activity
20212025
most citedLong-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study

54 citations · 70 across the 6 of their papers we have counts for

collaborators

7 papers

eess.IV2025

Universal Lymph Node Detection in Multiparametric MRI with Selective Augmentation

Tejas Sudharshan Mathai, Sungwon Lee, Thomas C. Shen +2

Robust localization of lymph nodes (LNs) in multiparametric MRI (mpMRI) is critical for the assessment of lymphadenopathy. Radiologists routinely measure the size of LN to distingu…

cs.CV2023★ 10 cited

How Does Pruning Impact Long-Tailed Multi-Label Medical Image Classifiers?

Gregory Holste, Ziyu Jiang, Ajay Jaiswal +12

Pruning has emerged as a powerful technique for compressing deep neural networks, reducing memory usage and inference time without significantly affecting overall performance. Howe…

eess.IV2023★ 4 cited

Improving Segmentation and Detection of Lesions in CT Scans Using Intensity Distribution Supervision

Seung Yeon Shin, Thomas C. Shen, Ronald M. Summers

We propose a method to incorporate the intensity information of a target lesion on CT scans in training segmentation and detection networks. We first build an intensity-based lesio…

cs.CV2022★ 54 cited

Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study

Gregory Holste, Song Wang, Ziyu Jiang +5

Imaging exams, such as chest radiography, will yield a small set of common findings and a much larger set of uncommon findings. While a trained radiologist can learn the visual pre…

eess.IV2022★ 2 cited

Improving Small Lesion Segmentation in CT Scans using Intensity Distribution Supervision: Application to Small Bowel Carcinoid Tumor

Seung Yeon Shin, Thomas C. Shen, Stephen A. Wank +1

Finding small lesions is very challenging due to lack of noticeable features, severe class imbalance, as well as the size itself. One approach to improve small lesion segmentation…

eess.IV2022

Universal Lymph Node Detection in T2 MRI using Neural Networks

Tejas Sudharshan Mathai, Sungwon Lee, Thomas C. Shen +2

Purpose: Identification of abdominal Lymph Nodes (LN) that are suspicious for metastasis in T2 Magnetic Resonance Imaging (MRI) scans is critical for staging of lymphoproliferative…

eess.IV2021

Lymph Node Detection in T2 MRI with Transformers

Tejas Sudharshan Mathai, Sungwon Lee, Daniel C. Elton +4

Identification of lymph nodes (LN) in T2 Magnetic Resonance Imaging (MRI) is an important step performed by radiologists during the assessment of lymphoproliferative diseases. The…