Publications | Tal Zeevi

FDG-PET intensity normalization improves radiomics-based survival prediction in oropharyngeal cancer patients: a comparison of the SUV with alternative normalization techniques

American Journal of Neuroradiology, 2025

Paper

[9]

F Chen, Y Du, T Zeevi, NC Dvornek, JA Onofrey

Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology

arXiv preprint arXiv:2505.05689, 2025

Paper

[10]

M von Reppert, S Chadha, K Willms, A Avesta, N Maleki, T Zeevi, J Lost, ...

Image-Based Search in Radiology: Identification of Brain Tumor Subtypes within Databases using MRI-Based Radiomic Features

American Journal of Neuroradiology 46 (7), 1421-1428, 2025

Paper

[11]

AT Tran, T Zeevi, S Payabvash

Strategies to Improve the Robustness and Generalizability of Deep Learning Segmentation and Classification in Neuroimaging

BioMedInformatics 5 (2), 20, 2025

Paper

[11]

H Acosta-Rodriguez, P Bobba, A Stephan, T Zeevi, A Malhotra, AT Tran, ...

Impact of Childhood Neighborhood Deprivation on White Matter and Functional Connectivity During Adolescence

Journal of Neuroimaging 35 (5), e70087, 2025

Paper

[12]

H Acosta-Rodriguez, P Bobba, T Zeevi, LR Ment, S Payabvash

The Effect of Prenatal Marijuana Exposure on White Matter Microstructure and Cortical Morphology During Late Childhood

American Journal of Neuroradiology, 2025

Paper

[13]

F Chen, R Esmaili, G Khajir, T Zeevi, M Gross, M Leapman, P Sprenkle, ...

Comparative Performance of Machine Learning Models in Reducing Unnecessary Targeted Prostate Biopsies

European Urology Oncology, 2025

Paper

2024

[13]

AT Tran, D Desser, T Zeevi, G Abou Karam, J Zietz, A Dell'Orco, MC Chen, ...

Optimizing Automated Hematoma Expansion Classification from Baseline and Follow-Up Head Computed Tomography

Applied Sciences 15 (1), 111, 2024

Paper

[14]

AT Tran, D Desser, T Zeevi, G Abou Karam, F Dierksen, A Dell'Orco, ...

Hybrid Transformer-Convolutional Neural Network for Segmentation of Intracerebral Hemorrhage and Perihematomal Edema on Non-Contrast Head Computed Tomography (CT) with Uncertainty Quantification to Improve Confidence

Bioengineering 11 (12), 1274, 2024

Paper

[15]

H Acosta-Rodriguez, C Yuan, P Bobba, A Stephan, T Zeevi, A Malhotra, ...

Neuroimaging Correlates of the NIH-Toolbox-Driven Cognitive Metrics in Children

Journal of Integrative Neuroscience 23 (12), 217, 2024

Paper

[16]

J Sommer, F Dierksen, T Zeevi, AT Tran, EW Avery, A Mak, A Malhotra, ...

Deep learning for prediction of post-thrombectomy outcomes based on admission CT angiography in large vessel occlusion stroke

Frontiers in Artificial Intelligence 7, 1369702, 2024

Paper

[17]

T Zeevi, R Venkataraman, LH Staib, JA Onofrey

Monte-Carlo Frequency Dropout for Predictive Uncertainty Estimation in Deep Learning

IEEE International Symposium on Biomedical Imaging (ISBI), 2024

Paper

[18]

SP Haider, T Zeevi, K Sharaf, M Gross, A Mahajan, BH Kann, BL Judson, ...

Impact of 18F-FDG PET Intensity Normalization on Radiomic Features of Oropharyngeal Squamous Cell Carcinomas and Machine Learning-Generated Biomarkers

Journal of Nuclear Medicine 65 (5), 803-809, 2024

Paper

[19]

M Gross, SP Haider, T Zeevi, S Huber, S Arora, AS Kucukkaya, S Iseke, ...

Automated graded prognostic assessment for patients with hepatocellular carcinoma using machine learning

European Radiology 34 (10), 6940-6952, 2024

Paper

[20]

EW Avery, A Abou-Karam, S Abi-Fadel, J Behland, A Mak, SP Haider, ...

