标题
Artificial intelligence for multimodal data integration in oncology
作者
关键词
-
出版物
CANCER CELL
Volume 40, Issue 10, Pages 1095-1110
出版商
Elsevier BV
发表日期
2022-10-10
DOI
10.1016/j.ccell.2022.09.012
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- An explainable machine learning framework for lung cancer hospital length of stay prediction
- (2022) Belal Alsinglawi et al. Scientific Reports
- MRI-Based Radiomic Features Help Identify Lesions and Predict Histopathological Grade of Hepatocellular Carcinoma
- (2022) Valentina Brancato et al. Diagnostics
- Predicting gastric cancer outcome from resected lymph node histopathology images using deep learning
- (2021) Xiaodong Wang et al. Nature Communications
- Data-efficient and weakly supervised computational pathology on whole-slide images
- (2021) Ming Y. Lu et al. Nature Biomedical Engineering
- A Deep Learning Approach to Diagnostic Classification of Prostate Cancer Using Pathology–Radiology Fusion
- (2021) Pegah Khosravi et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- AI-based pathology predicts origins for cancers of unknown primary
- (2021) Ming Y. Lu et al. NATURE
- How medical AI devices are evaluated: limitations and recommendations from an analysis of FDA approvals
- (2021) Eric Wu et al. NATURE MEDICINE
- Deep learning in histopathology: the path to the clinic
- (2021) Jeroen van der Laak et al. NATURE MEDICINE
- Prospective assessment of breast cancer risk from multimodal multiview ultrasound images via clinically applicable deep learning
- (2021) Xuejun Qian et al. Nature Biomedical Engineering
- A Survey on Bias and Fairness in Machine Learning
- (2021) Ninareh Mehrabi et al. ACM COMPUTING SURVEYS
- Deep learning-based transformation of H&E stained tissues into special stains
- (2021) Kevin de Haan et al. Nature Communications
- The impact of site-specific digital histology signatures on deep learning model accuracy and bias
- (2021) Frederick M. Howard et al. Nature Communications
- Multimodal deep learning models for the prediction of pathologic response to neoadjuvant chemotherapy in breast cancer
- (2021) Sunghoon Joo et al. Scientific Reports
- Long-term cancer survival prediction using multimodal deep learning
- (2021) Luís A. Vale-Silva et al. Scientific Reports
- Synthetic data in machine learning for medicine and healthcare
- (2021) Richard J. Chen et al. Nature Biomedical Engineering
- Deep Learning of Histopathological Features for the Prediction of Tumour Molecular Genetics
- (2021) Pierre Murchan et al. Diagnostics
- Quantitative MRI-based radiomics for noninvasively predicting molecular subtypes and survival in glioma patients
- (2021) Jing Yan et al. npj Precision Oncology
- Collagen fiber orientation disorder from H&E images is prognostic for early stage breast cancer: clinical trial validation
- (2021) Haojia Li et al. npj Breast Cancer
- Colorimetric histology using plasmonically active microscope slides
- (2021) Eugeniu Balaur et al. NATURE
- Multi-omic machine learning predictor of breast cancer therapy response
- (2021) Stephen-John Sammut et al. NATURE
- Computed tomography radiomics for the prediction of thymic epithelial tumor histology, TNM stage and myasthenia gravis
- (2021) Christian Blüthgen et al. PLoS One
- A review of cancer immunotherapy toxicity
- (2020) Lucy Boyce Kennedy et al. CA-A CANCER JOURNAL FOR CLINICIANS
- Deep learning in medical image registration: a survey
- (2020) Grant Haskins et al. MACHINE VISION AND APPLICATIONS
- Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neural networks
- (2020) Todd C. Hollon et al. NATURE MEDICINE
- Me‐too pharmaceutical products: History, definitions, examples, and relevance to drug shortages and essential medicines lists
- (2020) Jeffrey K. Aronson et al. BRITISH JOURNAL OF CLINICAL PHARMACOLOGY
