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Iradiology
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June 2, 2025
Artificial Intelligence and Radiomics Applied to Prostate Cancer Bone Metastasis Imaging: A Review
S J Pawan, Joseph Rich, Jonathan Le, et al.
Multimodal Technologies and Interaction
|
March 30, 2026
Integrated Hyperparameter Optimization with Dimensionality Reduction and Clustering for Radiomics: A Bootstrapped Approach
S J Pawan, Matthew Muellner, Xiaomeng Lei, et al.
IEEE Journal of Biomedical and Health Informatics
|
September 15, 2020
Multi-Res-Attention UNet: A CNN Model for the Segmentation of Focal Cortical Dysplasia Lesions from Magnetic Resonance Images
Edwin Thomas, S J Pawan, Shushant Kumar, et al.
Journal of Imaging
|
June 25, 2025
A Study on Energy Consumption in AI-Driven Medical Image Segmentation
R Prajwal, S J Pawan, Shahin Nazarian, et al.
Journal of Cancer Research and Clinical Oncology
|
June 11, 2025
Radiogenomic correlation of hypoxia-related biomarkers in clear cell renal cell carcinoma
Yijun Shao, Harmony S Cen, Anu Dhananjay, et al.
Journal of Imaging Informatics in Medicine
|
January 6, 2026
Multiphase CT-Based Tumor and Peritumoral Radiomics for Characterization of Clear Cell Renal Cell Carcinoma
Matt Muellner, S J Pawan, Xiaomeng Lei, et al.
PLOS Digital Health
|
February 20, 2026
Machine learning based classification of aggressive and malignant renal tumors from multimodal data
Mehrnegar Aminy, Tejal Gala, Agnimitra Dasgupta, et al.
Medical & Biological Engineering & Computing
|
May 14, 2021
Capsule Network-based architectures for the segmentation of sub-retinal serous fluid in optical coherence tomography images of central serous chorioretinopathy
S J Pawan, Rahul Sankar, Anubhav Jain, et al.
Journal of Imaging
|
June 25, 2025
Prediction of PD-L1 and CD68 in Clear Cell Renal Cell Carcinoma with Green Learning
Yixing Wu, Alexander Shieh, Steven Cen, et al.
European Journal of Radiology Artificial Intelligence
|
March 13, 2026
Deep learning-based detection and segmentation of osseous metastatic prostate cancer lesions on computed tomography
S J Pawan, Joseph Matthew Rich, Shreyas Malewar, et al.
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Search research articles
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Showing results (1-10 of 10) with videos related to
Sort By:
Page
of 1
Iradiology
|
June 2, 2025
Artificial Intelligence and Radiomics Applied to Prostate Cancer Bone Metastasis Imaging: A Review
S J Pawan, Joseph Rich, Jonathan Le, et al.
Multimodal Technologies and Interaction
|
March 30, 2026
Integrated Hyperparameter Optimization with Dimensionality Reduction and Clustering for Radiomics: A Bootstrapped Approach
S J Pawan, Matthew Muellner, Xiaomeng Lei, et al.
IEEE Journal of Biomedical and Health Informatics
|
September 15, 2020
Multi-Res-Attention UNet: A CNN Model for the Segmentation of Focal Cortical Dysplasia Lesions from Magnetic Resonance Images
Edwin Thomas, S J Pawan, Shushant Kumar, et al.
Journal of Imaging
|
June 25, 2025
A Study on Energy Consumption in AI-Driven Medical Image Segmentation
R Prajwal, S J Pawan, Shahin Nazarian, et al.
Journal of Cancer Research and Clinical Oncology
|
June 11, 2025
Radiogenomic correlation of hypoxia-related biomarkers in clear cell renal cell carcinoma
Yijun Shao, Harmony S Cen, Anu Dhananjay, et al.
Journal of Imaging Informatics in Medicine
|
January 6, 2026
Multiphase CT-Based Tumor and Peritumoral Radiomics for Characterization of Clear Cell Renal Cell Carcinoma
Matt Muellner, S J Pawan, Xiaomeng Lei, et al.
PLOS Digital Health
|
February 20, 2026
Machine learning based classification of aggressive and malignant renal tumors from multimodal data
Mehrnegar Aminy, Tejal Gala, Agnimitra Dasgupta, et al.
Medical & Biological Engineering & Computing
|
May 14, 2021
Capsule Network-based architectures for the segmentation of sub-retinal serous fluid in optical coherence tomography images of central serous chorioretinopathy
S J Pawan, Rahul Sankar, Anubhav Jain, et al.
Journal of Imaging
|
June 25, 2025
Prediction of PD-L1 and CD68 in Clear Cell Renal Cell Carcinoma with Green Learning
Yixing Wu, Alexander Shieh, Steven Cen, et al.
European Journal of Radiology Artificial Intelligence
|
March 13, 2026
Deep learning-based detection and segmentation of osseous metastatic prostate cancer lesions on computed tomography
S J Pawan, Joseph Matthew Rich, Shreyas Malewar, et al.
Page
of 1