Radiomics-Based Prediction of Collateral Status from CT Angiography of Patients Following a Large Vessel Occlusion Stroke

Diagnostics 14 (5), 485, 2024

Paper

[21]

AT Tran, T Zeevi, SP Haider, G Abou Karam, ER Berson, H Tharmaseelan, ...

Uncertainty-aware Deep-learning Model for Prediction of Supratentorial Hematoma Expansion from Admission Non-Contrast Head Computed Tomography Scan

NPJ Digital Medicine 7 (1), 26, 2024

Paper

[22]

M Gross, S Huber, S Arora, T Zeevi, SP Haider, AS Kucukkaya, S Iseke, ...

Automated MRI liver segmentation for anatomical segmentation, liver volumetry, and the extraction of radiomics

European Radiology 34 (8), 5056-5065, 2024

Paper

[23]

F Dierksen, AT Tran, T Zeevi, IL Maier, AI Qureshi, PC Sanelli, DJ Werring, ...

Peri-hematomal edema shape features related to 3-month outcome in acute supratentorial intracerebral hemorrhage

European Stroke Journal 9 (2), 383-390, 2024

Paper

2023

[24]

T Zeevi, MS Leapman, PC Sprenkle, R Venkataraman, LH Staib, ...

Reliable Prostate Cancer Risk Mapping from MRI Using Targeted and Systematic Core Needle Biopsy Histopathology

IEEE Transactions on Biomedical Engineering 71 (3), 1084-1091, 2023

Paper

[25]

AS Kucukkaya, T Zeevi, NX Chai, R Raju, SP Haider, M Elbanan, ...

Predicting tumor recurrence on baseline MR imaging in patients with early-stage hepatocellular carcinoma using deep machine learning

Scientific Reports 13 (1), 7579, 2023

Paper

[26]

S Iseke, T Zeevi, AS Kucukkaya, R Raju, M Gross, SP Haider, ...

Machine learning models for prediction of posttreatment recurrence in early-stage hepatocellular carcinoma using pretreatment clinical and MRI features

American Journal of Roentgenology 220 (2), 245-255, 2023

Paper

2022

[27]

EW Avery, J Behland, A Mak, SP Haider, T Zeevi, PC Sanelli, CG Filippi, ...

Dataset on acute stroke risk stratification from CT angiographic radiomics

Data in Brief 44, 108542, 2022

Paper

[28]

N Paulson*, T Zeevi*, M Papademetris, MS Leapman, JA Onofrey, ...

Prediction of Adverse Pathology at Radical Prostatectomy in Grade Group 2 and 3 Prostate Biopsies Using Machine Learning

JCO Clinical Cancer Informatics 6, e2200016, 2022

Paper

[29]

A Petukhova-Greenstein, T Zeevi, J Yang, N Chai, P DiDomenico, Y Deng, ...

MR Imaging Biomarkers for the Prediction of Outcome after Radiofrequency Ablation of Hepatocellular Carcinoma

Journal of Vascular and Interventional Radiology 33 (7), 814-824, 2022

Paper

[30]

S Merkaj, RC Bahar, T Zeevi, MD Lin, I Ikuta, K Bousabarah, ...

Machine Learning Tools for Image-Based Glioma Grading and the Quality of Their Reporting: Challenges and Opportunities

Cancers 14 (11), 2623, 2022

Paper

[31]

RC Bahar, S Merkaj, GI Cassinelli Petersen, N Tillmanns, H Subramanian, ...

Machine learning models for classifying high-and low-grade gliomas: A systematic review and quality of reporting analysis

Frontiers in Oncology 12, 856231, 2022

Paper

[32]

GIC Petersen, J Shatalov, T Verma, WR Brim, H Subramanian, A Brackett, RC Bahar, S Merkaj, T Zeevi, ...

Machine learning in differentiating gliomas from primary CNS lymphomas

American Journal of Neuroradiology 43 (4), 526-533, 2022

Paper

[33]

L Jekel, WR Brim, M von Reppert, L Staib, G Cassinelli Petersen, ...

