Non-Hodgkin Lymphoma

How artificial intelligence is transforming non-hodgkin lymphoma detection, diagnosis, and treatment.

118 Papers Open Access

Showing all 118 papers

Cited by 242
The Landscape of Tumor Cell States and Ecosystems in Diffuse Large B Cell Lymphoma

Cancer Cell, 2021

Open Access
Cited by 101
Deep-Learning 18F-FDG Uptake Classification Enables Total Metabolic Tumor Volume Estimation in Diffuse Large B-Cell Lymphoma

Journal of Nuclear Medicine, 2021

Open Access
Cited by 70
A deep learning diagnostic platform for diffuse large B-cell lymphoma with high accuracy across multiple hospitals

Nature Communications, 2020

Open Access
Cited by 70
Machine Learning-Based Classification of Diffuse Large B-Cell Lymphoma Patients by Their Protein Expression Profiles

Molecular & Cellular Proteomics, 2015

Open Access
Cited by 57
Accurate diagnosis of lymphoma on whole-slide histopathology images using deep learning

npj Digital Medicine, 2020

Open Access
Cited by 52
AI and Digital Microscopy Applications in Diagnostic Hematopathology

Cancers (Basel), 2020

Open Access
Cited by 47
18F-FDG PET Maximum-Intensity Projections and Artificial Intelligence: A Win-Win Combination to Easily Measure Prognostic Biomarkers in DLBCL Patients

Journal of Nuclear Medicine, 2022

Open Access
Cited by 47
In vitro machine learning-based CAR T immunological synapse quality measurements correlate with patient clinical outcomes

PLoS Computational Biology, 2022

Open Access
Cited by 40
Combining Gene Expression Profiling and Machine Learning to Diagnose B-Cell Non-Hodgkin Lymphoma

Blood Cancer Journal, 2020

Open Access
Cited by 39
Deep Learning for the Classification of Non-Hodgkin Lymphoma on Histopathological Images

Cancers, 2021

Open Access
Cited by 34
Advances in Multi-Omics Study of Prognostic Biomarkers of Diffuse Large B-Cell Lymphoma

International Journal of Biological Sciences, 2022

Open Access
Cited by 33
Comparison of Radiomics-Based Machine-Learning Classifiers in Diagnosis of Glioblastoma From Primary Central Nervous System Lymphoma

Frontiers in Oncology, 2020

Open Access
Cited by 29
Artificial intelligence to detect MYC translocation in slides of diffuse large B-cell lymphoma

Virchows Arch, 2021

Open Access
Cited by 29
Artificial Neural Networks Predicted the Overall Survival and Molecular Subtypes of Diffuse Large B-Cell Lymphoma Using a Pancancer Immune-Oncology Panel

Cancers, 2021

Open Access
Cited by 29
Machine Learning Based Classification of Diffuse Large B-Cell Lymphoma Patients by Eight Gene Expression Profiles

Cancer Medicine, 2016

Open Access
Cited by 28
A Deep Learning Model for Preoperative Differentiation of Glioblastoma Brain Metastasis and PCNSL: Pilot Study

Frontiers in Oncology, 2022

Open Access
Cited by 26
Artificial intelligence for chimeric antigen receptor-based therapies: a comprehensive review of current applications and future perspectives

Therapeutic Advances in Vaccines and Immunotherapy, 2024

Open Access
Cited by 26
Remaining Challenges in Predicting Patient Outcomes for Diffuse Large B-Cell Lymphoma

Expert Review of Hematology, 2019

Open Access
Cited by 25
An artificial intelligence method using FDG PET to predict treatment outcome in diffuse large B cell lymphoma patients

Sci Rep, 2023

Open Access
Cited by 24
Artificial Intelligence Analysis of Gene Expression Predicted the Overall Survival of Mantle Cell Lymphoma and a Large Pan-Cancer Series

Healthcare (Basel), 2022

Open Access
Cited by 24
Artificial Intelligence in Lymphoma PET Imaging: A Scoping Review (Current Trends and Future Directions)

PET Clin, 2022

Open Access
Cited by 23
A Clinically Applicable Approach to the Classification of B-Cell Non-Hodgkin Lymphomas with Flow Cytometry and Machine Learning

Cancers, 2020

Open Access
Cited by 23
Discovery of Pre-Treatment FDG PET/CT-Derived Radiomics-Based Models for Predicting Outcome in Diffuse Large B-Cell Lymphoma

