On the public citation graph

Real-time intraoperative glioma diagnosis using fluorescence imaging and deep convolutional neural networks

https://doi.org/10.1007/s00259-021-05326-y
0 signed · 110 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/cncr.10458openalex-snapshot
Correlation between MIB‐1 and other proliferation markers
inferredcites →https://doi.org/10.1007/s13534-018-0077-0openalex-snapshot
Automatic disease stage classification of glioblastoma multiforme histopathological images using deep convolutional neural network
inferredcites →https://doi.org/10.1016/j.annonc.2020.04.003openalex-snapshot
Deep learning radiomic nomogram can predict the number of lymph node metastasis in locally advanced gastric cancer: an international multicenter study
inferredcites →https://doi.org/10.1016/j.jocn.2019.05.019openalex-snapshot
Automated brain histology classification using machine learning
inferredcites →https://doi.org/10.1016/j.nano.2017.01.005openalex-snapshot
Nanoparticle-mediated radiopharmaceutical-excited fluorescence molecular imaging allows precise image-guided tumor-removal surgery
inferredcites →https://doi.org/10.1016/j.nano.2017.10.001openalex-snapshot
Cerenkov luminescence imaging on evaluation of early response to chemotherapy of drug-resistant gastric cancer
inferredcites →https://doi.org/10.1016/s0140-6736(18)30990-5openalex-snapshot
Primary brain tumours in adults
inferredcites →https://doi.org/10.1038/s41551-018-0324-9openalex-snapshot
An explainable deep-learning algorithm for the detection of acute intracranial haemorrhage from small datasets
inferredcites →https://doi.org/10.1038/s41551-019-0494-0openalex-snapshot
First-in-human liver-tumour surgery guided by multispectral fluorescence imaging in the visible and near-infrared-I/II windows
inferredcites →https://doi.org/10.1038/s41591-018-0177-5openalex-snapshot
Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning
inferredcites →https://doi.org/10.1038/s41591-018-0268-3openalex-snapshot
Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network
inferredcites →https://doi.org/10.1038/s41591-019-0462-yopenalex-snapshot
Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer
inferredcites →https://doi.org/10.1038/s41591-019-0508-1openalex-snapshot
Clinical-grade computational pathology using weakly supervised deep learning on whole slide images
inferredcites →https://doi.org/10.1038/s41591-019-0715-9openalex-snapshot
Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neural networks
inferredcites →https://doi.org/10.1038/s41598-017-05848-2openalex-snapshot
Deep Learning based Radiomics (DLR) and its usage in noninvasive IDH1 prediction for low grade glioma
inferredcites →https://doi.org/10.1073/pnas.1717139115openalex-snapshot
Predicting cancer outcomes from histology and genomics using convolutional networks
inferredcites →https://doi.org/10.1073/pnas.1718917115openalex-snapshot
Shortwave infrared fluorescence imaging with the clinically approved near-infrared dye indocyanine green
inferredcites →https://doi.org/10.1093/annonc/mdz001openalex-snapshot
Development and validation of an individualized nomogram to identify occult peritoneal metastasis in patients with advanced gastric cancer
inferredcites →https://doi.org/10.1093/neuonc/not151openalex-snapshot
CBTRUS Statistical Report: Primary Brain and Central Nervous System Tumors Diagnosed in the United States in 2006-2010
inferredcites →https://doi.org/10.1093/neuonc/nox158openalex-snapshot
CBTRUS Statistical Report: Primary brain and other central nervous system tumors diagnosed in the United States in 2010–2014
inferredcites →https://doi.org/10.1109/jstqe.2011.2161757openalex-snapshot
Recent Advances in Cerenkov Luminescence and Tomography Imaging
inferredcites →https://doi.org/10.1109/mcse.2007.55openalex-snapshot
