Quan Zhou

Dr. Quan Zhou

Stanford University, Stanford, California, USA
orcid

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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21 July 2017 in Science
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QHQing Lin He
Qing Lin He
LPLei Pan
Lei Pan
ASAlexander L. Stern
Alexander L. Stern
EBEdward C. Burks
Edward C. Burks
XCXiaoyu Che
Xiaoyu Che
KWKang Wang
Kang Wang
A propagating Majorana mode: Although Majorana fermions remain elusive as elementary particles, their solid-state analogs have been observed in hybrid semiconductor-superconductor nanowires. In a nanowire setting, the Majorana states are localized at the ends of the wire. He et al. built a two-dimensional heterostructure in which a one-dimensional Majorana mode is predicted to run along the sample edge (see the Perspective by Pribiag). The heterostructure consisted of a quantum anomalous Hall insulator (QAHI) bar contacted by a superconductor. The authors used an external magnetic field as a “knob” to tune into a regime where a Majorana mode was propagating along the edge of the QAHI bar covered by the superconductor. A signature of this propagation—half-quantized conductance—was then observed in transport experiments. Science , this issue p. 294 ; see also p. 252

8 August 2016 in Nature Physics
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Journal Article
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PTPeizhe Tang
Peizhe Tang
Quan ZhouQuan Zhou
Quan Zhou
GXGang Xu
Gang Xu
SZShou-Cheng Zhang
Shou-Cheng Zhang

7 February 2019 in Journal of Nuclear Medicine
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SKStan van Keulen
Stan van Keulen
NNNaoki Nishio
Naoki Nishio
SFShayan Fakurnejad
Shayan Fakurnejad
ABAndrew Birkeland
Andrew Birkeland
BMBrock A. Martin
Brock A. Martin
EREben L. Rosenthal
Eben L. Rosenthal
Although surgical resection has been the primary treatment modality of solid tumors for decades, surgeons still rely on visual cues and palpation to delineate healthy from cancerous tissue. This may contribute to the high rate (up to 30%) of positive margins in head and neck cancer resections. Margin status in these patients is the most important prognostic factor for overall survival. In addition, second primary lesions may be present at the time of surgery. Although often unnoticed by the medical team, these lesions can have significant survival ramifications. We hypothesize that real-time fluorescence imaging can enhance intraoperative decision making by aiding the surgeon in detecting close or positive margins and visualizing unanticipated regions of primary disease. The purpose of this study was to assess the clinical utility of real-time fluorescence imaging for intraoperative decision making. Methods: Head and neck cancer patients (n = 14) scheduled for curative resection were enrolled in a clinical trial evaluating panitumumab-IRDye800CW for surgical guidance (NCT02415881). Open-field fluorescence imaging was performed throughout the surgical procedure. The fluorescence signal was quantified as signal-to-background ratios to characterize the fluorescence contrast of regions of interest relative to background. Results: Fluorescence imaging was able to improve surgical decision making in 3 cases (21.4%): identification of a close margin (n = 1) and unanticipated regions of primary disease (n = 2). Conclusion: This study demonstrates the clinical applications of fluorescence imaging on intraoperative decision making. This information is required for designing phase III clinical trials using this technique. Furthermore, this study is the first to demonstrate this application for intraoperative decision making during resection of primary tumors.

14 May 2020 in The Lancet Gastroenterology & Hepatology
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GLGuolan Lu
Guolan Lu
NBNynke S van Den Berg
Nynke S van Den Berg
BMBrock A Martin
Brock A Martin
NNNaoki Nishio
Naoki Nishio
ZHZachary P Hart
Zachary P Hart
GPGeorge Poultsides
George Poultsides

1 January 2019 in Oral Oncology
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SKStan van Keulen
Stan van Keulen
NBNynke S. van Den Berg
Nynke S. van Den Berg
NNNaoki Nishio
Naoki Nishio
ABAndrew Birkeland
Andrew Birkeland
Quan ZhouQuan Zhou
Quan Zhou
EREben L. Rosenthal
Eben L. Rosenthal

1 August 2022 in Radiology
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Journal Article
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MZMichael Zhang
Michael Zhang
SWSamuel W. Wong
Samuel W. Wong
JWJason N. Wright
Jason N. Wright
MWMatthias W Wagner
Matthias W Wagner
STSebastian Toescu
Sebastian Toescu
KYKristen W. Yeom
Kristen W. Yeom
MRI-based machine learning designed with sequential decision steps reliably differentiated four unique medulloblastoma molecular subgroups. Background Radiogenomics of pediatric medulloblastoma (MB) offers an opportunity for MB risk stratification, which may aid therapeutic decision making, family counseling, and selection of patient g...