Cancers, 2022

Open Access
Cited by 22
Deep Neural Networks and Machine Learning Radiomics Modelling for Prediction of Relapse in Mantle Cell Lymphoma

Cancers, 2022

Open Access
Cited by 21
Artificial Intelligence Predicted Overall Survival and Classified Mature B-Cell Neoplasms Based on Immuno-Oncology and Immune Checkpoint Panels

Cancers, 2022

Open Access
Cited by 21
Classifying primary central nervous system lymphoma from glioblastoma using deep learning and radiomics based machine learning approach: a systematic review and meta-analysis

Frontiers in Oncology, 2022

Open Access
Cited by 20
Evaluating Outcome Prediction via Baseline End-of-Treatment and Delta Radiomics on PET-CT Images of Primary Mediastinal Large B-Cell Lymphoma

Cancers, 2024

Open Access
Cited by 18
Deep Learning Approach to Automatize TMTV Calculations Regardless of Segmentation Methodology for Major FDG-Avid Lymphomas

Diagnostics, 2022

Open Access
Cited by 18
Deep Learning for FDG-PET-CT Classification in Patients with Lymphoma: A Dual-Centre Retrospective Analysis

The Lancet Digital Health, 2024

Open Access
Cited by 18
DLBCL-Morph: Morphological Features Computed Using Deep Learning for an Annotated Digital DLBCL Image Set

Scientific Data, 2021

Open Access
Cited by 18
Evaluation of Semiautomatic and Deep Learning-Based Fully Automatic Segmentation Methods on [18F]FDG PET/CT Images from Patients with Lymphoma: Influence on Tumor Characterization

Journal of Digital Imaging, 2023

Open Access
Cited by 17
CT-based radiomics model with machine learning for predicting primary treatment failure in diffuse large B-cell Lymphoma

Translational Oncology, 2021

Open Access
Cited by 17
Prediction of immunochemotherapy response for diffuse large B-cell lymphoma using artificial intelligence digital pathology

Journal of Pathology: Clinical Research, 2024

Open Access
Cited by 17
Prediction of Lymphoma Response to CAR T Cells by Deep Learning-Based Image Analysis

PLoS One, 2023

Open Access
Cited by 17
Radiomics-Based Machine Learning Model for Predicting Overall and Progression-Free Survival in Rare Cancer: A Case Study for Primary CNS Lymphoma Patients

Bioengineering (Basel), 2023

Open Access
Cited by 17
Two-Year Event-Free Survival Prediction in DLBCL Patients Based on In Vivo Radiomics and Clinical Parameters

Frontiers in Oncology, 2022

Open Access
Cited by 16
A Deep Learning-Aided Automated Method for Calculating Metabolic Tumor Volume in Diffuse Large B-Cell Lymphoma

Cancers, 2022

Open Access
Cited by 16
Artificial intelligence performance in detecting lymphoma from medical imaging: a systematic review and meta-analysis

BMC Medical Informatics and Decision Making, 2024

Open Access
Cited by 16
Determining Clinical Course of Diffuse Large B-Cell Lymphoma Using Targeted Transcriptome and Machine Learning Algorithms

Blood Cancer Journal, 2022

Open Access
Cited by 16
Enhancing Lymphoma Diagnosis, Treatment, and Follow-Up Using 18F-FDG PET/CT Imaging: Contribution of Artificial Intelligence and Radiomics Analysis

Cancers, 2024

Open Access
Cited by 16
Improved Personalized Survival Prediction of Patients with Diffuse Large B-Cell Lymphoma Using Gene Expression Profiling

BMC Cancer, 2020

Open Access
Cited by 15
Advancing CAR T-cell Therapies with Artificial Intelligence: Opportunities and Challenges

Blood Cancer Discovery, 2025

Open Access
Cited by 15
Low-Cost Transcriptional Diagnostic to Accurately Categorize Lymphomas in LMICs

Blood Advances, 2021

Open Access
Cited by 13
Artificial intelligence for diagnosis and prognosis prediction of natural killer/T cell lymphoma using magnetic resonance imaging

Cell Rep Med, 2024

Open Access
Cited by 13
Machine Learning Based on Morphological Features Enables Classification of Primary Intestinal T-Cell Lymphomas

Cancers, 2021

Open Access
Cited by 12
Artificial intelligence-based assessment of PD-L1 expression in diffuse large B cell lymphoma

NPJ Precision Oncology, 2024

Open Access
Cited by 11
Is Automatic Tumor Segmentation on Whole-Body 18F-FDG PET Images a Clinical Reality?

