M. Hatt

Identification of CT radiomic features robust to acquisition and segmentation variations for improved prediction of radiotherapy-treated lung cancer patient recurrence
20248 citationsauthor #15
PET/CT-Based Radiogenomics Supports KEAP1/NFE2L2 Pathway Targeting for Non–Small Cell Lung Cancer Treated with Curative Radiotherapy
20248 citationsauthor #4
Multicentric development and evaluation of [18F]FDG PET/CT and CT radiomic models to predict regional and/or distant recurrence in early-stage non-small cell lung cancer treated by stereotactic body radiation therapy
202315 citationsauthor #16
Multicentric development and evaluation of ^18F-FDG PET/CT and MRI radiomics models to predict para-aortic lymph node involvement in locally advanced cervical cancer
202323 citationsauthor #18
Automatic Head and Neck Tumor segmentation and outcome prediction relying on FDG-PET/CT images: Findings from the second edition of the HECKTOR challenge
202324 citationsauthor #11
MedShapeNet – a large-scale dataset of 3D medical shapes for computer vision
202359 citationsauthor #24
Radiomics prognostic analysis of PET/CT images in a multicenter head and neck cancer cohort: investigating ComBat strategies, sub-volume characterization, and automatic segmentation
202318 citationsauthor #8
“Fuzzy” radiomics: the way forward for nuclear medicine imaging applications?
20231 citationsauthor #1
Nuclear Medicine and Artificial Intelligence: Best Practices for Evaluation (the RELAINCE Guidelines)
202285 citationsauthor #4
PO-1245 Radiomics features and functional radiosensitivity enhances prediction of acute pulmonary toxicity.
20220 citationsauthor #6
External Validation of a Radiomics Model for the Prediction of Complete Response to Neoadjuvant Chemoradiotherapy in Rectal Cancer
202219 citationsauthor #6
Joint nnU-Net and Radiomics Approaches for Segmentation and Prognosis of Head and Neck Cancers with PET/CT images
20223 citationsauthor #6
Joint EANM/SNMMI guideline on radiomics in nuclear medicine
2022106 citationsauthor #1
Artificial Intelligence in Nuclear Medicine: Opportunities, Challenges, and Responsibilities Toward a Trustworthy Ecosystem
202246 citationsauthor #6
Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images
202299 citationsauthor #10
Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT
202257 citationsauthor #30
Evaluation of Importance Estimators in Deep Learning Classifiers for Computed Tomography
20224 citationsauthor #6
Statistical harmonization can improve the development of a multicenter CT based radiomic model predictive of non-response to induction chemotherapy in laryngeal cancers.
202119 citationsauthor #10
Prediction of recurrence after surgery in colorectal cancer patients using radiomics from diagnostic contrast-enhanced computed tomography: a two-center study
202121 citationsauthor #8
Simultaneous Mapping of Vasculature, Hypoxia, and Proliferation Using Dynamic Susceptibility Contrast MRI, 18F-FMISO PET, and 18F-FLT PET in Relation to Contrast Enhancement in Newly Diagnosed Glioblastoma
202120 citationsauthor #8
HEad and neCK TumOR segmentation and outcome prediction in PET/CT images
20214 citationsauthor #4
Predicting response to radiotherapy of head and neck squamous cell carcinoma using radiomics from cone-beam CT images
202121 citationsauthor #3
The added value of PSMA PET/MR radiomics for prostate cancer staging
202169 citationsauthor #16
A transfer learning approach to facilitate ComBat-based harmonization of multicentre radiomic features in new datasets
202134 citationsauthor #12
Development of a Radiomic-Based Model Predicting Lymph Node Involvement in Prostate Cancer Patients
202123 citationsauthor #6
Correction to: [18F]FDG PET radiomics to predict disease-free survival in cervical cancer: a multi-scanner/center study with external validation
20219 citationsauthor #10
Convolutional neural networks for PET functional volume fully automatic segmentation: development and validation in a multi-center setting
202125 citationsauthor #20
[18F]FDG PET radiomics to predict disease-free survival in cervical cancer: a multi-scanner/center study with external validation
202152 citationsauthor #10
Prediction of Complete Pathological Response to Neo-Adjuvant Chemoradiotherapy Using Magnetic Resonance Imaging-Based Radiomics Analysis in Locally Advanced Rectal Cancer.
20210 citationsauthor #7
Development and Validation of a Spatial Dose Pattern Based Model Predicting Acute Pulmonary Toxicity in Patients Treated With Volumetric Arc-Therapy for Locally Advanced Lung Cancer.
