Search Results for author:
Found 5 papers, 4 papers with code
Heatmap Regression for Lesion Detection using Pointwise Annotations
In many clinical contexts, detecting all lesions is imperative for evaluating disease activity.
Segmentation-Consistent Probabilistic Lesion Counting
Lesion counts are important indicators of disease severity, patient prognosis, and treatment efficacy, yet counting as a task in medical imaging is often overlooked in favor of segmentation.
Common Limitations of Image Processing Metrics: A Picture Story
While the importance of automatic image analysis is continuously increasing, recent meta-research revealed major flaws with respect to algorithm validation.
SoftLoc: Robust Temporal Localization under Label Misalignment
This work addresses the long-standing problem of robust event localization in the presence of temporally of misaligned labels in the training data.
Weakly-Supervised Temporal Localization via Occurrence Count Learning
We propose a novel model for temporal detection and localization which allows the training of deep neural networks using only counts of event occurrences as training labels.
