User profiles for "author:Jie Tian"
 | Jie TianVerified email at ieee.org Cited by 61213 |
Recent Advances in Alkenyl sp2 C–H and C–F Bond Functionalizations: Scope, Mechanism, and Applications
MZ Lu, J Goh, M Maraswami, Z Jia, JS Tian… - Chemical …, 2022 - ACS Publications
Alkenes and their derivatives are featured widely in a variety of natural products,
pharmaceuticals, and advanced materials. Significant efforts have been made toward the …
pharmaceuticals, and advanced materials. Significant efforts have been made toward the …
[HTML][HTML] The applications of radiomics in precision diagnosis and treatment of oncology: opportunities and challenges
Medical imaging can assess the tumor and its environment in their entirety, which makes it
suitable for monitoring the temporal and spatial characteristics of the tumor. Progress in …
suitable for monitoring the temporal and spatial characteristics of the tumor. Progress in …
The role of imaging in the detection and management of COVID-19: a review
Coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome
coronavirus 2 (SARS-CoV-2) is spreading rapidly around the world, resulting in a massive …
coronavirus 2 (SARS-CoV-2) is spreading rapidly around the world, resulting in a massive …
Development and validation of a radiomics nomogram for preoperative prediction of lymph node metastasis in colorectal cancer
Purpose To develop and validate a radiomics nomogram for preoperative prediction of
lymph node (LN) metastasis in patients with colorectal cancer (CRC). Patients and Methods …
lymph node (LN) metastasis in patients with colorectal cancer (CRC). Patients and Methods …
A fully automatic deep learning system for COVID-19 diagnostic and prognostic analysis
Coronavirus disease 2019 (COVID-19) has spread globally, and medical resources become
insufficient in many regions. Fast diagnosis of COVID-19 and finding high-risk patients with …
insufficient in many regions. Fast diagnosis of COVID-19 and finding high-risk patients with …
Multi-scale convolutional neural networks for lung nodule classification
We investigate the problem of diagnostic lung nodule classification using thoracic Computed
Tomography (CT) screening. Unlike traditional studies primarily relying on nodule …
Tomography (CT) screening. Unlike traditional studies primarily relying on nodule …
First-in-human liver-tumour surgery guided by multispectral fluorescence imaging in the visible and near-infrared-I/II windows
The second near-infrared wavelength window (NIR-II, 1,000–1,700 nm) enables
fluorescence imaging of tissue with enhanced contrast at depths of millimetres and at …
fluorescence imaging of tissue with enhanced contrast at depths of millimetres and at …
Radiomics signature: a potential biomarker for the prediction of disease-free survival in early-stage (I or II) non—small cell lung cancer
Purpose To develop a radiomics signature to estimate disease-free survival (DFS) in
patients with early-stage (stage I–II) non–small cell lung cancer (NSCLC) and assess its …
patients with early-stage (stage I–II) non–small cell lung cancer (NSCLC) and assess its …
DNA Origami as an In Vivo Drug Delivery Vehicle for Cancer Therapy
Many chemotherapeutics used for cancer treatments encounter issues during delivery to
tumors in vivo and may have high levels of systemic toxicity due to their nonspecific …
tumors in vivo and may have high levels of systemic toxicity due to their nonspecific …
Multi-crop convolutional neural networks for lung nodule malignancy suspiciousness classification
We investigate the problem of lung nodule malignancy suspiciousness (the likelihood of
nodule malignancy) classification using thoracic Computed Tomography (CT) images …
nodule malignancy) classification using thoracic Computed Tomography (CT) images …