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 +9 more·2018·Computer Methods and Programs in Biomedicine

Cited by (550)

Items 201–300 of 550

  1. Harnessing the potential of multimodal EHR data: A comprehensive survey of clinical predictive modeling for intelligent healthcare
    Jialun Wu, Kai He, Rui Mao, Xuequn Shang, Erik Cambria · 2025 · Information Fusion
  2. Basic Ensembles of Vanilla-Style Deep Learning Models Improve Liver Segmentation From CT Images
    Ali Emre Kavur, Ludmila Ilieva Kuncheva, Mustafa Alper Selver · 2022 · CRC Press eBooks
  3. Mathematical Reconstruction of Patient-Specific Vascular Networks Based on Clinical Images and Global Optimization
    Jun-Hong Shen, Abdul Hannan Faruqi, Yifan Jiang, Nima Maftoon · 2021 · IEEE Access
  4. Spark Architecture for deep learning-based dose optimization in medical imaging
    Clémence Alla Takam, Odette Ngano Samba, Aurelle Tchagna Kouanou, Daniel Tchiotsop · 2020 · Informatics in Medicine Unlocked
  5. Integration of nested cross-validation, automated hyperparameter optimization, high-performance computing to reduce and quantify the variance of test performance estimation of deep learning models
    Paul Calle, Averi Bates, Justin C. Reynolds, Yunlong Liu, Haoyang Cui, Sinaro Ly, Chen Wang, Qinghao Zhang, Alberto J. de Armendi, Shashank S. Shettar et al. · 2025 · Computer Methods and Programs in Biomedicine
  6. Image-driven classification of functioning and nonfunctioning pituitary adenoma by deep convolutional neural networks
    Hongyu Li, Qi Zhao, Yihua Zhang, Ke Sai, Lunshan Xu, Yonggao Mou, Yubin Xie, Jian Min Ren, Xiaobing Jiang · 2021 · Computational and Structural Biotechnology Journal
  7. Advancements in Healthcare Services using Deep Learning Techniques
    Meghavi Rana, Megha Bhushan · 2022 · International Mobile and Embedded Technology Conference (MECON)
  8. Automatic segmentation method of pelvic floor levator hiatus in ultrasound using a self-normalizing neural network
    Ester Bonmati, Yipeng Hu, Nikhil Sindhwani, Hans Peter Dietz, Jan D’hooge, Dean C. Barratt, Jan A. Deprest, Tom K. Vercauteren · 2018 · Journal of medical imaging
  9. Test-time augmentation with uncertainty estimation for deep learning-based medical image segmentation
    Guotai Wang, Wenqi Li, Michaël Aertsen, Jan A. Deprest, Sebastien Ourselin A, Tom K. Vercauteren · 2018
  10. Radiomic study on preoperative multi‐modal magnetic resonance images identifies IDH ‐mutant TERT promoter‐mutant gliomas
    Haoyu Wang, Shuxin Zhang, Xiang Xing, Qiang Yue, Wentao Feng, Siliang Chen, Jun Zhang, Dan Xie, Ni Chen, Yan‐Hui Liu · 2022 · Cancer Medicine
  11. Deep Learning on Brain Cortical Thickness Data for Disease Classification
    Medhani Menikdiwela, Chuong Vinh Nguyen, Marnie Evelyn Shaw · 2018 · International Conference on Digital Image Computing: Techniques and Applications (DICTA)
  12. Evaluation of Multimodal Algorithms for the Segmentation of Multiparametric MRI Prostate Images
    Ying‐Hwey Nai, Bernice W. Teo, Nadya L. Tan, Koby Yi Wei Chua, Chun Kit Wong, Sophie O’Doherty, Mary Charlotte Stephenson, Joshua D. Schaefferkoetter, Yee Liang Thian, Edmund Chiong et al. · 2020 · Computational and Mathematical Methods in Medicine
  13. MRI‐guided attenuation correction in torso PET/MRI: Assessment of segmentation‐, atlas‐, and deep learning‐based approaches in the presence of outliers
