1 code implementation • EMNLP (ClinicalNLP) 2020 • Yifan Peng, SungWon Lee, Daniel C. Elton, Thomas Shen, Yu-Xing Tang, Qingyu Chen, Shuai Wang, Yingying Zhu, Ronald Summers, Zhiyong Lu
We then introduce an end-to-end approach based on the combination of rules and transformer-based methods to detect these abdominal lymph node mentions and classify their types from the MRI radiology reports.
no code implementations • Springer 2023 • Kexiang Ma, SungWon Lee, Hui Chen
The system requires the shortest time and has the best performance for processing color images.
no code implementations • 29 Jul 2022 • Seung Yeon Shin, SungWon Lee, Ronald M. Summers
To circumvent this, a series of cylinders that are fitted along the course of the small bowel are used to guide the tracking to more reliable directions.
no code implementations • 31 Mar 2022 • Tejas Sudharshan Mathai, SungWon Lee, Thomas C. Shen, Zhiyong Lu, Ronald M. Summers
Results: Experiments on 122 test T2 MRI volumes revealed that VFNet achieved a 51. 1% mAP and 78. 7% recall at 4 false positives (FP) per volume, while the one-stage model ensemble achieved a mAP of 52. 3% and sensitivity of 78. 7% at 4FP.
no code implementations • 9 Nov 2021 • Tejas Sudharshan Mathai, SungWon Lee, Daniel C. Elton, Thomas C. Shen, Yifan Peng, Zhiyong Lu, Ronald M. Summers
Identification of lymph nodes (LN) in T2 Magnetic Resonance Imaging (MRI) is an important step performed by radiologists during the assessment of lymphoproliferative diseases.
no code implementations • 1 Oct 2021 • Seung Yeon Shin, SungWon Lee, Ronald M. Summers
It is formulated as finding the minimum cost path between given start and end nodes on a graph that is constructed based on the bowel wall detection.
no code implementations • 2 Aug 2021 • SungWon Lee
This paper considers identification and inference for the distribution of treatment effects conditional on observable covariates.
no code implementations • 6 Jul 2021 • Seung Yeon Shin, SungWon Lee, Ronald M. Summers
We present a novel unsupervised domain adaptation method for small bowel segmentation based on feature disentanglement.
no code implementations • 22 May 2020 • Yingying Zhu, Daniel C. Elton, SungWon Lee, Perry J. Pickhardt, Ronald M. Summers
In medical imaging applications, preserving small structures is important since these structures can carry information which is highly relevant for disease diagnosis.
no code implementations • MIDL 2019 • Yingying Zhu, Daniel C. Elton, SungWon Lee, Perry J. Pickhardt, Ronald M. Summers
In medical imaging applications, preserving small structures is important since these structures can carry information which is highly relevant for disease diagnosis.