Hantao Zhang

ORCID: 0000-0002-5342-7951
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About
Contact & Profiles
Research Areas
  • Virtual Reality Applications and Impacts
  • Visual perception and processing mechanisms
  • Advanced Optical Imaging Technologies
  • Radiomics and Machine Learning in Medical Imaging
  • Ophthalmology and Visual Impairment Studies
  • Stroke Rehabilitation and Recovery
  • Retinal Imaging and Analysis
  • AI in cancer detection
  • Medical Imaging and Analysis
  • Blood Pressure and Hypertension Studies
  • SARS-CoV-2 detection and testing
  • Advanced Bandit Algorithms Research
  • Tunneling and Rock Mechanics
  • Advanced Image Fusion Techniques
  • Rock Mechanics and Modeling
  • COVID-19 epidemiological studies
  • Colorectal and Anal Carcinomas
  • Pharmaceutical studies and practices
  • Interactive and Immersive Displays
  • Domain Adaptation and Few-Shot Learning
  • Random lasers and scattering media
  • Reinforcement Learning in Robotics
  • Attention Deficit Hyperactivity Disorder
  • Underwater Acoustics Research
  • Advanced Neural Network Applications

University of Science and Technology of China
2018-2024

Chinese Academy of Sciences
2024

University of Illinois Urbana-Champaign
2021

Sun Yat-sen University
2018-2021

3M (United States)
2021

University of Toronto
2021

Purdue Pharma (Canada)
2021

State Key Laboratory of Optoelectronic Materials and Technology
2019

Huazhong University of Science and Technology
2019

Center of Hubei Cooperative Innovation for Emissions Trading System
2019

It is highly challenging for the available glasses-free 3D display to simultaneously possess advantages of viewing freedom, homogeneous illuminance, high resolution and low crosstalk. This work proposes demonstrates a directional backlight autostereoscopic having these with substantially extended volume densely packed viewpoints. Low crosstalk illuminance are obtained using dynamically configured backlight, realized by novel system design, in conjunction viewer’s eye tracking subsequent...

10.1364/osac.394249 article EN cc-by OSA Continuum 2020-05-18

Data generated in clinical practice often exhibits biases, such as long-tail imbalance and algorithmic unfairness. This study aims to mitigate these challenges through data synthesis. Previous efforts medical imaging synthesis have struggled with separating lesion information from background context, leading difficulties generating high-quality backgrounds limited control over the synthetic output. Inspired by diffusion-based image inpainting, we propose LeFusion, lesion-focused diffusion...

10.48550/arxiv.2403.14066 preprint EN arXiv (Cornell University) 2024-03-20

Virtual reality (VR) technology is increasingly used in stroke rehabilitation. This study aimed to investigate the effectiveness of using glasses-free VR training improve motor function upper limb patients with stroke. Twelve were recruited participate intervention 3 weeks. At baseline and post intervention, two times evaluation including Fugl-Meyer upper-extremity scale (FMS-UE), transcranial magnetic stimulation (TMS) measurement motion performed. No significant difference was observed...

10.1016/j.medntd.2021.100069 article EN cc-by-nc-nd Medicine in Novel Technology and Devices 2021-03-21
Diana Rose E. Rañoa Robin L. Holland Fadi G. Alnaji Kelsie J. Green Leyi Wang and 95 more Richard Fredrickson Tong Wang George N. Wong Johnny A. Uelmen Sergei Maslov Ahmed Elbanna Zachary J. Weiner Alexei V. Tkachenko Hantao Zhang Zhiru Liu Sanjay J. Patel John M. Paul Nickolas P. Vance Joseph G. Gulick Sandeep Puthanveetil Satheesan Isaac J. Galvan Andrew Miller Joseph Grohens Todd J. Nelson Mary P. Stevens Patricia Hennessy Robert Parker Edward Santos Charles Brackett Julie D. Steinman Melvin R. Fenner Kirstin Dohrer Kraig Wagenecht M.A. DeLorenzo Laura Wilhelm-Barr Brian R. Brauer Catherine Best‐Popescu Gary Durack Nathan Wetter David M. Kranz Jessica Breitbarth Charlie Simpson Julie A. Pryde Robin N. Kaler Chris Harris Allison C. Vance Jodi L. Silotto Mark Johnson Enrique Valera Patricia K. Anton Lowa Mwilambwe Stephen P. Bryan Deborah S. Stone Danita B. Young Wanda E. Ward John Lantz John A. Vozenilek Rashid Bashir Jeffrey S. Moore Mayank Garg Julian C. Cooper Gillian Snyder Michelle Halla Lore Dustin L. Yocum Neal J. Cohen Jan Novakofski Melanie J. Loots Randy L. Ballard Mark Band Kayla M. Banks Joseph D. Barnes Iuliana Bentea Jessica Donze Black Jeremy Busch Hannah Christensen Abigail Conte Madison Conte Michael Curry Jennifer Eardley April Edwards Therese E. Eggett Judes Fleurimont Delaney Foster Bruce W. Fouke Nicholas Gallagher Nicole Gastala Scott A. Genung Declan Glueck Brittani Gray Andrew Greta Robert M. Healy Ashley Hetrick Arianna A. Holterman Nahed Ismail Ian Jasenof Patrick Kelly Aaron Kielbasa Teresa Kiesel Lorenzo M. Kindle Rhonda L. Lipking

In the Fall of 2020, many universities saw extensive transmission SARS-CoV-2 among their populations, threatening health students, faculty and staff, viability in-person instruction, surrounding communities. 1, 2 Here we report that a multimodal “SHIELD: Target, Test, Tell” program mitigated spread at large public university, prevented community transmission, allowed continuation classes amidst pandemic. The combines epidemiological modelling surveillance (Target); fast frequent testing...