    Hossein Arabi, Habib Zaidi · 2021 · Magnetic Resonance in Medicine
  14. Library of deep-learning image segmentation and outcomes model-implementations
    Aditya Apte, Aditi Iyer, Maria Thor, Rutu Pandya, Rabia Haq, Jue Jiang, Eve LoCastro, Amita Shukla‐Dave, N. Sasankan, Ying Xiao et al. · 2020 · Physica Medica
  15. Parts2Whole: Self-supervised Contrastive Learning via Reconstruction
    Ruibin Feng, Zongwei Zhou, Michael B. Gotway, Jianming Liang · 2020 · Lecture notes in computer science
  16. SegmentAnyBone: A universal model that segments any bone at any location on MRI
    Hanxue Gu, Roy Colglazier, Haoyu Dong, Jikai Zhang, Yaqian Chen, Zafer Yildiz, Yuwen Chen, Lin Li, Jichen Yang, Jay Willhite et al. · 2025 · Medical Image Analysis
  17. An Efficient Deep Convolutional Neural Network for Visual Image Classification
    Basma Abd El-Rahiem, Muhammad Ahmed, Omar Reyad, Hani Abd El-Rahaman, Mohammed A. Amin, Fathi Abd El-Samie · 2019 · Advances in intelligent systems and computing
  18. Large-scale investigation of deep learning approaches for ventilated lung segmentation using multi-nuclear hyperpolarized gas MRI
    Joshua Astley, Alberto M. Biancardi, Paul JC Hughes, Helen Marshall, Laurie Smith, Guilhem J. Collier, James A. Eaden, Nicholas Weatherley, Matthew Q F Hatton, Jim M. Wild et al. · 2022 · Scientific Reports
  19. The use of deep learning in medical imaging to improve spine care: A scoping review of current literature and clinical applications
    Caroline Constant, Carl‐Éric Aubin, Hilal Maradit Kremers, Diana V. Vera-Garcia, Cody C. Wyles, Pouria Rouzrokh, A. Noelle Larson · 2023 · North American Spine Society Journal (NASSJ)
  20. Automatic lung segmentation in low-dose chest CT scans using convolutional deep and wide network (CDWN)
    S. Akila Agnes, J. Anitha, James Dinesh Peter · 2018 · Neural Computing and Applications
  21. Cloud Deployment of High-Resolution Medical Image Analysis With TOMAAT
    Fausto Milletarì, Johann Frei, Moustafa Aboulatta, Gerome Vivar, Seyed‐Ahmad Ahmadi · 2018 · IEEE Journal of Biomedical and Health Informatics
  22. Geometrical Defect Detection in the Wire Electrical Discharge Machining of Fir-Tree Slots Using Deep Learning Techniques
    Jun Wang, Jose Antonio Sánchez, Jon Ander Iturrioz, Ízaro Ayesta · 2018 · Applied Sciences
  23. Imitation learning for improved 3D PET/MR attenuation correction
    Kerstin Kläser, Thomas Varsavsky, Pawel J. Markiewicz, Tom K. Vercauteren, Alexander Hammers, David Atkinson, Kris Thielemans, Brian F. Hutton, M. Jorge Cardoso, Sebastien Ourselin A · 2021 · Medical Image Analysis
  24. Advancing 3D medical image analysis with variable dimension transform based supervised 3D pre-training
    Shu Zhang, Zihao Li, Hong-Yu Zhou, Jiechao Ma, Yizhou Yu · 2023 · Neurocomputing
  25. Medical Imaging With Intelligent Systems: A Review
    Geethu Mohan, Mohan Monica Subashini · 2019 · Elsevier eBooks
  26. Automated approach for segmenting gross tumor volumes for lung cancer stereotactic body radiation therapy using CT-based dense V-networks
    Yunhao Cui, Hidetaka Arimura, Risa Nakano, Tadamasa Yoshitake, Yoshiyuki Shioyama, Hidetake Yabuuchi · 2020 · Journal of Radiation Research
  27. The Role of AI in Characterizing the DCM Phenotype
    Clint Asher, Esther Puyol Anton, Maleeha Rizvi, Bram Ruijsink, Amedeo Chiribiri, Reza Razavi, Gerry Carr‐White · 2021 · Frontiers in Cardiovascular Medicine
