Jiancheng Yang

Shanghai, China

Last Updated: 09/26/2026

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Found 15 publications

SimTA++: Simple attention neural network for clinical asynchronous time series.

SimTA++: Simple attention neural network for clinical asynchronous time series.

Journal: Neural networks : the official journal of the International Neural Network Society

Published: June 12, 2024

Two-stage error detection to improve electron microscopy image mosaicking.

Two-stage error detection to improve electron microscopy image mosaicking.

Journal: Computers in biology and medicine

Published: October 09, 2023

Deep learning-based solid component measuring enabled interpretable prediction of tumor invasiveness for lung adenocarcinoma.

Deep learning-based solid component measuring enabled interpretable prediction of tumor invasiveness for lung adenocarcinoma.

Journal: Lung cancer (Amsterdam, Netherlands)

Published: May 18, 2023

Multi-site, Multi-domain Airway Tree Modeling.

Multi-site, Multi-domain Airway Tree Modeling.

Journal: Medical image analysis

Published: March 27, 2023

China lung cancer screening (CLUS) version 2.0 with new techniques implemented: Artificial intelligence, circulating molecular biomarkers and autofluorescence bronchoscopy.

China lung cancer screening (CLUS) version 2.0 with new techniques implemented: Artificial intelligence, circulating molecular biomarkers and autofluorescence bronchoscopy.

Journal: Lung cancer (Amsterdam, Netherlands)

Published: December 14, 2022

GMILT: A Novel Transformer Network That Can Noninvasively Predict EGFR Mutation Status.

GMILT: A Novel Transformer Network That Can Noninvasively Predict EGFR Mutation Status.

Journal: IEEE transactions on neural networks and learning systems

Published: July 21, 2022

ViSTA: A Novel Network Improving Lung Adenocarcinoma Invasiveness Prediction from Follow-Up CT Series.

ViSTA: A Novel Network Improving Lung Adenocarcinoma Invasiveness Prediction from Follow-Up CT Series.

Journal: Cancers

Published: June 07, 2022

Genopathomic profiling identifies signatures for immunotherapy response of lung adenocarcinoma via confounder-aware representation learning.

Genopathomic profiling identifies signatures for immunotherapy response of lung adenocarcinoma via confounder-aware representation learning.

Journal: iScience

Published: January 27, 2022

Prediction of future imagery of lung nodule as growth modeling with follow-up computed tomography scans using deep learning: a retrospective cohort study.

Prediction of future imagery of lung nodule as growth modeling with follow-up computed tomography scans using deep learning: a retrospective cohort study.

Journal: Translational lung cancer research

Published: November 30, 2021

MedMNIST v2 - A large-scale lightweight benchmark for 2D and 3D biomedical image classification.

MedMNIST v2 - A large-scale lightweight benchmark for 2D and 3D biomedical image classification.

Journal: Scientific data

Published: November 29, 2021

A multi-omics-based serial deep learning approach to predict clinical outcomes of single-agent anti-PD-1/PD-L1 immunotherapy in advanced stage non-small-cell lung cancer.

A multi-omics-based serial deep learning approach to predict clinical outcomes of single-agent anti-PD-1/PD-L1 immunotherapy in advanced stage non-small-cell lung cancer.

Journal: American journal of translational research

Published: October 13, 2020

Deep-learning-assisted detection and segmentation of rib fractures from CT scans: Development and validation of FracNet.

Deep-learning-assisted detection and segmentation of rib fractures from CT scans: Development and validation of FracNet.

Journal: EBioMedicine

Published: July 30, 2020

Showing 1-12 of 15

Last Updated: 09/26/2026