20210 citationsauthor #3
Comparison of radiomic pre-processing steps in the reproducible prediction of disease free survival across multi-scanners/centers
20210 citationsauthor #10
Squeeze-and-Excitation Normalization for Automated Delineation of Head and Neck Primary Tumors in Combined PET and CT Images
202164 citationsauthor #3
PO-1158 Validation of a spatial dose pattern predicting pulmonary toxicity in patients treated with VMAT for a lung cancer
20210 citationsauthor #3
Simultaneous mapping of vasculature, hypoxia and proliferation using DSC-MRI, 18F-FMISO PET, and 18F-FLT PET in relation to contrast enhancement in newly diagnosed glioblastoma
20210 citationsauthor #10
PO-1246 Prediction of response to neo-adjuvant chemoradiotherapy using radiomics in rectal cancer
20210 citationsauthor #8
Comparison and Fusion of Machine Learning Algorithms for Prospective Validation of PET/CT Radiomic Features Prognostic Value in Stage II-III Non-Small Cell Lung Cancer
202129 citationsauthor #5
Artificial intelligence: Deep learning in oncological radiomics and challenges of interpretability and data harmonization.
2021169 citationsauthor #11
Head and neck tumor segmentation in PET/CT: The HECKTOR challenge
2021157 citationsauthor #12
Radiogenomics in Colorectal Cancer
202129 citationsauthor #4
PSMA PET/MR radiomics to improve postsurgical Gleason score prediction in prostate cancer
20210 citationsauthor #7
Accurate Tumor Delineation vs. Rough Volume of Interest Analysis for 18F-FDG PET/CT Radiomics-Based Prognostic Modeling inNon-Small Cell Lung Cancer
20216 citationsauthor #5
Use of Baseline 18F-FDG PET/CT to Identify Initial Sub-Volumes Associated With Local Failure After Concomitant Chemoradiotherapy in Locally Advanced Cervical Cancer
20206 citationsauthor #7
PD-0658: Suboptimal dosimetric coverage of PET/CT hotspots is associated with recurrence for cervical cancer
20200 citationsauthor #9
Radiomics in PET/CT: Current Status and Future AI-Based Evolutions.
202056 citationsauthor #1
PO-1562: Radiomics applied to dose distributions to predict toxicity after radiotherapy in cervical cancer
20200 citationsauthor #8
PO-1530: Pulmonary toxicity in lung cancer treated by (chemo)-radiotherapy : a radiomics-based NTCP.
20200 citationsauthor #7
PO-1199: Rectal toxicity prostate cancer treated with Brachytherapy: a radiomics-machine learning based NTCP
20201 citationsauthor #10
Guidelines on Setting Up Stations for Remote Viewing of Nuclear Medicine and Molecular Imaging Studies During COVID-19
20205 citationsauthor #5
2019 List of Reviewers
20200 citationsauthor #118
PO-1551: Deep CNN on PET/CT images for NSCLC automated tumor detection and outcome prediction
20203 citationsauthor #7
Radiomics analysis of 3D dose distributions to predict toxicity of radiotherapy for lung cancer.
202047 citationsauthor #9
Use of PET derived features to predict mutational status in lung adenocarcinomas
20200 citationsauthor #4
PO-1535: Machine Learning and Oversampling techniques to predict urinary toxicity after prostate cancer RT
20200 citationsauthor #7
Harmonization strategies for multicenter radiomics investigations
2020124 citationsauthor #3
[Radiation-oncology horizon 2030: From microbiota to plasma laser].
20201 citationsauthor #6
Performance comparison of modified ComBat for harmonization of radiomic features for multicenter studies
202012 citationsauthor #16
Radiomics Analysis of 3D Dose Distributions to Predict Toxicity of Radiotherapy for Cervical Cancer
202019 citationsauthor #12
PO-1553: Development of a CT based radiomic model predictive of non-response to chemotherapy in larynx cancer
20200 citationsauthor #10
Non-invasive imaging prediction of tumor hypoxia: a novel developed and externally validated CT and FDG-PET-based radiomic signatures.
202025 citationsauthor #9
Squeeze-and-Excitation Normalization for Brain Tumor Segmentation
202013 citationsauthor #4
Can alternative PET reconstruction schemes improve the prognostic value of radiomic features in non-small cell lung cancer?
202010 citationsauthor #8
Performance comparison of modified ComBat for harmonization of radiomic features for multicenter studies
2020163 citationsauthor #16
External Validation of an MRI-Derived Radiomics Model to Predict Biochemical Recurrence after Surgery for High-Risk Prostate Cancer
202062 citationsauthor #15
Transcriptomics in cancer revealed by Positron Emission Tomography radiomics
202018 citationsauthor #9
PH-0283: Machine learning methods to predict rectal bleeding after prostate cancer radiotherapy
20200 citationsauthor #6
Pulmonary and Esophageal Toxicity in Lung Cancer Treated by (Chemo)-radiotherapy: A Radiomics-based Prediction Model
20202 citationsauthor #7
PO-1583: Non-invasive radiomic imaging prediction of tumour hypoxia: biomarker for FLASH irradiation?