Journal of Nuclear Medicine, 2024

Open Access
Cited by 11
Machine Learning and Deep Learning CT-Based Models for Predicting the Primary Central Nervous System Lymphoma and Glioma Types: A Multicenter Retrospective Study

Frontiers in Neurology, 2022

Open Access
Cited by 11
Machine Learning Methods in Clinical Flow Cytometry

Cancers, 2025

Open Access
Cited by 11
The International Prognostic Index in Aggressive B-Cell Lymphoma

Haematologica, 2023

Open Access
Cited by 10
Application of machine learning in the management of lymphoma: Current practice and future prospects

Digital Health, 2024

Open Access
Cited by 10
Discriminant analysis and machine learning approach for evaluating and improving the performance of immunohistochemical algorithms for COO classification of DLBCL

Journal of Translational Medicine, 2019

Open Access
Cited by 10
Liquid Biopsy in T-Cell Lymphoma: Biomarker Detection Techniques and Clinical Application

Molecular Cancer, 2024

Open Access
Cited by 10
Machine learning-based pathomics signature of histology slides as a novel prognostic indicator in primary central nervous system lymphoma

Journal of Neuro-Oncology, 2024

Open Access
Cited by 9
End-to-end deep learning radiomics: development and validation of a novel attention-based aggregate convolutional neural network to distinguish breast diffuse large B-cell lymphoma from breast invasive ductal carcinoma

Quantitative Imaging in Medicine and Surgery, 2023

Open Access
Cited by 9
Research on the classification of lymphoma pathological images based on deep residual neural network

Technology and Health Care, 2021

Open Access
Cited by 9
Semi-automated 18F-FDG PET segmentation methods for tumor volume determination in Non-Hodgkin lymphoma patients: a literature review, implementation and multi-threshold evaluation

Computational and Structural Biotechnology Journal, 2023

Open Access
Cited by 9
SPECIAL ISSUE: RNA and Hematopoiesis Artificial intelligence and its applications in digital hematopathology

Blood Science, 2022

Open Access
Cited by 8
Artificial Intelligence and Classification of Mature Lymphoid Neoplasms

Exploration of Targeted Anti-tumor Therapy, 2024

Open Access
Cited by 8
Deep learning applications in visual data for benign and malignant hematologic conditions: a systematic review and visual glossary

Haematologica, 2023

Open Access
Cited by 8
Deep learning-based overall survival prediction model in patients with rare cancer: a case study for primary central nervous system lymphoma

International Journal of Computer Assisted Radiology and Surgery, 2023

Open Access
Cited by 8
Personally Tailored Survival Prediction of Patients with Follicular Lymphoma Using ML Transcriptome-Based Models

Frontiers in Oncology, 2022

Open Access
Cited by 8
Subtype Classification of Malignant Lymphoma Using Immunohistochemical Staining Pattern

International Journal of Computer Assisted Radiology and Surgery, 2022

Open Access
Cited by 8
Survival prediction in diffuse large B-cell lymphoma patients: multimodal PET/CT deep features radiomic model utilizing automated machine learning

Journal of Cancer Research and Clinical Oncology, 2024

Open Access
Cited by 7
Clinical Evaluation of Deep Learning-Enhanced Lymphoma PET Imaging with Accelerated Acquisition

Journal of Applied Clinical Medical Physics, 2024

Open Access
Cited by 7
Deep Learning Aided Preoperative Diagnosis of Primary Central Nervous System Lymphoma

iScience, 2024

Open Access
Cited by 7
Is the Time Right to Start Using Digital Pathology and AI for Lymphoma Diagnosis?

Journal of Pathology Informatics, 2020

Open Access
Cited by 7
Spatial Transcriptomics Reveals Tumor Microenvironment Heterogeneity in EBV-Positive Diffuse Large B Cell Lymphoma

Scientific Reports, 2025

Open Access
Cited by 7
Translational Applications of Artificial Intelligence and Machine Learning for Diagnostic Pathology in Lymphoid Neoplasms: A Comprehensive and Evolutive Analysis

Biomolecules, 2021

Open Access
Cited by 6
A machine learning approach in a monocentric cohort for predicting primary refractory disease in Diffuse Large B-cell lymphoma patients

PLOS ONE, 2024

Open Access
Cited by 6
Applications of Multimodal Artificial Intelligence in Non-Hodgkin Lymphoma B Cells