- Improving detection of prostate cancer foci via information fusion of MRI and temporal enhanced ultrasound
- (2020) Alireza Sedghi et al. International Journal of Computer Assisted Radiology and Surgery
- Overall survival prediction of non-small cell lung cancer by integrating microarray and clinical data with deep learning
- (2020) Yu-Heng Lai et al. Scientific Reports
- Noninvasive KRAS mutation estimation in colorectal cancer using a deep learning method based on CT imaging
- (2020) Kan He et al. BMC MEDICAL IMAGING
- Clinical-grade Detection of Microsatellite Instability in Colorectal Tumors by Deep Learning
- (2020) Amelie Echle et al. GASTROENTEROLOGY
- Self-co-attention neural network for anatomy segmentation in whole breast ultrasound
- (2020) Baiying Lei et al. MEDICAL IMAGE ANALYSIS
- A deep learning model to predict RNA-Seq expression of tumours from whole slide images
- (2020) Benoît Schmauch et al. Nature Communications
- Breast MRI texture analysis for prediction of BRCA-associated genetic risk
- (2020) Georgia Vasileiou et al. BMC MEDICAL IMAGING
- Classification and mutation prediction based on histopathology H&E images in liver cancer using deep learning
- (2020) Mingyu Chen et al. npj Precision Oncology
- ANHIR: Automatic Non-Rigid Histological Image Registration Challenge
- (2020) Jiri Borovec et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Transparency and reproducibility in artificial intelligence
- (2020) Benjamin Haibe-Kains et al. NATURE
- Welcoming new guidelines for AI clinical research
- (2020) Eric J. Topol NATURE MEDICINE
- Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension
- (2020) Samantha Cruz Rivera et al. NATURE MEDICINE
- Treatment effect prediction with adversarial deep learning using electronic health records
- (2020) Jiebin Chu et al. BMC Medical Informatics and Decision Making
- Explainable AI: A Review of Machine Learning Interpretability Methods
- (2020) Pantelis Linardatos et al. Entropy
- Deep learning-enabled breast cancer hormonal receptor status determination from base-level H&E stains
- (2020) Nikhil Naik et al. Nature Communications
- Predicting EGFR Mutation Status in Lung Adenocarcinoma on CT Image Using Deep Learning
- (2019) Shuo Wang et al. EUROPEAN RESPIRATORY JOURNAL
- Multi-Channel 3D Deep Feature Learning for Survival Time Prediction of Brain Tumor Patients Using Multi-Modal Neuroimages
- (2019) Dong Nie et al. Scientific Reports
- Computer aided quantification of intratumoral stroma yields an independent prognosticator in rectal cancer
- (2019) Oscar G. F. Geessink et al. CELLULAR ONCOLOGY
- Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis
- (2019) Veronika Cheplygina et al. MEDICAL IMAGE ANALYSIS
- FDA Approval Summary: Pembrolizumab for the treatment of microsatellite instability-high solid tumors
- (2019) Leigh Marcus et al. CLINICAL CANCER RESEARCH
- A Deep Learning Mammography-based Model for Improved Breast Cancer Risk Prediction
- (2019) Adam Yala et al. RADIOLOGY
- A Deep Learning Model for Predicting Xerostomia Due to Radiation Therapy for Head and Neck Squamous Cell Carcinoma in the RTOG 0522 Clinical Trial
- (2019) Kuo Men et al. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
- Clinical-grade computational pathology using weakly supervised deep learning on whole slide images
- (2019) Gabriele Campanella et al. NATURE MEDICINE
- Personalized Radiotherapy Design for Glioblastoma: Integrating Mathematical Tumor Models, Multimodal Scans, and Bayesian Inference
- (2019) Jana Lipkova et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Artificial intelligence in digital pathology — new tools for diagnosis and precision oncology
- (2019) Kaustav Bera et al. Nature Reviews Clinical Oncology