Machine learning applications for differentiation of glioma from brain metastasis-a systematic review

Cancers 14 (6), 1369, 2022

Paper

[34]

R Malpani, CW Petty, J Yang, N Bhatt, T Zeevi, V Chockalingam, R Raju, ...

Quantitative automated segmentation of lipiodol deposits on cone-beam CT imaging acquired during transarterial chemoembolization for liver tumors: a deep learning approach

Journal of Vascular and Interventional Radiology 33 (3), 324-332, 2022

Paper

[35]

M Aboian, K Bousabarah, E Kazarian, T Zeevi, W Holler, S Merkaj, ...

Clinical implementation of artificial intelligence in neuroradiology with development of a novel workflow-efficient picture archiving and communication system-based automated brain tumor segmentation and radiomic feature extraction

Frontiers in Neuroscience 16, 860208, 2022

Paper

[36]

N Tillmanns, AE Lum, G Cassinelli, S Merkaj, T Verma, T Zeevi, L Staib, ...

Identifying clinically applicable machine learning algorithms for glioma segmentation: recent advances and discoveries

Neuro-Oncology Advances 4 (1), vdac093, 2022

Paper

[37]

EW Avery, J Behland, A Mak, SP Haider, T Zeevi, PC Sanelli, CG Filippi, ...

CT angiographic radiomics signature for risk stratification in anterior large vessel occlusion stroke

NeuroImage: Clinical 34, 103034, 2022

Paper

2021 and earlier

[38]

SP Haider, AI Qureshi, A Jain, H Tharmaseelan, ER Berson, T Zeevi, ...

Admission computed tomography radiomic signatures outperform hematoma volume in predicting baseline clinical severity and functional outcome in the ATACH-2 trial intracerebral hemorrhage population

European Journal of Neurology 28 (9), 2989-3000, 2021

Paper

[39]

NX Chai, J Chapiro, A Petukhova, M Gross, A Kucukkaya, R Raju, T Zeevi, ...

Thermal ablation alone vs thermal ablation combined with transarterial chemoembolization for patients with small (< 3 cm) hepatocellular carcinoma

Clinical Imaging 76, 123-129, 2021

Paper

[40]

LA Doemel, J Chapiro, F Laage Gaupp, LJ Savic, AS Kucukkaya, ...

Reliable prediction of survival in advanced-stage hepatocellular carcinoma treated with sorafenib: comparing 1D and 3D quantitative tumor response criteria on MRI

European Radiology 31 (5), 2737-2746, 2021

Paper

[41]

SP Haider, K Sharaf, T Zeevi, P Baumeister, C Reichel, R Forghani, ...

Prediction of post-radiotherapy locoregional progression in HPV-associated oropharyngeal squamous cell carcinoma using machine-learning analysis of baseline PET/CT radiomics

Translational Oncology 14 (1), 100906, 2021

Paper

[42]

SP Haider, A Mahajan, T Zeevi, P Baumeister, C Reichel, K Sharaf, ...

PET/CT radiomics signature of human papilloma virus association in oropharyngeal squamous cell carcinoma

European Journal of Nuclear Medicine and Molecular Imaging 47 (13), 2978-2991, 2020

Paper

[43]

SP Haider, T Zeevi, P Baumeister, C Reichel, K Sharaf, R Forghani, ...

Potential added value of PET/CT radiomics for survival prognostication beyond AJCC 8th edition staging in oropharyngeal squamous cell carcinoma

Cancers 12 (7), 1778, 2020

Paper

[44]

T Zeevi, R Zivan, O Lev

Socially motivated partial cooperation in multi-agent local search

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18), 2018

Paper

[45]

H Bar-Gera, O Musicant, E Schechtman, T Zeevi

Quantifying the yellow signal driver behavior based on naturalistic data from digital enforcement cameras

Accident Analysis & Prevention 96, 371-381, 2016

Paper

[46]

H Bar-Gera, E Schechtman, T Zeevi, O Musicant

Yellow Signal Driver Crossing Behavior

2015 IEEE 18th International Conference on Intelligent Transportation Systems, 2015

Paper