Biomedicines, 2024

Open Access
Cited by 6
Deep learning for image classification between primary central nervous system lymphoma and glioblastoma in corpus callosal tumors

Journal of Neurosciences in Rural Practice, 2023

Open Access
Cited by 6
Location, location, location: mapping the lymphoma tumor microenvironment using spatial transcriptomics

Frontiers in Oncology, 2023

Open Access
Cited by 6
Machine Learning Models for the Diagnosis and Prognosis Prediction of High-Grade B-Cell Lymphoma

Frontiers in Immunology, 2022

Open Access
Cited by 5
Deep Learning-Based Segmentation and Volume Calculation of Pediatric Lymphoma on CT

Journal of Personalized Medicine, 2023

Open Access
Cited by 5
Integrative Prognostic Machine Learning Models in Mantle Cell Lymphoma

Cancer Research Communications, 2023

Open Access
Cited by 5
Multimodal Gated Mixture of Experts Using Whole Slide Image and Flow Cytometry for Multiple Instance Learning Classification of Lymphoma

Journal of Pathology Informatics, 2023

Open Access
Cited by 5
Prognostic Stratification of DLBCL Using Clinico-Genomic Models: Validation of the LymForest-25 Model

HemaSphere, 2022

Open Access
Cited by 5
Role of Artificial Intelligence in Haematolymphoid Diagnostics

Histopathology, 2025

Open Access
Cited by 5
Survival Prediction Using Transformer-Based Categorical Feature Representation in the Treatment of Diffuse Large B-Cell Lymphoma

Healthcare (Basel), 2023

Open Access
Cited by 4
Application of artificial intelligence in laboratory hematology: Advances, challenges, and prospects

Acta Pharm Sin B, 2025

Open Access
Cited by 4
CART-GPT: A T Cell-Informed AI Linguistic Framework for Interpreting Neurotoxicity and Therapeutic Outcomes in CAR-T Therapy

bioRxiv, 2025

Open Access
Cited by 4
Diagnosis of Cervical Lymphoma Using a YOLO-v7-Based Model with Transfer Learning

Scientific Reports, 2024

Open Access
Cited by 4
PrecisionLymphoNet: Advancing Malignant Lymphoma Diagnosis via Ensemble Transfer Learning with CNNs

Diagnostics, 2024

Open Access
Cited by 4
Predicting Phase 1 Lymphoma Clinical Trial Durations Using Machine Learning: An In-Depth Analysis and Broad Application Insights

Clinics and Practice, 2023

Open Access
Cited by 4
Translating Prognostic Quantification of c-MYC and BCL2 from Tissue Microarrays to Whole Slide Images in DLBCL Using Deep Learning

Diagnostic Pathology, 2024

Open Access
Cited by 3
Baseline [18F]FDG PET/CT radiomics for predicting interim efficacy in follicular lymphoma treated with first-line R-CHOP

BMC Cancer, 2025

Open Access
Cited by 3
Identification and validation of an immunological microenvironment signature and prediction model for epstein-barr virus positive lymphoma: Implications for immunotherapy

Frontiers in Oncology, 2022

Open Access
Cited by 3
Machine Learning Radiomics Signature for Differentiating Lymphoma versus Benign Splenomegaly on CT

Diagnostics (Basel), 2023

Open Access
Cited by 3
Systems Drug Discovery for Diffuse Large B Cell Lymphoma Based on Pathogenic Molecular Mechanism via Big Data Mining and Deep Learning

International Journal of Molecular Sciences, 2022

Open Access
Cited by 2
A Novel Cancer-Associated Fibroblast Related Gene Signature for Predicting DLBCL Prognosis Using WGCNA and Machine Learning

Journal of International Medical Research, 2025

Open Access
Cited by 2
AI for Risk Assessment and Outcome Prediction in Malignant Haematology

British Journal of Haematology, 2026

Open Access
Cited by 2
An artificial intelligence system applied to recurrent cytogenetic aberrations and genetic progression scores predicts MYC rearrangements in large B-cell lymphoma

EJHaem, 2022

Open Access
Cited by 2
Artificial intelligence and machine learning: a new frontier in the diagnosis of ocular adnexal tumors: A review

SAGE Open Medicine, 2024

Open Access
Cited by 2
Development and Validation of Deep Learning-Based Automated Detection of Cervical Lymphadenopathy in Patients with Lymphoma for Treatment Response Assessment: A Bi-institutional Feasibility Study