- Identifying pathological subtypes of non-small-cell lung cancer by using the radiomic features of 18F-fluorodeoxyglucose positron emission computed tomography
- (2019) Xue Sha et al. Translational Cancer Research
- EmbraceNet: A robust deep learning architecture for multimodal classification
- (2019) Jun-Ho Choi et al. Information Fusion
- CT-based radiomics for prediction of histologic subtype and metastatic disease in primary malignant lung neoplasms
- (2019) José Raniery Ferreira-Junior et al. International Journal of Computer Assisted Radiology and Surgery
- Mapping Driver Mutations to Histopathological Subtypes in Papillary Thyroid Carcinoma: Applying a Deep Convolutional Neural Network
- (2019) Peiling Tsou et al. Journal of Clinical Medicine
- A Machine-Learning Approach Using PET-Based Radiomics to Predict the Histological Subtypes of Lung Cancer
- (2019) Seung Hyup Hyun et al. CLINICAL NUCLEAR MEDICINE
- Integrative Analysis of Pathological Images and Multi-Dimensional Genomic Data for Early-Stage Cancer Prognosis
- (2019) Wei Shao et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Co-Learning Feature Fusion Maps From PET-CT Images of Lung Cancer
- (2019) Ashnil Kumar et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Automated acquisition of explainable knowledge from unannotated histopathology images
- (2019) Yoichiro Yamamoto et al. Nature Communications
- Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
- (2019) Alejandro Barredo Arrieta et al. Information Fusion
- Multimodal Machine Learning: A Survey and Taxonomy
- (2018) Tadas Baltrusaitis et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Multiple instance learning: A survey of problem characteristics and applications
- (2018) Marc-André Carbonneau et al. PATTERN RECOGNITION
- Current Challenges and Opportunities in Treating Glioblastoma
- (2018) Andrea Shergalis et al. PHARMACOLOGICAL REVIEWS
- Predicting cancer outcomes from histology and genomics using convolutional networks
- (2018) Pooya Mobadersany et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Deep Learning Role in Early Diagnosis of Prostate Cancer
- (2018) Islam Reda et al. TECHNOLOGY IN CANCER RESEARCH & TREATMENT
- Multimodal skin lesion classification using deep learning
- (2018) Jordan Yap et al. EXPERIMENTAL DERMATOLOGY
- Machine Learning for Integrating Data in Biology and Medicine: Principles, Practice, and Opportunities
- (2018) Marinka Zitnik et al. Information Fusion
- Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning
- (2018) Nicolas Coudray et al. NATURE MEDICINE
- Deep Multimodal Learning: A Survey on Recent Advances and Trends
- (2017) Dhanesh Ramachandram et al. IEEE SIGNAL PROCESSING MAGAZINE
- Microscopy with ultraviolet surface excitation for rapid slide-free histology
- (2017) Farzad Fereidouni et al. Nature Biomedical Engineering
- The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary
- (2016) David N. Louis et al. ACTA NEUROPATHOLOGICA
- A Contemporary Prostate Cancer Grading System: A Validated Alternative to the Gleason Score
- (2016) Jonathan I. Epstein et al. EUROPEAN UROLOGY
- Integrative Data Analysis of Multi-Platform Cancer Data with a Multimodal Deep Learning Approach
- (2015) Muxuan Liang et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- MRI Grading versus Histology: Predicting Survival of World Health Organization Grade II-IV Astrocytomas
- (2014) A. Lasocki et al. AMERICAN JOURNAL OF NEURORADIOLOGY
- Cetuximab and Chemotherapy as Initial Treatment for Metastatic Colorectal Cancer
- (2009) Eric Van Cutsem et al. NEW ENGLAND JOURNAL OF MEDICINE
- Prognostic Significance of Nottingham Histologic Grade in Invasive Breast Carcinoma
- (2008) Emad A. Rakha et al. JOURNAL OF CLINICAL ONCOLOGY
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search