10.1101/2021.08.03.21261548 preprint EN cc-by-nd medRxiv (Cold Spring Harbor Laboratory) 2021-08-05

Abstract Imaging delivering to correct retina assisted with tracking technique is a common practice for autostereoscopic displays stereo two‐view data format. Due various latencies produced in camera buffering, computer processing, transmission, and illumination refreshing, delayed image delivery will give rise substantial degradation of the 3D display experience. This particularly obvious directional backlight where significant flickering resulted as result inherent latency. work...

10.1002/jsid.848 article EN Journal of the Society for Information Display 2019-10-31

Rectal cancer segmentation of CT image plays a crucial role in timely clinical diagnosis, radiotherapy treatment, and follow-up. Although current methods have shown promise delineating cancerous tissues, they still encounter challenges achieving high precision. These obstacles arise from the intricate anatomical structures rectum difficulties performing differential diagnosis rectal cancer. Additionally, major obstacle is lack large-scale, finely annotated dataset for segmentation. To...

10.48550/arxiv.2308.08283 preprint EN other-oa arXiv (Cornell University) 2023-01-01

Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental that begins in childhood and often persists into adulthood. ADHD increases the risk of various negative impacts, pharmacists are well positioned to address these issues community.This survey study aims first identify pharmacists' knowledge gaps experience with management second assess their preferences for continuing education sleep-related ADHD.A was sent Part A Ontario active licenses who opted receive research-related...

10.1177/1715163520981397 article EN Canadian Pharmacists Journal / Revue des Pharmaciens du Canada 2021-01-19

Accurate segmentation of metastatic lymph nodes in rectal cancer is crucial for the staging and treatment cancer. However, existing approaches face challenges due to absence pixel-level annotated datasets tailored around rectum. Additionally, are characterized by their relatively small size, irregular shapes, lower contrast compared background, further complicating task. To address these challenges, we present first large-scale perirectal node CT image dataset called Meply, which encompasses...

10.48550/arxiv.2404.08916 preprint EN arXiv (Cornell University) 2024-04-13

Background: Rectal cancer segmentation in CT is crucial for timely diagnosis. Despite promising methods, challenges remain due to the rectum's complex anatomy and lack of a comprehensive annotated dataset.Methods: A total 33,024 slice pairs from 398 rectal patients new source single center were enrolled into our dataset, named CARE Dataset, with pixel-level annotations both normal cancerous rectum tissue. We split it 317 cases training 81 testing. Additionally, we introduce novel model,...

10.2139/ssrn.4838978 preprint EN 2024-01-01

This study aimed to develop an interactive vision screening tool based on desktop autostereoscopy and evaluate its feasibility for testing visual acuity, colour vision, stereo binocular balance clinically.An test was developed making it remarkably convenient individuals undergo multiple function assessments in a single test. With this rapid process, individual's can be assessed within several minutes. A total of 155 healthy subjects were enrolled compare the clinical repeatability, accuracy,...

10.21037/atm-20-3555 article EN Annals of Translational Medicine 2021-01-01

We study the problem of best arm identification in multi-armed bandits, where underlying setting can be either stochastic or adversarial and is not revealed to forecaster a priori. propose an algorithm, called S3-BA, whose key idea simultaneously explore arms learn model, switch when declared. analyze performance proposed algorithm for both bandits. For bandits we prove upper bound on error rate S3-BA that same order as UCB-E SH. show guaranteed long budget above threshold. More importantly,...

10.1109/itw.2018.8613513 article EN 2022 IEEE Information Theory Workshop (ITW) 2018-11-01

Different from conventional head‐mounted virtual reality, we achieve a high quality glasses‐free reality (VR) platform by combining full HD directional backlight 3D display with gesture controller. The VR enables resolution, low crosstalk and wide viewing angle, which is able to provide precise depth information. Attributed the excellent effect without any assisting goggles, our can be used for rehabilitation of stroke patients. Compared traditional 2D training, it offers third dimension...

10.1002/sdtp.12638 article EN SID Symposium Digest of Technical Papers 2018-04-01

with the development of virtual reality technology, a new system related to vision would have been proposed, which not only enable myope people screen their independently but also makes it possible improve people's vision. In addition, will reduce labor and medical consumables in visual acuity screening.

10.1002/sdtp.13071 article EN SID Symposium Digest of Technical Papers 2019-05-29

Flicker is one of the most prominent issues in directional backlight autostereoscopic displays. This work studies flicker characterization over entire screen with a high‐speed camera. The method shows that it works well to adapt practical visual experience and gives global quantitative description flicker. An artificial intelligent scheme motion prediction established reduce flicker, which proved be effective.

10.1002/sdtp.13370 article EN SID Symposium Digest of Technical Papers 2019-09-01

with the development of virtual reality technology, a new system related to vision would have been proposed, which not only enable myope people screen their independently but also makes it possible improve people’s vision. In addition, will reduce labor and medical consumables in visual acuity screening.

10.1002/sdtp.13417 article EN SID Symposium Digest of Technical Papers 2019-09-01
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