Matplotlib: A 2D Graphics Environment
inferredcites →https://doi.org/10.1109/tmi.2017.2658661openalex-snapshot
Weight Multispectral Reconstruction Strategy for Enhanced Reconstruction Accuracy and Stability With Cerenkov Luminescence Tomography
inferredcites →https://doi.org/10.1186/1471-2105-12-77openalex-snapshot
pROC: an open-source package for R and S+ to analyze and compare ROC curves
inferredcites →https://doi.org/10.1227/neu.0000000000001450openalex-snapshot
Intraoperative Near-Infrared Optical Imaging Can Localize Gadolinium-Enhancing Gliomas During Surgery
inferredcites →https://doi.org/10.2310/7290.2015.00018openalex-snapshot
A Novel Endoscopic Cerenkov Luminescence Imaging System for Intraoperative Surgical Navigation
inferredcites →https://doi.org/10.2967/jnumed.116.180596openalex-snapshot
In Vivo 3-Dimensional Radiopharmaceutical-Excited Fluorescence Tomography
inferredcites →https://doi.org/10.3171/jns.2003.99.3.0467openalex-snapshot
Survival following surgery and prognostic factors for recently diagnosed malignant glioma: data from the Glioma Outcomes Project
inferredcites →https://doi.org/10.3389/fnins.2018.00804openalex-snapshot
Glioma Grading on Conventional MR Images: A Deep Learning Study With Transfer Learning
inferredcites →https://doi.org/10.48550/arxiv.1201.0490openalex-snapshot
Scikit-learn: Machine Learning in Python
inferredcites →https://doi.org/10.48550/arxiv.1608.03983openalex-snapshot
SGDR: Stochastic Gradient Descent with Warm Restarts
inferredcites →https://doi.org/10.48550/arxiv.1905.11946openalex-snapshot
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1912.01703openalex-snapshot
PyTorch: An Imperative Style, High-Performance Deep Learning Library

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4638306openalex-extracted
inferred← citeshttps://doi.org/10.1002/agt2.657openalex-snapshot
Complexity made easy: Aggregation‐induced emission small molecules for cancer diagnosis and phototherapies
inferred← citeshttps://doi.org/10.1002/brb3.3291openalex-snapshot
Resection of positive tissue on methionine‐PET is associated with improved survival in glioblastomas
inferred← citeshttps://doi.org/10.1002/inmd.20240048openalex-snapshot
First‐in‐human orbital tumor surgery guided by near‐infrared II window fluorescence imaging: A feasibility study
inferred← citeshttps://doi.org/10.1007/978-3-031-72069-7_13openalex-snapshot
Data Augmentation with Multi-armed Bandit on Image Deformations Improves Fluorescence Glioma Boundary Recognition
inferred← citeshttps://doi.org/10.1007/978-3-031-94973-9_2openalex-snapshot
Deep Learning-Assisted Label-Free Glioma Cell Detection with Droplet Microfluidics
inferred← citeshttps://doi.org/10.1007/978-981-96-6875-5_18openalex-snapshot
Potential Application Prospects of NIRF Imaging-Guided Surgery
inferred← citeshttps://doi.org/10.1007/978-981-99-8469-5_30openalex-snapshot
Brain Tumor Image Segmentation Based on Global-Local Dual-Branch Feature Fusion
inferred← citeshttps://doi.org/10.1007/s00259-022-05730-yopenalex-snapshot
Intraoperative fluorescence molecular imaging accelerates the coming of precision surgery in China
inferred← citeshttps://doi.org/10.1007/s00259-024-06731-9openalex-snapshot
Intraoperative near infrared functional imaging of rectal cancer using artificial intelligence methods - now and near future state of the art
inferred← citeshttps://doi.org/10.1007/s00259-025-07093-6openalex-snapshot
Fibroblast activation protein peptide-targeted NIR-I/II fluorescence imaging for stable and functional detection of hepatocellular carcinoma
inferred← citeshttps://doi.org/10.1007/s00345-025-06031-3openalex-snapshot
Intraoperative use of artificial intelligence (AI) during endoscopic lithotripsy: a systematic review from EAU endourology
