activity
20182026
most citedMONAI: An open-source framework for deep learning in healthcare

452 citations · 1.1k across the 46 of their papers we have counts for

collaborators
Showing 2019Show all

7 papers · 1 filter

cs.CV2019★ 2 cited

Internal-transfer Weighting of Multi-task Learning for Lung Cancer Detection

Yiyuan Yang, Riqiang Gao, Yucheng Tang +6

Recently, multi-task networks have shown to both offer additional estimation capabilities, and, perhaps more importantly, increased performance over single-task networks on a "main…

eess.IV2019★ 24 cited

Stochastic tissue window normalization of deep learning on computed tomography

Yuankai Huo, Yucheng Tang, Yunqiang Chen +8

Tissue window filtering has been widely used in deep learning for computed tomography (CT) image analyses to improve training performance (e.g., soft tissue windows for abdominal C…

eess.IV2019★ 3 cited

Contrast Phase Classification with a Generative Adversarial Network

Yucheng Tang, Ho Hin Lee, Yuchen Xu +10

Dynamic contrast enhanced computed tomography (CT) is an imaging technique that provides critical information on the relationship of vascular structure and dynamics in the context…

eess.IV2019

Semi-Supervised Multi-Organ Segmentation through Quality Assurance Supervision

Ho Hin Lee, Yucheng Tang, Olivia Tang +9

Human in-the-loop quality assurance (QA) is typically performed after medical image segmentation to ensure that the systems are performing as intended, as well as identifying and e…

cs.CV2019

Deep Multi-task Prediction of Lung Cancer and Cancer-free Progression from Censored Heterogenous Clinical Imaging

Riqiang Gao, Lingfeng Li, Yucheng Tang +6

Annual low dose computed tomography (CT) lung screening is currently advised for individuals at high risk of lung cancer (e.g., heavy smokers between 55 and 80 years old). The reco…

eess.IV2019★ 7 cited

Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models for Lung Cancer Detection

Riqiang Gao, Yuankai Huo, Shunxing Bao +9

The field of lung nodule detection and cancer prediction has been rapidly developing with the support of large public data archives. Previous studies have largely focused on cross-…

eess.IV2019

Enabling Multi-Shell b-Value Generalizability of Data-Driven Diffusion Models with Deep SHORE

Vishwesh Nath, Ilwoo Lyu, Kurt G. Schilling +9

Intra-voxel models of the diffusion signal are essential for interpreting organization of the tissue environment at micrometer level with data at millimeter resolution. Recent adva…