20200 citationsauthor #5
Use of radiomics in the radiation oncology setting: Where do we stand and what do we need?
202010 citationsauthor #9
Machine learning for radiomics-based multi-modality and multi-parametric modeling.
201939 citationsauthor #3
Next-Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Algorithms
2019114 citationsauthor #6
Artificial intelligence, machine (deep) learning and radio(geno)mics: definitions and nuclear medicine imaging applications
2019122 citationsauthor #4
EP-1476 Validation of a combined PET and MRI radiomics model for prediction of recurrence in cervical cancer
20191 citationsauthor #13
SP-0218 Uncertainties in Radiomics
20190 citationsauthor #1
Potential Complementary Value of Noncontrast and Contrast Enhanced CT Radiomics in Colorectal Cancers.
201932 citationsauthor #3
Encoder-Decoder Network for Brain Tumor Segmentation on Multi-sequence MRI
20191 citationsauthor #4
Reoxygenation during radiotherapy in intermediate-risk prostate cancer.
201928 citationsauthor #13
Multicentric validation of radiomics findings: challenges and opportunities
201921 citationsauthor #1
Validation of an MRI-Derived Radiomics Model to Guide Patients Selection for Adjuvant Radiotherapy after Prostatectomy for High-Risk Prostate Cancer
20191 citationsauthor #13
MRI derived radiomics: Methodology and clinical applications in the field of pelvic oncology.
201951 citationsauthor #9
MRI-Derived Radiomics to Guide Post-operative Management for High-Risk Prostate Cancer
201941 citationsauthor #8
JMI 2018 List of Reviewers.
20190 citationsauthor #135
Pretreatment 18F-FDG PET/CT Radiomics Predict Local Recurrence in Patients Treated with Stereotactic Body Radiotherapy for Early-Stage Non–Small Cell Lung Cancer: A Multicentric Study
2019149 citationsauthor #16
Machine (Deep) Learning Methods for Image Processing and Radiomics
2019102 citationsauthor #1
Radiogenomics-based cancer prognosis in colorectal cancer
201948 citationsauthor #2
PO-0733 Non-invasive imaging for tumor hypoxia: a novel validated CT and FDG-PET-based Radiomic signature.
20190 citationsauthor #9
Revisiting the identification of tumor sub-volumes predictive of residual uptake after (chemo)radiotherapy: influence of segmentation methods on 18F-FDG PET/CT images
20196 citationsauthor #1
PO-0857 MRI-derived radiomics to select patients with high-risk prostate cancer for adjuvant radiotherapy
20190 citationsauthor #9
Radiomics: Data Are Also Images
2019102 citationsauthor #1
Image Enhancement With PDEs and Nonconservative Advection Flow Fields
201917 citationsauthor #5
EP-1936 PET/CT Radiomics predict local recurrence in patients treated with SBRT for early-stage NSCLC
20190 citationsauthor #2
Comparison of Radiomics Models Built Through Machine Learning in a Multicentric Context With Independent Testing: Identical Data, Similar Algorithms, Different Methodologies
201922 citationsauthor #13
EP-1892 Predictive Response To Radiotherapy Of Head And Neck Cancer Using Radiomics Analyses Of Cbct.
20190 citationsauthor #3
External validation of a combined PET and MRI radiomics model for prediction of recurrence in cervical cancer patients treated with chemoradiotherapy
2018159 citationsauthor #13
Heterogeneity analysis of 18F-FDG PET imaging in oncology: clinical indications and perspectives
201813 citationsauthor #2
SP-0355: Machine learning for radiomics and outcome modeling
20180 citationsauthor #1
Evaluation of tumor hypoxia prior to radiotherapy in intermediate-risk prostate cancer using 18F-fluoromisonidazole PET/CT: a pilot study
201820 citationsauthor #13
IBSI: an international community radiomics standardization initiative
201874 citationsauthor #1
PET/CT Radiomic Sequencer for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients
201813 citationsauthor #6
Prognostic Value of Head and Neck Tumor Proliferative Sphericity From 3’-Deoxy-3’-[18F] Fluorothymidine Positron Emission Tomography
201811 citationsauthor #9
Revisiting the identification of tumor sub-volumes predictive of residual uptake after (chemo)radiotherapy: comparison of segmentation methods on 18F-FDG PET/CT images
20180 citationsauthor #1

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