inferred← citeshttps://doi.org/10.1007/s10143-025-03512-2openalex-snapshot
The role of artificial intelligence in diagnostic neurosurgery: a systematic review
inferred← citeshttps://doi.org/10.1007/s10489-022-03774-zopenalex-snapshot
A cell phone app for facial acne severity assessment
inferred← citeshttps://doi.org/10.1007/s12672-022-00585-zopenalex-snapshot
The diagnostic accuracy of intraoperative differentiation and delineation techniques in brain tumours
inferred← citeshttps://doi.org/10.1007/s13246-025-01663-6openalex-snapshot
Measurement and classification of dielectric properties in human brain tissues: differentiating glioma from normal tissues using machine learning
inferred← citeshttps://doi.org/10.1016/j.ccr.2026.217892openalex-snapshot
Advances in near-infrared fluorescence imaging for biomedicine
inferred← citeshttps://doi.org/10.1016/j.ccr.2026.218616openalex-snapshot
From challenges to solutions: insights into AIEgen-based diagnostic and therapeutic strategies for breast cancer
inferred← citeshttps://doi.org/10.1016/j.cej.2024.153395openalex-snapshot
Recent progress on the organelle targeted AlEgens for bioimaging and treatment of diseases
inferred← citeshttps://doi.org/10.1016/j.cmpb.2024.108554openalex-snapshot
TSPE: Reconstruction of multi-morphological tumors of NIR-II fluorescence molecular tomography based on positional encoding
inferred← citeshttps://doi.org/10.1016/j.ebiom.2023.104899openalex-snapshot
Rapid intraoperative multi-molecular diagnosis of glioma with ultrasound radio frequency signals and deep learning
inferred← citeshttps://doi.org/10.1016/j.ebiom.2024.105243openalex-snapshot
Near-infrared II fluorescence-guided glioblastoma surgery targeting monocarboxylate transporter 4 combined with photothermal therapy
inferred← citeshttps://doi.org/10.1016/j.isci.2023.106815openalex-snapshot
Performance of deep learning algorithms to distinguish high-grade glioma from low-grade glioma: A systematic review and meta-analysis
inferred← citeshttps://doi.org/10.1016/j.isurg.2025.06.002openalex-snapshot
Neurosurgery reimagined: How AI is redefining patient care and surgical excellence
inferred← citeshttps://doi.org/10.1016/j.jmsacl.2025.10.002openalex-snapshot
Ambient ionization mass spectrometry in brain cancer diagnosis
inferred← citeshttps://doi.org/10.1016/j.saa.2024.125615openalex-snapshot
Convolutional neural network-assisted Raman spectroscopy for high-precision diagnosis of glioblastoma
inferred← citeshttps://doi.org/10.1016/j.semcancer.2023.03.006openalex-snapshot
Emerging role of artificial intelligence in diagnosis, classification and clinical management of glioma
inferred← citeshttps://doi.org/10.1016/j.suronc.2026.102364openalex-snapshot
Towards real time AI-augmented fluorescence-guided surgery: Evidence and translational readiness across neurosurgical, gynaecological, and thoracic oncology
inferred← citeshttps://doi.org/10.1016/j.trac.2026.118730openalex-snapshot
Genetically encoded fluorescent neurotransmitter sensors: A new frontier in molecular diagnostics and real-time brain imaging
inferred← citeshttps://doi.org/10.1016/j.ultrasmedbio.2024.11.007openalex-snapshot
Intraoperative Real-Time IDH Diagnosis for Glioma Based on Automatic Analysis of Contrast-Enhanced Ultrasound Video
inferred← citeshttps://doi.org/10.1016/j.wneu.2023.11.073openalex-snapshot
Deep Learning-Assisted Segmentation and Classification of Brain Tumor Types on Magnetic Resonance and Surgical Microscope Images
inferred← citeshttps://doi.org/10.1016/j.wneu.2025.123809openalex-snapshot
Applications of Artificial Intelligence in Neurosurgery for Improving Outcomes Through Diagnostics, Predictive Tools, and Resident Education
inferred← citeshttps://doi.org/10.1016/s2589-7500(22)00144-3openalex-snapshot
Radiomics in neuro-oncological clinical trials