  28. Automated Detection of Epiretinal Membranes in OCT Images Using Deep Learning
    Yong Tang, Xiaorong Gao, Weijia Wang, Yujiao Dan, Linjing Zhou, Su Song, Jiali Wu, Hongbin Lv, Yue He · 2022 · Ophthalmic Research
  29. AI-Based Glioma Grading for a Trustworthy Diagnosis: An Analytical Pipeline for Improved Reliability
    Carla Pitarch, Vicent J. Ribas, Alfredo Vellido · 2023 · Cancers
  30. An artificial intelligence-assisted diagnosis modeling software (AIMS) platform based on medical images and machine learning: a development and validation study
    Zhiyong Zhou, Xusheng Qian, Jisu Hu, Guangqiang Chen, Caiyuan Zhang, Jianbing Zhu, Yakang Dai · 2023 · Quantitative Imaging in Medicine and Surgery
  31. Physics-Informed Brain MRI Segmentation
    Pedro Borges, Carole H. Sudre, Thomas Varsavsky, David Lee Thomas, Ivana Drobnjak, Sebastien Ourselin A, M. Jorge Cardoso · 2019 · Lecture notes in computer science
  32. ABCNet: A new efficient 3D dense‐structure network for segmentation and analysis of body tissue composition on body‐torso‐wide CT images
    Tiange Liu, Junwen Pan, Drew A. Torigian, Pengfei Xu, Qiguang Miao, Yubing Tong, Jayaram K. Udupa · 2020 · Medical Physics
  33. Deep Learning Automatic Fetal Structures Segmentation in MRI Scans with Few Annotated Datasets
    Gal Dudovitch, Daphna Link‐Sourani, Liat Ben‐Sira, Elka Miller, Dafna Ben Bashat, Leo Joskowicz · 2020 · Lecture notes in computer science
  34. Automatic Brain Tumor Segmentation by Exploring the Multi-modality Complementary Information and Cascaded 3D Lightweight CNNs
    Jun Ma, Xiaoping Yang · 2019 · Lecture notes in computer science
  35. Enhancing the estimation of fiber orientation distributions using convolutional neural networks
    Oeslle Lucena, Sjoerd B. Vos, Vejay Niranjan Vakharia, John Sidney Duncan, Keyoumars Ashkan, Rachel E. Sparks, Sebastien Ourselin A · 2021 · Computers in Biology and Medicine
  36. Open-source pipeline for multi-class segmentation of the spinal cord with deep learning
    François Paugam, Jennifer Lefeuvre, Christian S. Perone, Charley Gros, Daniel S. Reich, Pascal Sati, Julien Cohen‐Adad · 2019 · Magnetic Resonance Imaging
  37. Automatic Extraction of Hiatal Dimensions in 3-D Transperineal Pelvic Ultrasound Recordings
    Williams, Helena, Cattani, Laura, Van Schoubroeck, Dominique, Yaqub, Mohammad, Sudre, Carole, Vercauteren, Tom, D'Hooge, Jan, Deprest, Jan · 2021 · Ultrasound in Medicine & Biology
  38. Artificial intelligence in abdominal and pelvic ultrasound imaging: current applications
    Lie Cai, André Pfob · 2024 · Abdominal Radiology
  39. Medical Augmentation (Med-Aug) for Optimal Data Augmentation in Medical Deep Learning Networks
    Justin Lo, Jillian Cardinell, Alejo Costanzo, Dafna Sussman · 2021 · Sensors
  40. Deep learning-guided attenuation correction in the image domain for myocardial perfusion SPECT imaging
    Samaneh Mostafapour, Faeze Gholamiankhah, Sirwan Maroufpour, Mehdi Momennezhad, Mohsen Asadinezhad, Seyed Rasoul Zakavi, Hossein Arabi, Habib Zaidi · 2022 · Journal of Computational Design and Engineering
  41. SuRVoS 2: Accelerating Annotation and Segmentation for Large Volumetric Bioimage Workflows Across Modalities and Scales
    Avery Pennington, Oliver N. F. King, Win Min Tun, Elaine M. L. Ho, Imanol Luengo, Michele C. Darrow, Mark Basham · 2022 · Frontiers in Cell and Developmental Biology
