal of Medical and Biological Engineering
  22. CVD_Net: Head and Neck Tumor Segmentation and Generalization in PET/CT Scans Across Data from Multiple Medical Centers
    Nchongmaje Ndipenoch, Alina Miron, Kezhi Wang, Zhan Shu, Yongmin Li · 2024 · Lecture notes in computer science
  23. Brain tumour detection using deep learning technique
    R. Meena, Shaik Sharmila, E. Sheela, K. Thamizharasi · 2024 · i-manager’s Journal on Pattern Recognition
  24. Advancement in brain tumour detection using deep learning technique
    R. Meena, Shaik Sharmila, E. Sheela, K. Thamizharasi · 2024 · i-manager’s Journal on Image Processing
  25. A novel boosted ada-boost classifier for MRI-based brain tumour detection
    E. Francy Irudaya Rani, T. Lurthu Pushparaj, E. Fantin Irudaya Raj, M. Appadurai · 2024 · Multimedia Tools and Applications
  26. From Voxels to Viruses: Using Deep Learning and Crowdsourcing to Understand a Virus Factory
    Avery Pennington, Oliver N. F. King, Win Min Tun, Mark Boyce, Geoff C. Sutton, David Ian Stuart, Mark Basham, Michele C. Darrow · 2024 · Citizen Science Theory and Practice
  27. Deep Learning for Oral Cancer: Enhanced Regression Based Convolution Neural Network with Dropout Technique
    A. Raheel, Deshao Liu, Oday D. Jerew, Omar Hisham Alsadoon, Abeer Alsadoon · 2024 · Lecture notes in electrical engineering
  28. Exploring The Efficacy of Multi-modal LLM In Endometrial Cancer Diagnosis
    B. S Sumitha, Mohammed Tajuddin · 2024 · International Conference on Innovation and Novelty in Engineering and Technology (INNOVA)
  29. Platform for Automated Assessment of Obstetric Ultrasounds, Using Machine Learning
    Jonathan Sánchez Luna, Arnulfo Alanís, Efrain Patiñό, Bogart Yail Márquez · 2025 · Smart innovation, systems and technologies
  30. Deep Learning Techniques for Medical Image Segmentation
    Vishal Kumar Jain, Archan Mitra · 2025 · Advances in computational intelligence and robotics book series
  31. A Feature-Driven Acquisition Strategy Using Scale-Invariant Descriptors for Deep Active Learning in Preclinical CT Segmentation
    Faye Warren, Stephen J. Paisey, Emiliano Spezi, Yu‐Kun Lai, Rhodri Smith · 2025 · Lecture notes in computer science
  32. ResMAP: Restoring MRIs of Mixed Artifacts by Prompt Cascading Retrieval
    Yuxian Tang, Feng Li, Feng Shi, Qian Wang · 2025 · Lecture notes in computer science
  33. A Systematic Mapping Study on Brain Tumor Segmentation Based on Machine Learning Algorithms
    Sherko H. Murad, Hazhar M. Ahmed · 2025 · Emerging technologies and engineering journal.
  34. Deep learning techniques in neuroimaging
    Nataša Kovač, Marko Simeunović, Hojjatollah Farahani, Peter Watson · 2025 · Elsevier eBooks
  35. Additional file 1 of Automatic segmentation of human knee anatomy by a convolutional neural network applying a 3D MRI protocol
    Carl Petter Skaar Kulseng, Nainamalai, Varatharajan, Endre Grøvik, Geitung, Jonn-Terje, Asbjørn Årøen, Kjell Inge Gjesdal · 2024 · Figshare
  36. RSTnet: A Residual Hybrid CNN-Transformer Model for Enhanced Multi-Organ Segmentation
    Beiqi Wang, Deyu Miao · 2025 · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics
  37. The Deep Learning Revolution in Neuroimaging: Insights from a Bibliometric Analysis (2014–2024)
    Jyotismita Chaki, Gopikrishna Deshpande · 2026 · Neuroinformatics
  38. 3D Model Application in Anatomy Education Between 2014 and 2023: A Bibliometric Analysis and Future Direction
    Nanang Wiyono, Afina Azzahrah, Siti Munawaroh, Yunia Hastami, Siti Nurma Hanim Hadie · 2026 · Clinical Anatomy
  39. Indexation bio-inspirée pour la recherche d'images par similarité
    Dorian Michaud · 2018 · theses.fr (ABES)
  40. Data driven methods to support decision making in Deep Brain Stimulation for Parkinson’s disease
    Maxime Peralta · 2020
  41. Utilisation de l'intelligence artificielle pour l'aide au diagnostic des patients atteints de pathologies neuro dégénératives
    Edouard Villain · 2021 · theses.fr (ABES)
  42. Imaging and textural analysis for kidney evaluation
    Israa Alnazer · 2021 · theses.fr (ABES)
  43. SwiftMSeg: lightweight multi-scale local–global context modeling with transformer for medical image segmentation
    Jahid Hasan Rony, Md Shakhawat Hossain, Fazlul Hasan Siddiqui · 2026 · Scientific Reports
  44. Looking beyond stereotyped neuron structures reveals links between beading and morphological rearrangements in aging phenotypes
    Kin Gomez, Kyle Nguyen, John H. Lagergren, Kevin Flores, Adriana San‐Miguel · 2026 · bioRxiv (Cold Spring Harbor Laboratory)
  45. From Fragmented Systems to Unified Workflows: a Modular Platform for DICOM Management and AI-Assisted Medical Imaging Analysis
    Andrea Vázquez‐Ingelmo, Islem Román Nieto-Campo, Francisco José García‐Peñalvo, Antonio Sánchez-Puente, Pedro Luis Sanchez · 2026 · Lecture notes in computer science
  46. An ensemble attention-based feature guidance UNet++ with customized loss for brain tumor MRI segmentation
    Sadaf Zahid, M A Wasim Akram, Cengiz Kahraman · 2026 · Biomedical Signal Processing and Control
  47. Generative and Foundation-Based Artificial Intelligence in Medical Imaging: A Bibliometric Analysis of Global and United Kingdom Research, 2017-2025
    Jatin Sridhar Naidu, Sonia Naidu, Vasanth Kumar Baskaradoss · 2026 · Cureus
  48. Leveraging Segment Anything Model for Adaptive and Accurate Medical Image Segmentation
    D. Menaka, S. Thoufeeq Ahmed, N. Syed Suhail · 2026 · Algorithms for intelligent systems
  49. Validation of Magnetic Resonance Brain Thermometry and Bioheat Modeling of Brain Temperature Using Direct Measurements With an Implanted Fiber Optic Probe
    Beini Hu, Benjamin B. Risk, Nicholas M. Boulis, Fadi B. Nahab, Jason W. Allen, Andrei G. Fedorov, Candace C. Fleischer · 2026 · Operative Neurosurgery
  50. Differential privacy-enabled federated learning for sensitive health data
    Choudhury, Olivia, Gkoulalas-Divanis, Aris, Salonidis, Theodoros, Sylla, Issa, Park, Yoonyoung, Hsu, Grace, Das, Amar · 2019 · arXiv