inferred← citeshttps://doi.org/10.1038/s41571-024-00892-0openalex-snapshot
NIR-II light in clinical oncology: opportunities and challenges
inferred← citeshttps://doi.org/10.1038/s41698-024-00699-3openalex-snapshot
Illuminating the future of precision cancer surgery with fluorescence imaging and artificial intelligence convergence
inferred← citeshttps://doi.org/10.1038/s44222-022-00017-1openalex-snapshot
Fluorescence image-guided tumour surgery
inferred← citeshttps://doi.org/10.1039/d3qi00978eopenalex-snapshot
Advances in the application of manganese dioxide and its composites for theranostics
inferred← citeshttps://doi.org/10.1039/d5cs01323bopenalex-snapshot
Stimuli-responsive nanoplatforms for central nervous system disorders: integrating delivery, modulation, and imaging
inferred← citeshttps://doi.org/10.1097/js9.0000000000001102openalex-snapshot
Real-time classification of tumour and non-tumour tissue in colorectal cancer using diffuse reflectance spectroscopy and neural networks to aid margin assessment
inferred← citeshttps://doi.org/10.1097/ms9.0000000000002218openalex-snapshot
Fluorescence in neurosurgery: its therapeutic and diagnostic significance – a comprehensive review
inferred← citeshttps://doi.org/10.1109/tmi.2022.3166129openalex-snapshot
Intraoperative Glioma Grading Using Neural Architecture Search and Multi-Modal Imaging
inferred← citeshttps://doi.org/10.1109/tmi.2024.3510836openalex-snapshot
Prediction of Lymph Node Metastasis in Colorectal Cancer Using Intraoperative Fluorescence Multi-Modal Imaging
inferred← citeshttps://doi.org/10.1109/tnnls.2023.3264551openalex-snapshot
PP-NAS: Searching for Plug-and-Play Blocks on Convolutional Neural Networks
inferred← citeshttps://doi.org/10.1111/cas.16089openalex-snapshot
Radiomic profiling for insular diffuse glioma stratification with distinct biologic pathway activities
inferred← citeshttps://doi.org/10.1145/3644116.3644150openalex-snapshot
A Review of The Applications of Deep Learning In the Treatment of Glioma
inferred← citeshttps://doi.org/10.1186/s12909-023-04700-8openalex-snapshot
AI in medical education: medical student perception, curriculum recommendations and design suggestions
inferred← citeshttps://doi.org/10.1186/s12951-024-02870-1openalex-snapshot
Targeted blood-brain barrier penetration and precise imaging of infiltrative glioblastoma margins using hybrid cell membrane-coated ICG liposomes
inferred← citeshttps://doi.org/10.1186/s12967-025-06139-5openalex-snapshot
The clinical application of artificial intelligence in cancer precision treatment
inferred← citeshttps://doi.org/10.1364/optica.478211openalex-snapshot
Opportunities of optical and spectral technologies in intraoperative histopathology
inferred← citeshttps://doi.org/10.21203/rs.3.rs-3970236/v1openalex-snapshot
The role of LOC339529 in the prognosis of brain glioma patients
inferred← citeshttps://doi.org/10.2147/ijn.s523676openalex-snapshot
Nanoprobe-Based Near-Infrared II Optical Imaging for Guiding Precision Glioma Therapy
inferred← citeshttps://doi.org/10.31435/ijitss.2(50).2026.5799openalex-snapshot
DIGITAL TRANSFORMATION OF NEUROSURGERY: AI, TELEMEDICINE AND VIRTUAL REALITY
inferred← citeshttps://doi.org/10.32604/cmc.2025.064799openalex-snapshot
Deep Learning in Biomedical Image and Signal Processing: A Survey
inferred← citeshttps://doi.org/10.3389/fendo.2023.1273634openalex-snapshot
Global research trends in immunotherapy for glioma: a comprehensive visualization and bibliometric analysis
inferred← citeshttps://doi.org/10.3389/fneur.2025.1532398openalex-snapshot
Deep learning in neurosurgery: a systematic literature review with a structured analysis of applications across subspecialties
inferred← citeshttps://doi.org/10.3389/fonc.2023.1114450openalex-snapshot
Advances in the intraoperative delineation of malignant glioma margin