  42. Deep Boosted Regression for MR to CT Synthesis
    Kerstin Kläser, Pawel J. Markiewicz, Marta Bianca Maria Ranzini, Wenqi Li, Marc Modat A, Brian F. Hutton, David Atkinson, Kris Thielemans, M. Jorge Cardoso, Sebastien Ourselin A · 2018 · Lecture notes in computer science
  43. Automatic Paraspinal Muscle Segmentation in Patients with Lumbar Pathology Using Deep Convolutional Neural Network
    Wenyao Xia, Maryse Fortin, Joshua Ahn, Hassan J Rivaz, Michele C. Battié, Terry M. Peters, Yiming Xiao · 2019 · Lecture notes in computer science
  44. Findings from machine learning in clinical medical imaging applications – Lessons for translation to the forensic setting
    Carlos A. Peña‐Solórzano, David W. Albrecht, Richard Bassed, Michael D. Burke, Matthew Dimmock · 2020 · Forensic Science International
  45. Assessment of deep learning-based PET attenuation correction frameworks in the sinogram domain
    Hossein Arabi, Habib Zaidi · 2021 · Physics in Medicine and Biology
  46. Truncating fined-tuned vision-based models to lightweight deployable diagnostic tools for SARS-CoV-2 infected chest X-rays and CT-scans
    Francis Jesmar P. Montalbo · 2022 · Multimedia Tools and Applications
  47. Deep Learning in Multi-organ Segmentation
    Yang Lei, Yabo Fu, Tonghe Wang, Richard L. J. Qiu, Walter John Curran, Tian Liu, Xiaofeng Yang · 2020 · arXiv (Cornell University)
  48. Deep Learning-Based Segmentation to Establish East Asian Normative Volumes Using Multisite Structural MRI
    Regina E. Y. Kim, Minho Lee, Dong Woo Kang, Sheng‐Min Wang, Nak-Young Kim, Min Kyoung Lee, Hyun Kook Lim, Donghyeon Kim · 2020 · Diagnostics
  49. Deep Learning: Convolutional Neural Networks for Medical Image Analysis - A Quick Review
    Hanan Sharif, Faisal Ur Rehman, Amina Rida · 2022 · International Conference on Digital Futures and Transformative Technologies (ICoDT2)
  50. Automatic segmentation and reconstruction of intracellular compartments in volumetric electron microscopy data
    Manca Žerovnik Mekuč, Ciril Bohak, Eva Boneš, Samo Hudoklin, Rok Romih, Matija Marolt · 2022 · Computer Methods and Programs in Biomedicine
  51. Automated Lung Segmentation from Computed Tomography Images of Normal and COVID-19 Pneumonia Patients.
    Faeze Gholamiankhah, Samaneh Mostafapour, Nouraddin Abdi Goushbolagh, Seyedjafar Shojaerazavi, Parvaneh Layegh, Seyyed Mohammad Tabatabaei, Hossein Arabi · 2022 · PubMed Central
  52. A Novel Unsupervised COVID-19 Lesion Segmentation from CT Images Based-on the Lung Tissue Detection
    Faeze Gholamiankhah, Samaneh Mostafapour, Nouraddin Abdi Goushbolagh, Seyedjafar Shojaerazavi, Hossein Arabi, Habib Zaidi · 2021 · IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)
  53. Automatic dental root CBCT image segmentation based on CNN and level set method
    Jun Ma, Xiaoping Yang · 2019 · SPIE Medical Imaging: Image Processing
  54. Improved MR to CT Synthesis for PET/MR Attenuation Correction Using Imitation Learning
    Kerstin Kläser, Thomas Varsavsky, Pawel J. Markiewicz, Tom K. Vercauteren, David Atkinson, Kris Thielemans, Brian F. Hutton, M. Jorge Cardoso, Sebastien Ourselin A · 2019 · Lecture notes in computer science
  55. An Unsupervised Approach to Ultrasound Elastography with End-to-end Strain Regularisation
    Rémi Delaunay, Yipeng Hu, Tom K. Vercauteren · 2020 · Lecture notes in computer science
