Shadab Ahamed
Orcid: 0000-0002-2051-6085
According to our database1,
Shadab Ahamed
authored at least 9 papers
between 2022 and 2024.
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Bibliography
2024
IgCONDA-PET: Implicitly-Guided Counterfactual Diffusion for Detecting Anomalies in PET Images.
CoRR, 2024
A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset.
CoRR, 2024
2023
Comprehensive Evaluation and Insights into the Use of Deep Neural Networks to Detect and Quantify Lymphoma Lesions in PET/CT Images.
CoRR, 2023
Generalized Dice Focal Loss trained 3D Residual UNet for Automated Lesion Segmentation in Whole-Body FDG PET/CT Images.
CoRR, 2023
State-of-the-art object detection algorithms for small lesion detection in PSMA PET: use of rotational maximum intensity projection (MIP) images.
Proceedings of the Medical Imaging 2023: Image Processing, 2023
A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset.
Proceedings of the Medical Imaging 2023: Image Processing, 2023
2022
Convolutional neural network with a hybrid loss function for fully automated segmentation of lymphoma lesions in FDG PET images.
Proceedings of the Medical Imaging 2022: Image Processing, 2022
A cascaded deep network for automated tumor detection and segmentation in clinical PET imaging of diffuse large B-cell lymphoma.
Proceedings of the Medical Imaging 2022: Image Processing, 2022
A U-Net Convolutional Neural Network with Multiclass Dice Loss for Automated Segmentation of Tumors and Lymph Nodes from Head and Neck Cancer PET/CT Images.
Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2022