Gowtham Krishnan Murugesan

Grand Rapids Women's Health — United States

Medicine · Health Sciences

14h-index776citations57works2.02yr avg
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Research Topics

Radiomics and Machine Learning in Medical Imaging(32), Brain Tumor Detection and Classification(15), Advanced Neural Network Applications(10), Glioma Diagnosis and Treatment(10), AI in cancer detection(9)

Publications56 total

AutoPET Challenge on Fully Automated Lesion Segmentation in Oncologic PET/CT Imaging, Part 2: Domain Generalization
Journal of Nuclear Medicine·2025· 1 cited
AI generated annotations for Breast, Brain, Liver, Lungs, and Prostate cancer collections in the National Cancer Institute Imaging Data Commons
Scientific Data·2025· 1 citedOpen Access
AI-Generated Annotations Dataset for Diverse Cancer Radiology Collections in NCI Image Data Commons
Scientific Data·2024· 4 citedOpen Access
AI generated annotations for Breast, Brain, Liver, Lungs and Prostate cancer collections in National Cancer Institute Imaging Data Commons
arXiv (Cornell University)·2024Open Access
Synthesizing Contrast-Enhanced MR Images from Noncontrast MR Images Using Deep Learning
American Journal of Neuroradiology·2024· 4 citedOpen Access
Image segmentations produced by BAMF under the AIMI Annotations initiative
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
Improving Lesion Segmentation in FDG-18 Whole-Body PET/CT scans using Multilabel approach: AutoPET II challenge
arXiv (Cornell University)·2023Open Access
Image segmentations produced by the AIMI Annotations initiative
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
AI-Generated Annotations Dataset for Diverse Cancer Radiology Collections in NCI Image Data Commons
arXiv (Cornell University)·2023· 1 citedOpen Access
Image segmentations produced by the AIMI Annotations initiative
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
Image segmentations produced by the AIMI Annotations initiative
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
Image segmentations produced by the AIMI Annotations initiative
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
AI-derived and Manually corrected segmentations for various IDC Collections
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
AI-derived and Manually corrected segmentations for various IDC Collections
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
Image segmentations produced by the AIMI Annotations initiative
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
Automatic Abdominal Multi Organ Segmentation using Residual UNet
2023· 3 citedOpen Access
Automatic Whole Body FDG PET/CT Lesion Segmentation using Residual UNet and Adaptive Ensemble
2023· 2 citedOpen Access
Errata: Brain tumor IDH, 1p/19q, and MGMT molecular classification using MRI-based deep learning: an initial study on the effect of motion and motion correction
Journal of Medical Imaging·2023Open Access
Detection of brain tumour using machine learning based framework by classifying MRI images
International Journal of Nanotechnology·2023· 2 cited
Detection of brain tumour using machine learning based framework by classifying MRI images
International Journal of Nanotechnology·2023
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Frequent Co-authors

Joseph A. Maldjian(29), Sahil Nalawade(21), Ananth J. Madhuranthakam(20), Baowei Fei(18), Ben Wagner(18), Chandan Ganesh Bangalore Yogananda(14), Marco C. Pinho(13), Diana McCrumb(12), Rahul Soni(11), Benjamin Wagner(10), Bruce Mickey(10), Bhavya Shah(9), Elizabeth M. Davenport(9), Jeff Van Oss(9), Toral Patel(8), Fang Yu(8), Chandan Ganesh(8), Albert Montillo(7), Frank Yu(6), Christopher T. Whitlow(6)