  56. How to deal with Uncertainty in Machine Learning for Medical Imaging?
    Christina Gillmann, Dorothee Saur, Gerik Scheuermann · 2021 · IEEE Workshop on TRust and EXpertise in Visual Analytics (TREX)
  57. DeepImageTranslator: A free, user-friendly graphical interface for image translation using deep-learning and its applications in 3D CT image analysis
    Run Zhou Ye, Christophe Noll, Gabriel Mary Richard, Martin Lepage, Éric E. Turcotte, André C. Carpentier · 2022 · SLAS TECHNOLOGY
  58. Identification of interstitial lung diseases using deep learning
    Nidhin Raju, H. B. Anita, D. Peter Augustine · 2020 · International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering
  59. Automation Advances in Stereoelectroencephalography Planning
    Vejay Niranjan Vakharia, John Sidney Duncan · 2020 · Neurosurgery Clinics of North America
  60. Brain volumes quantification from MRI in healthy controls: Assessing correlation, agreement and robustness of a convolutional neural network-based software against FreeSurfer, CAT12 and FSL
    Hernán Chaves, Francisco Dorr, Martín Elías Costa, Mercedes Serra, Diego Fernández Slezak, Mauricio Farez, Gustavo Emilio Sevlever, Paulina Yáñez, Claudia P. Cejas · 2020 · Journal of Neuroradiology
  61. Transfer learning approach in deep neural networks for uterine fibroid detection
    Sumod Sundar, Sumathy Subramanian · 2022 · International Journal of Computational Science and Engineering
  62. A hybrid model‐ and deep learning‐based framework for functional lung image synthesis from multi‐inflation CT and hyperpolarized gas MRI
    Joshua Astley, Alberto M. Biancardi, Helen Marshall, Paul JC Hughes, Guilhem J. Collier, Matthew Q F Hatton, Jim M. Wild, Bilal Tahir · 2023 · Medical Physics
  63. Revolutionizing Breast Healthcare: Harnessing the Role of Artificial Intelligence
    Arun S. Singh, Shivani B. Paruthy, Vivek Belsariya, Nemi Chandra J, Sunil Kumar Singh, Sri Saran Manivasagam, Sushila Choudhary, M Anil Kumar, Dhananjay Khera, Vaibhav Kuraria · 2023 · Cureus
  64. BraNet: a mobil application for breast image classification based on deep learning algorithms
    Yuliana Jiménez-Gaona, María José Rodríguez-Álvarez, Darwin Castillo, Santiago García-Jaen, Diana Carrión-Figueroa, Patricio Edmundo Corral Domínguez, Vasudevan Lakshminarayanan · 2024 · Medical & Biological Engineering & Computing
  65. Summarization of COVID-19 news documents deep learning-based using transformer architecture
    Nur Hayatin, Kharisma Muzaki Ghufron, Galih Wasis Wicaksono · 2021 · TELKOMNIKA (Telecommunication Computing Electronics and Control)
  66. Conditional Segmentation in Lieu of Image Registration
    Yipeng Hu, Eli Gibson, DC Barratt, Mark Emberton, JA Noble, Tom K. Vercauteren · 2019 · Research Portal (King's College London)
  67. Automatic segmentation of pulmonary lobes on low-dose computed tomography using deep learning
    Zewei Zhang, Jialiang Ren, Xiuli Tao, Wei Tang, Shijun Zhao, Lina Zhou, Yao Huang, Jianwei Wang, Ning Wu · 2021 · Annals of Translational Medicine
  68. A Dual‐Channel Deep Learning Approach for Lung Cavity Estimation From Hyperpolarized Gas and Proton MRI
    Joshua Astley, Alberto M. Biancardi, Helen Marshall, Paul JC Hughes, Guilhem J. Collier, Laurie Smith, James A. Eaden, Rod Hughes, Jim M. Wild, Bilal Tahir · 2022 · Journal of Magnetic Resonance Imaging
  69. Implementable Deep Learning for Multi‐sequence Proton MRI Lung Segmentation: A Multi‐center, Multi‐vendor, and Multi‐disease Study
    Joshua Astley, Alberto M. Biancardi, Paul JC Hughes, Helen Marshall, Guilhem J. Collier, Ho‐Fung Chan, Laura C. Saunders, Laurie Smith, Martin L. Brook, Alfred A Roger Thompson et al. · 2023 · Journal of Magnetic Resonance Imaging
