User profiles for Jie Ma

Jie Ma (马杰)

- Verified email at tongji.edu.cn - Cited by 13987

Jie Ma

- Verified email at sjtu.edu.cn - Cited by 7337

Jie Ma

- Verified email at csm.ox.ac.uk - Cited by 5215

Discovery of a Weyl fermion semimetal and topological Fermi arcs

…, G Chang, Z Yuan, CC Lee, SM Huang, H Zheng, J Ma… - Science, 2015 - science.org
A Weyl semimetal is a new state of matter that hosts Weyl fermions as emergent quasiparticles
and admits a topological classification that protects Fermi arc surface states on the …

[HTML][HTML] Coagulopathy and antiphospholipid antibodies in patients with Covid-19

…, X Sun, R Tian, W Wu, D Wu, J Ma… - … England Journal of …, 2020 - Mass Medical Soc
Coagulopathy in Critical Illness with Covid-19 The authors describe a 69-year-old man with
Covid-19 diagnosed in January 2020 in Wuhan, China, along with two other critically ill …

Msr-net: Low-light image enhancement using deep convolutional network

L Shen, Z Yue, F Feng, Q Chen, S Liu, J Ma - arXiv preprint arXiv …, 2017 - arxiv.org
Images captured in low-light conditions usually suffer from very low contrast, which increases
the difficulty of subsequent computer vision tasks in a great extent. In this paper, a low-light …

Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal

…, N Kreuzberger, A Lohmann, B Levis, K Luijken, J Ma… - bmj, 2020 - bmj.com
Objective To review and appraise the validity and usefulness of published and preprint reports
of prediction models for prognosis of patients with covid-19, and for detecting people in …

Atomically thin two-dimensional organic-inorganic hybrid perovskites

…, N Kornienko, SW Eaton, A Fu, CG Bischak, J Ma… - Science, 2015 - science.org
Organic-inorganic hybrid perovskites, which have proved to be promising semiconductor
materials for photovoltaic applications, have been made into atomically thin two-dimensional (…

A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models

E Christodoulou, J Ma, GS Collins… - Journal of clinical …, 2019 - Elsevier
Objectives The objective of this study was to compare performance of logistic regression (LR)
with machine learning (ML) for clinical prediction modeling in the literature. Study Design …

iProX: an integrated proteome resource

J Ma, T Chen, S Wu, C Yang, M Bai, K Shu… - Nucleic acids …, 2019 - academic.oup.com
Sharing of research data in public repositories has become best practice in academia. With
the accumulation of massive data, network bandwidth and storage requirements are rapidly …

Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on …

GS Collins, P Dhiman, CLA Navarro, J Ma, L Hooft… - BMJ open, 2021 - bmjopen.bmj.com
Introduction The Transparent Reporting of a multivariable prediction model of Individual
Prognosis Or Diagnosis (TRIPOD) statement and the Prediction model Risk Of Bias ASsessment …

[PDF][PDF] Toripalimab plus chemotherapy in treatment-naïve, advanced esophageal squamous cell carcinoma (JUPITER-06): A multi-center phase 3 trial

…, R Chen, L Jia, W Li, W Liao, HX Liu, D Ma, J Ma… - Cancer cell, 2022 - cell.com
Platinum-based chemotherapy is the standard first-line treatment for advanced esophageal
squamous cell carcinoma (ESCC). In this phase 3 study (ClinicalTrial.gov: NCT03829969), …

Lasing in robust cesium lead halide perovskite nanowires

…, NA Gibson, AB Wong, L Dou, J Ma… - Proceedings of the …, 2016 - National Acad Sciences
The rapidly growing field of nanoscale lasers can be advanced through the discovery of new,
tunable light sources. The emission wavelength tunability demonstrated in perovskite …