inferred← citeshttps://doi.org/10.3389/fonc.2025.1673332openalex-snapshot
Machine learning and Shapley Additive exPlanations to predict metastasis of lymph nodes posterior to the recurrent laryngeal nerve in cN0 papillary thyroid carcinoma
inferred← citeshttps://doi.org/10.3389/fonc.2025.1697966openalex-snapshot
Risk stratification for intracranial infection after high-grade gliomas surgery: a nomogram development and validation study
inferred← citeshttps://doi.org/10.3389/fsurg.2022.952539openalex-snapshot
Intraoperative tissue classification methods in orthopedic and neurological surgeries: A systematic review
inferred← citeshttps://doi.org/10.3390/biomedicines13071764openalex-snapshot
Writing the Future: Artificial Intelligence, Handwriting, and Early Biomarkers for Parkinson’s Disease Diagnosis and Monitoring
inferred← citeshttps://doi.org/10.3390/cancers16030576openalex-snapshot
Advances in Neuro-Oncological Imaging: An Update on Diagnostic Approach to Brain Tumors
inferred← citeshttps://doi.org/10.3390/cancers17122019openalex-snapshot
Fluorescence Guidance in Glioma Surgery: A Narrative Review of Current Evidence and the Drive Towards Objective Margin Differentiation
inferred← citeshttps://doi.org/10.3390/cancers18071125openalex-snapshot
Machine Learning-Based Fluorescence Assessment for Augmented Imaging and Decision Support in Glioblastoma Resections
inferred← citeshttps://doi.org/10.3390/cancers18071157openalex-snapshot
Dual-Tracer Imaging and Deep Learning for Real-Time Prediction of Lymph Node Metastasis in cN0 Papillary Thyroid Carcinoma
inferred← citeshttps://doi.org/10.3390/cancers18071182openalex-snapshot
Supramaximal Resection in Glioblastoma: Expanding Surgical Boundaries in the Era of Precision Neuro-Oncology—A Systematic Review
inferred← citeshttps://doi.org/10.3390/diagnostics13050849openalex-snapshot
Diagnostic Performance of Selected MRI-Derived Radiomics Able to Discriminate Progression-Free and Overall Survival in Patients with Midline Glioma and the H3F3AK27M Mutation
inferred← citeshttps://doi.org/10.3390/diagnostics13142429openalex-snapshot
Artificial Intelligence in Neurosurgery: A State-of-the-Art Review from Past to Future
inferred← citeshttps://doi.org/10.3390/jpm14010033openalex-snapshot
Machine Learning-Assisted Short-Wave InfraRed (SWIR) Techniques for Biomedical Applications: Towards Personalized Medicine
inferred← citeshttps://doi.org/10.3724/pxlife.2025-0009openalex-snapshot
Deep-tissue optics: Multidisciplinary innovations and emerging frontiers—A comprehensive review
inferred← citeshttps://doi.org/10.3724/pxlife.2026-0010openalex-snapshot
Fluorescence molecular imaging in tumor diagnosis and therapy: Advances in probe design and AI empowerment
inferred← citeshttps://doi.org/10.3788/cjl251569openalex-snapshot
人工智能驱动的荧光分子成像技术研究进展(特邀)
inferred← citeshttps://doi.org/10.3788/lop251758openalex-snapshot
近红外二区荧光手术导航技术及其临床应用(特邀)
inferred← citeshttps://doi.org/10.51847/zvcfkvdlsvopenalex-snapshot
Near-Infrared II Fluorescence Imaging for Image-Guided Orbital Tumor Surgery: A First-in-Human Feasibility Study
inferred← citeshttps://doi.org/10.5772/intechopen.1010580openalex-snapshot
Identifying Glioma Margins Rapidly during Microsurgery via Microendoscope Systems: History and Prospects
inferred← citeshttps://doi.org/10.6084/m9.figshare.24540662openalex-snapshot
Additional file 1 of AI in medical education: medical student perception, curriculum recommendations and design suggestions
inferred← citeshttps://doi.org/10.7150/thno.102671openalex-snapshot
Optical molecular imaging technology and its application in precise surgical navigation of liver cancer
inferred← citeshttps://doi.org/10.7150/thno.82323openalex-snapshot
Ratiometric optical probes for biosensing
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.