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20162024
most citedImage quality assessment for machine learning tasks using meta-reinforcement learning

51 citations · 76 across the 18 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

eess.IV2022★ 1 cited

Correlated Feature Aggregation by Region Helps Distinguish Aggressive from Indolent Clear Cell Renal Cell Carcinoma Subtypes on CT

Karin Stacke, Indrani Bhattacharya, Justin R. Tse +3

Renal cell carcinoma (RCC) is a common cancer that varies in clinical behavior. Indolent RCC is often low-grade without necrosis and can be monitored without treatment. Aggressive…

eess.IV2022★ 2 cited

Domain Generalization for Prostate Segmentation in Transrectal Ultrasound Images: A Multi-center Study

Sulaiman Vesal, Iani Gayo, Indrani Bhattacharya +7

Prostate biopsy and image-guided treatment procedures are often performed under the guidance of ultrasound fused with magnetic resonance images (MRI). Accurate image fusion relies…

eess.IV2022

Collaborative Quantization Embeddings for Intra-Subject Prostate MR Image Registration

Ziyi Shen, Qianye Yang, Yuming Shen +9

Image registration is useful for quantifying morphological changes in longitudinal MR images from prostate cancer patients. This paper describes a development in improving the lear…

eess.IV2022★ 51 cited

Image quality assessment for machine learning tasks using meta-reinforcement learning

Shaheer U. Saeed, Yunguan Fu, Vasilis Stavrinides +8

In this paper, we consider image quality assessment (IQA) as a measure of how images are amenable with respect to a given downstream task, or task amenability. When the task is per…

eess.IV2022★ 10 cited

Image quality assessment by overlapping task-specific and task-agnostic measures: application to prostate multiparametric MR images for cancer segmentation

Shaheer U. Saeed, Wen Yan, Yunguan Fu +9

Image quality assessment (IQA) in medical imaging can be used to ensure that downstream clinical tasks can be reliably performed. Quantifying the impact of an image on the specific…