activity
20202026
most citedCaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical Objects

141 citations · 249 across the 17 of their papers we have counts for

collaborators

17 papers

eess.IV2026

Pretreatment DCE-MRI Resolves Response Quality Within Pathologic Endpoints in Neoadjuvant Breast Cancer

Dattatreya Kantha, Murray H. Loew

Pathologic complete response (pCR) is a strong neoadjuvant endpoint, yet 5-15% of complete responders recur and clinical/genomic variables do not reliably identify them. We tested…

eess.IV2026

Pretreatment MRI reveals a latent, molecular-subtype-independent structural phenotype that organizes treatment trajectories and recurrence risk

Dattatreya Kantha, Murray H. Loew

Pathologic complete response and tumor shrinkage measure whether breast cancer responds to neoadjuvant therapy, but not whether that response was structurally favorable, persistent…

eess.IV2023★ 141 cited

CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical Objects

Ange Lou, Shuyue Guan, Murray Loew

Segmenting medical images accurately and reliably is important for disease diagnosis and treatment. It is a challenging task because of the wide variety of objects' sizes, shapes,…

eess.IV2021

A Teacher-Student Framework with Fourier Augmentation for COVID-19 Infection Segmentation in CT Images

Han Chen, Yifan Jiang, Hanseok Ko +1

Automatic segmentation of infected regions in computed tomography (CT) images is necessary for the initial diagnosis of COVID-19. Deep-learning-based methods have the potential to…

eess.IV2021★ 5 cited

CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical Objects

Ange Lou, Shuyue Guan, Hanseok Ko +1

Segmenting medical images accurately and reliably is important for disease diagnosis and treatment. It is a challenging task because of the wide variety of objects' sizes, shapes,…

cs.LG2021

A Distance-based Separability Measure for Internal Cluster Validation

Shuyue Guan, Murray Loew

To evaluate clustering results is a significant part of cluster analysis. Since there are no true class labels for clustering in typical unsupervised learning, many internal cluste…