  70. Exploring deep learning for carotid artery plaque segmentation: atherosclerosis to cardiovascular risk biomarkers
    Pankaj Kumar Jain, Kalyan Tadepalli, Sudipta Roy, Neeraj Sharma · 2023 · Multimedia tools and applications
  71. Automatic Liver Segmentation Using Multi-plane Integrated Fully Convolutional Neural Networks
    Chi Wang, Hong Song, Lei Chen, Qiang Li, Jian Yang, Xiaohua Tony Hu, Le Zhang · 2018 · IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
  72. Quantifying Neurodegenerative Progression With DeepSymNet, an End-to-End Data-Driven Approach
    Danilo Peña, Arko Barman, Jessika Suescun, Xiaoqian Jiang, Mya Caryn Schiess, Luca Giancardo, the Alzheimer's Disease Neuroimaging Initiative · 2019 · Frontiers in Neuroscience
  73. A Novel Unsupervised Approach for COVID-19 Lung Lesion Detection Based on Object Completion Technique
    Samaneh Mostafapour, Faeze Gholamiankhah, Nouraddin Abdi Goushbolagh, Seyedjafar Shojaerazavi, Hossein Arabi, Habib Zaidi · 2021 · IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)
  74. Liver margin segmentation in abdominal CT images using U-Net and Detectron2: annotated dataset for deep learning models
    Mohammad Amir Sattari, Seyed Abed Zonouri, Ali Salimi, Saadat Izadi, Ali Reza Rezaei, Zahra Ghezelbash, Mohsen Hayati, Mehrdad Seifi, Milad Ekhteraei · 2025 · Scientific Reports
  75. MIScnn: A Framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning
    Dominik Müller, Frank Krämer · 2019 · Kidney Tumor Segmentation Challenge (KiTS)
  76. A 3D Fully Convolutional Neural Network With Top-Down Attention-Guided Refinement for Accurate and Robust Automatic Segmentation of Amygdala and Its Subnuclei
    Yilin Liu, Brendon M. Nacewicz, Gengyan Zhao, Nagesh Adluru, Gregory R. Kirk, Peter A. Ferrazzano, Martin Andreas Styner, Andrew L. Alexander · 2020 · Frontiers in Neuroscience
  77. An Unsupervised Approach to Ultrasound Elastography with End-to-end Strain Regularisation
    Rémi Delaunay, Yipeng Hu, Tom K. Vercauteren · 2020 · UCL Discovery (University College London)
  78. Fusion Siamese network with drift correction for target tracking in ultrasound sequences
    Chan Wu, Tianyu Fu, Yifan Wang, Yucong Lin, Yan Wang, Danni Ai, Jingfan Fan, Hong Song, Jian Yang · 2022 · Physics in Medicine and Biology
  79. Automated MSCT Analysis for Planning Left Atrial Appendage Occlusion Using Artificial Intelligence
    Kilian Michiels, Eva Heffinck, Patricio Astudillo, Ivan Wong, Peter Mortier, Alessandra Maria Bavo · 2022 · Journal of Interventional Cardiology
  80. A Review on Personalized Pediatric Dosimetry Applications Using Advanced Computational Tools
    Panagiotis Papadimitroulas, Θεοδώρα Κωστού, Konstantinos Chatzipapas, Dimitris Visvikis, Konstantinos A. Mountris, Vincent Jaouen, Konstantinos H. Katsanos, Αθανάσιος Διαμαντόπουλος, Dimitris Apostolopoulos, Athanasios Balomenos et al. · 2018 · IEEE Transactions on Radiation and Plasma Medical Sciences
  81. Towards safe and efficient preoperative planning of transcatheter mitral valve interventions
    Patricio Astudillo, Matthieu De Beule, Joni Dambre, Peter Mortier · 2019 · Morphologie
  82. Development and evaluation of a deep learning based artificial intelligence for automatic identification of gold fiducial markers in an MRI-only prostate radiotherapy workflow
    Christian Jamtheim Gustafsson, Johan Swärd, Stefan Ingi Adalbjörnsson, Andreas Jakobsson, Lars E. Olsson · 2020 · Physics in Medicine and Biology
  83. A Multi-Channel Uncertainty-Aware Multi-Resolution Network for MR to CT Synthesis
    Kerstin Kläser, Pedro Borges, Richard Shaw, Marta Bianca Maria Ranzini, Marc Modat A, David Atkinson, Kris Thielemans, Brian F. Hutton, Vicky Goh, Gary Cook et al. · 2021 · Applied Sciences
