Debanjan Haldar

Children's Hospital of Philadelphia — United States

Medicine · Health Sciences

12h-index524citations49works6.02yr avg
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Research Topics

Radiomics and Machine Learning in Medical Imaging(31), Glioma Diagnosis and Treatment(28), Brain Tumor Detection and Classification(10), Ferroptosis and cancer prognosis(5), Medical Imaging Techniques and Applications(4)

Publications49 total

AI-powered segmentation and prognosis with missing MRI in pediatric brain tumors
npj Precision Oncology·2026Open Access
BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023
The Journal of Machine Learning for Biomedical Imaging·2025· 6 citedOpen Access
Two-level classification for differential diagnosis and molecular subtype classification of pediatric medulloblastoma from other posterior fossa tumors
2025
Multiparametric MRI along with machine learning predicts prognosis and treatment response in pediatric low-grade glioma
Nature Communications·2025· 12 citedOpen Access
BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023
arXiv (Cornell University)·2024· 4 citedOpen Access
IMG-18. DIFFERENTIAL DIAGNOSIS OF POSTERIOR FOSSA TUMORS USING RADIOMICS; A FIRST-LINE DIAGNOSTIC STEP REQUIRED FOR DOWNSTREAM ANALYSES
Neuro-Oncology·2024· 1 citedOpen Access
The Brain Tumor Segmentation (BraTS) Challenge 2023: <i>Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs)</i>.
PubMed·2024· 10 citedOpen Access
Towards consistency in pediatric brain tumor measurements: Challenges, solutions, and the role of artificial intelligence-based segmentation
Neuro-Oncology·2024· 17 citedOpen Access
Introducing a novel hybrid educational boot camp to augment medical student training in neurosurgery
Journal of neurosurgery·2024· 1 cited
Training and Comparison of nnU-Net and DeepMedic Methods for Autosegmentation of Pediatric Brain Tumors
American Journal of Neuroradiology·2024· 25 citedOpen Access
The Brain Tumor Segmentation in Pediatrics (BraTS-PEDs) Challenge: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs)
arXiv (Cornell University)·2024· 4 citedOpen Access
Multiparametric MRI Along with Machine Learning Informs on Molecular Underpinnings, Prognosis, and Treatment Response in Pediatric Low-Grade Glioma
2024· 1 citedOpen Access
755 Pathology in the Digital Era of Neuro-oncology: A Pathomics-Based Approach to Modeling Outcomes in Medulloblastoma
Neurosurgery·2024· 2 cited
Training and Comparison of nnU-Net and DeepMedic Methods for Autosegmentation of Pediatric Brain Tumors
arXiv (Cornell University)·2024· 1 citedOpen Access
NIMG-32. MULTI-MODAL ANALYSIS UNCOVERS DIFFERENTIALLY REGULATED PATHWAYS ASSOCIATED WITH RADIO-PHENOTYPES IN PEDIATRIC LOW-GRADE GLIOMA
Neuro-Oncology·2023Open Access
NIMG-42. RADIOIMMUNOMIC SIGNATURES IN PEDIATRIC LOW-GRADE GLIOMA FOR NON-INVASIVE IDENTIFICATION OF IMMUNOTHERAPEUTIC TARGETS
Neuro-Oncology·2023Open Access
NIMG-87. PEDIATRIC BRAIN TUMOR SEGMENTATION INITIATIVE AT CHILDREN’S BRAIN TUMOR NETWORK (CBTN); PROJECT UPDATE ON IMPROVED PERFORMANCE AND FUTURE PROSPECTS
Neuro-Oncology·2023Open Access
A multi-institutional pediatric dataset of clinical radiology MRIs by the Children's Brain Tumor Network
PubMed·2023· 6 citedOpen Access
Statistical plots in oncologic imaging, a primer for neuroradiologists
The Neuroradiology Journal·2023· 2 citedOpen Access
SDPS-41 PATHOMICS AUGMENTS PREDICTIVE SURVIVAL MODELLINGIN MEDULLOBLASTOMA
Neuro-Oncology Advances·2023Open Access
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Frequent Co-authors

Ariana Familiar(36), Anahita Fathi Kazerooni(34), Ali Nabavizadeh(32), Arastoo Vossough(31), Sina Bagheri(30), Adam Resnick(30), Nastaran Khalili(27), Jeffrey B. Ware(27), Phillip B. Storm(25), Hannah Anderson(24), Christos Davatzikos(19), Meen Chul Kim(14), Karthik Viswanathan(13), Sherjeel Arif(12), Rachel Madhogarhia(12), Aria Mahtabfar(12), Shuvanjan Haldar(11), Wenxin Tu(11), Mariam Aboian(9), Adam Kraya(9)