Picture for Shadab Ahamed

Shadab Ahamed

Iterative Flow Matching -- Path Correction and Gradual Refinement for Enhanced Generative Modeling

Add code
Feb 26, 2025
Viaarxiv icon

Inversion of Magnetic Data using Learned Dictionaries and Scale Space

Add code
Feb 08, 2025
Viaarxiv icon

Adaptive Voxel-Weighted Loss Using L1 Norms in Deep Neural Networks for Detection and Segmentation of Prostate Cancer Lesions in PET/CT Images

Add code
Feb 04, 2025
Figure 1 for Adaptive Voxel-Weighted Loss Using L1 Norms in Deep Neural Networks for Detection and Segmentation of Prostate Cancer Lesions in PET/CT Images
Figure 2 for Adaptive Voxel-Weighted Loss Using L1 Norms in Deep Neural Networks for Detection and Segmentation of Prostate Cancer Lesions in PET/CT Images
Figure 3 for Adaptive Voxel-Weighted Loss Using L1 Norms in Deep Neural Networks for Detection and Segmentation of Prostate Cancer Lesions in PET/CT Images
Figure 4 for Adaptive Voxel-Weighted Loss Using L1 Norms in Deep Neural Networks for Detection and Segmentation of Prostate Cancer Lesions in PET/CT Images
Viaarxiv icon

DAWN-SI: Data-Aware and Noise-Informed Stochastic Interpolation for Solving Inverse Problems

Add code
Dec 06, 2024
Viaarxiv icon

AutoPET Challenge III: Testing the Robustness of Generalized Dice Focal Loss trained 3D Residual UNet for FDG and PSMA Lesion Segmentation from Whole-Body PET/CT Images

Add code
Sep 16, 2024
Viaarxiv icon

Thyroidiomics: An Automated Pipeline for Segmentation and Classification of Thyroid Pathologies from Scintigraphy Images

Add code
Jul 14, 2024
Viaarxiv icon

IgCONDA-PET: Implicitly-Guided Counterfactual Diffusion for Detecting Anomalies in PET Images

Add code
Apr 30, 2024
Viaarxiv icon

A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset

Add code
Mar 11, 2024
Viaarxiv icon

A cascaded deep network for automated tumor detection and segmentation in clinical PET imaging of diffuse large B-cell lymphoma

Add code
Mar 11, 2024
Viaarxiv icon

Comprehensive Evaluation and Insights into the Use of Deep Neural Networks to Detect and Quantify Lymphoma Lesions in PET/CT Images

Add code
Nov 16, 2023
Viaarxiv icon