  84. Correction to: Computer-aided diagnosis (CAD) system based on multi-layer feature fusion network for skin lesion recognition in dermoscopy images
    Ibtissam Bakkouri, Karim Afde · 2020 · Multimedia Tools and Applications
  85. Strategies for deep learning‐based attenuation and scatter correction of brain 18 F‐FDG PET images in the image domain
    Reza Jahangir, Alireza Kamali‐Asl, Hossein Arabi, Habib Zaidi · 2024 · Medical Physics
  86. Automated Detection of Cortical Lesions in Multiple Sclerosis Patients with 7T MRI
    Francesco La Rosa, Erin Beck, Ahmed Abdulkadir, Jean‐Philippe Thiran, Daniel S. Reich, Pascal Sati, Meritxell Bach Cuadra · 2020 · Lecture notes in computer science
  87. FLAIR-only joint volumetric analysis of brain lesions and atrophy in clinically isolated syndrome (CIS) suggestive of multiple sclerosis
    Olivia Goodkin, Ferrán Prados, Sjoerd B. Vos, Hugh Pemberton, Sara Collorone, Marloes H. J. Hagens, M. Jorge Cardoso, Tarek Ahmed Yousry, John S. Thornton, Carole H. Sudre et al. · 2020 · NeuroImage Clinical
  88. Basic Artificial Intelligence Techniques
    Jayashree Kalpathy–Cramer, Jay Patel, Christopher P. Bridge, Ken Chang · 2021 · Radiologic Clinics of North America
  89. Patoloji Görüntülerinin Derin Öğrenme Yöntemleri İle Sınıflandırılması
    Meral KARAKURT, İsmail İşeri · 2022 · European Journal of Science and Technology
  90. Artificial Intelligence in Biomedical Image Processing
    Jubie Selvaraj, Thangavelu Prabha, Thirumoorthy Durai Ananda Kumar, Senthilkumar Palaniappan · 2022 · Springer eBooks
  91. A Review on Medical Image Analysis with Convolutional Neural Networks
    Paarth Bir, Valentina Emilia Bălaş · 2020 · IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT)
  92. Deep learning‐based ultrasound auto‐segmentation of the prostate with brachytherapy implanted needles
    Prakash Hampole, Thomas Harding, Derek J. Gillies, Nathan Orlando, Chandima Edirisinghe, Lucas C. Mendez, David Paul D'Souza, Vikram M. Velker, Rohann Jonathan Mark Correa, Joelle Antoine Helou et al. · 2023 · Medical Physics
  93. SenseCare: a research platform for medical image informatics and interactive 3D visualization
    Guotai Wang, Qi Duan, Shen Tian, Shaoting Zhang · 2024 · Frontiers in Radiology
  94. Brain MR Image Segmentation in Small Dataset with Adversarial Defense and Task Reorganization
    Xuhua Ren, Lichi Zhang, Dongming Wei, Dinggang G. Shen, Qian Wang · 2019 · Lecture notes in computer science
  95. GAN-Based Bi-Modal Segmentation Using Mumford-Shah Loss: Application to Head and Neck Tumors in PET-CT Images
    Fereshteh Yousefirizi, Arman Rahmim · 2021 · Lecture notes in computer science
  96. Joint Self-Supervised Image-Volume Representation Learning with Intra-inter Contrastive Clustering
    Duy M. H. Nguyen, Hoang Nguyen, Truong T. N. Mai, Tri Cao, Binh Thanh Nguyen, Nhat Ho, Paul Swoboda, Shadi Albarqouni, Pengtao Xie, Daniel Sonntag · 2023 · Proceedings of the AAAI Conference on Artificial Intelligence
  97. Joint Brain Tumor Segmentation from Multi-magnetic Resonance Sequences through a Deep Convolutional Neural Network
    Farzaneh Dehghani, Alireza Karimian, Hossein Arabi · 2024 · Journal of Medical Signals & Sensors
  98. Nerve recognition in percutaneous transforaminal endoscopic discectomy using convolutional neural network
    Peng Cui, Tao Shu, Jun Lei, Wenxi Chen · 2021 · Medical Physics
  99. Predictive models for colorectal cancer recurrence using multi-modal healthcare data
    Danliang Ho, Iain Bee Huat Tan, Mehul Motani · 2021 · ACM Conference on Health, Inference, and Learning (CHIL)
  100. Construction and Evaluation of Intelligent Medical Diagnosis Model Based on Integrated Deep Neural Network
    Lina Ma, Tao Yang · 2021 · Computational Intelligence and Neuroscience