Journal of Imaging Informatics in Medicine, 2024

Open Access
Cited by 2
Elucidating the Molecular and Immune Interplay Between HNSCC and Diffuse Large B-Cell Lymphoma Through Bioinformatics and Machine Learning

Translational Cancer Research, 2024

Open Access
Cited by 2
Fast intraoperative detection of primary CNS lymphoma and differentiation from common CNS tumors using stimulated Raman histology and deep learning

medRxiv, 2024

Open Access
Cited by 2
Fully automated segmentation and volumetric measurement of ocular adnexal lymphoma by deep learning-based self-configuring nnU-net on multi-sequence MRI: a multi-center study

Neuroradiology, 2024

Open Access
Cited by 2
Histological Image Classification Between Follicular Lymphoma and Reactive Lymphoid Tissue Using Deep Learning and Explainable Artificial Intelligence (XAI)

Cancers, 2025

Open Access
Cited by 2
MRI-Based Machine Learning for Prediction of Clinical Outcomes in Primary CNS Lymphoma

Life (Basel), 2024

Open Access
Cited by 2
Single-cell and spatial transcriptomics reveal intratumor heterogeneity and immune evasion in natural killer/T cell lymphoma

iScience, 2025

Open Access
Cited by 2
The Application of Machine Learning to Imaging in Hematological Oncology: A Scoping Review

Frontiers in Oncology, 2022

Open Access
Cited by 2
Whole-body tumor segmentation from FDG-PET/CT: Leveraging a segmentation prior from tissue-wise projections

Heliyon, 2024

Open Access
Cited by 1
Development and validation of a hierarchical approach for lymphoma classification using immunohistochemical markers

Cancer Medicine, 2024

Open Access
Cited by 1
Development and validation of a machine learning-based early warning system for predicting venous thromboembolism risk in hospitalized lymphoma patients undergoing chemotherapy: a multicenter and retrospective cohort study

Frontiers in Oncology, 2025

Open Access
Cited by 1
The Role of Artificial Intelligence and Radiomics in the Management of Lymphomas by PET/CT: The Clairvoyance in Clinic

Cancer Management and Research, 2025

Open Access
Cited by 0
A Deep Learning Model for Preoperative Differentiation of Glioblastoma Brain Metastasis and PCNSL: External Validation

NeuroSci, 2022

Open Access
Cited by 0
Annotation-efficient deep learning detection and measurement of mediastinal lymph nodes in CT

International Journal of Computer Assisted Radiology and Surgery, 2026

Open Access
Cited by 0
Artificial Intelligence and Datasets for Leukemia Diagnosis: A Scoping Review of Machine Learning and Deep Learning Approaches

MethodsX, 2025

Open Access
Cited by 0
Automatic Segmentation of Primary Central Nervous System Lymphoma at Clinical Routine Postcontrast T1-weighted MRI

Radiology: Imaging Cancer, 2025

Open Access
Cited by 0
CNN-Based Detection of Pediatric Lymphoma on Whole Body 18F-FDG-PET/MRI

American Journal of Nuclear Medicine and Molecular Imaging, 2026

Open Access
Cited by 0
Detecting B-cell lymphoma-6 overexpression status in primary central nervous system lymphoma using multiparametric MRI-based machine learning

Neuroradiology, 2025

Open Access
Cited by 0
Enhancing Precision in Lymphoma Detection with Novel Deep Transformer-Based Neural Networks

PLoS One, 2025

Open Access
Cited by 0
Evaluation of New Machine Learning Systems for Prognostication Based on Gene Expression Signatures in Mantle Cell and Peripheral T Cell Lymphomas

HemaSphere, 2023

Open Access
Cited by 0
Integrated Single-Cell and Spatial Multi-Omics of Clonal Precursors and Immune Niches in Germinal Center Lymphomas

Cancers, 2026

Open Access
Cited by 0
Interpretable machine learning model to predict 90-day radiographically confirmed pneumonia after chemotherapy initiation in non-Hodgkin lymphoma: development and internal validation of a single-center cohort

Frontiers in Medicine, 2025

Open Access
Cited by 0
Predicting the Risk of Relapsed or Refractory in Patients with Diffuse Large B-Cell Lymphoma via Deep Learning

Frontiers in Oncology, 2025

Open Access
Cited by 0
Recent advances in deep learning for lymphoma segmentation: Clinical applications and challenges

Digital Health, 2025

Open Access