Zhe Su

ORCID: 0000-0003-2883-6996
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About
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Research Areas
  • Advanced Memory and Neural Computing
  • Muscle activation and electromyography studies
  • Advanced Sensor and Energy Harvesting Materials
  • Ferroelectric and Negative Capacitance Devices
  • Tactile and Sensory Interactions
  • Low-power high-performance VLSI design
  • Semiconductor Quantum Structures and Devices
  • Photoacoustic and Ultrasonic Imaging
  • Lung Cancer Diagnosis and Treatment
  • Total Knee Arthroplasty Outcomes
  • Robot Manipulation and Learning
  • Ultrasound and Hyperthermia Applications
  • Advanced Radiotherapy Techniques
  • Medical Imaging Techniques and Applications
  • Quantum-Dot Cellular Automata
  • Embedded Systems Design Techniques
  • Radiomics and Machine Learning in Medical Imaging
  • VLSI and Analog Circuit Testing
  • Semiconductor materials and devices
  • Ultrasound Imaging and Elastography
  • Neuroscience and Neural Engineering
  • Acoustic Wave Phenomena Research
  • Multisensory perception and integration
  • Subtitles and Audiovisual Media
  • Advanced Statistical Process Monitoring

Southern Medical University
2023-2025

Liaocheng University
2025

Guangdong Academy of Medical Sciences
2024

Guangdong Provincial People's Hospital
2024

University of Zurich
2022-2023

ETH Zurich
2022-2023

SIB Swiss Institute of Bioinformatics
2022

University of Southern California
2012-2020

Institute of Microelectronics
2020

Tsinghua University
2018-2020

Background: Clinically significant anxiety and depression are common in patients with cancer, associated poor psychiatric medical outcomes. Historical recent research suggests a role for psilocybin to treat cancer-related depression. Methods: In this double-blind, placebo-controlled, crossover trial, 29 were randomly assigned received treatment single-dose (0.3 mg/kg) or niacin, both conjunction psychotherapy. The primary outcomes assessed between groups prior the at 7 weeks. Results: Prior...

10.1177/0269881116675512 article EN cc-by Journal of Psychopharmacology 2016-11-30

We introduce and evaluate contact-based techniques to estimate tactile properties detect manipulation events using a biomimetic sensor. In particular, we finger forces, classify slip events. addition, present grip force controller that uses the estimation results gently pick up objects of various weights texture. The are experimentally evaluated on robotic system consisting Barrett arms hands. Our indicate able accurately forces acting in all directions, incipient slip, with over 80% success rate.

10.1109/humanoids.2015.7363558 article EN 2015-11-01

Humans have been shown to be good at using active touch perceive subtle differences in compliance. They tend use highly stereotypical exploratory strategies, such as applying normal force a surface. We developed similar and perceptual algorithms for mechatronic robotic system (Barrett arm/hand system) equipped with liquid-filled, biomimetic tactile sensors (BioTac(®) from SynTouch LLC). The distribution of on the fingertip was measured by electrical resistance conductive liquid trapped...

10.3389/fnbot.2012.00007 article EN cc-by Frontiers in Neurorobotics 2012-07-26

To achieve a dexterous robotic manipulation, we need to endow our robot with tactile feedback capability, i.e. the ability drive action based on sensing. In this paper, specifically address challenge of servoing, given current sensing and target/goal --memorized from successful task execution in past-- what is that will bring move closer towards target at next time step. We develop data-driven approach acquire dynamics model for servoing by learning demonstration. Moreover, method represents...

10.1109/icra.2019.8793520 article EN 2022 International Conference on Robotics and Automation (ICRA) 2019-05-01

Antidepressant medications are commonly used to treat depression, but only about 30% of patients reach remission with any single first-step antidepressant. If the treatment fails, response and rates at subsequent steps even more limited. The literature on biomarkers for is largely based secondary analyses studies designed answer primary questions efficacy, rather than a planned systematic evaluation decision. lack evidence-based knowledge guide decisions depression has lead recognition that...

10.1016/j.conctc.2017.02.007 article EN cc-by-nc-nd Contemporary Clinical Trials Communications 2017-02-24

The "event-driven" feature of asynchronous circuits enables the to work when and where needed, making it a good alternative design low-power circuits. However, are not widely adopted as consequence lack support by conventional EDA tools. In this article, we propose novel flow implement Click-based bundled-data efficiently down mask layout with To ensure timing correctness, put forward an adaptive delay matching (ADM) method perform accurate static analysis for Compared other toolsets,...

10.1109/tcad.2020.3038337 article EN cc-by IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 2020-11-16

Chest tomosynthesis (CTS) as a newly developed imaging technique can provide pseudo-3D volume anatomical information of the thorax from limited-angle projections. However, one drawback is that acquisition angle for CTS much less than 180°, so reconstructed image may be contaminated by structures behind and in front in-focus plane. To reduce noise, this study, we deep learning-based bone suppression model to remove these occluding bony projections images then using bone-suppressed...

10.1016/j.jrras.2024.100866 article EN cc-by-nc-nd Journal of Radiation Research and Applied Sciences 2024-02-28

Abstract Purpose To develop a deep learning network that treats the three‐dimensional respiratory motion signals as whole and considers inter‐dimensional correlation between of different directions for accurate tumor prediction. Methods We propose framework, named LSTM‐Global Temporal Convolution‐External Attention Network (LGEANet). In LGEANet, we first feed each univariate time series into Long Short‐Term Memory (LSTM) module respectively utilize strength global temporal convolutional...

10.1002/mp.16237 article EN Medical Physics 2023-01-23

Humans are known to be good at manipulating tools. To cope with disturbances and uncertainties from the external environment during such tasks, they must able perceive small changes in orientation or tilt of tool using mechanoreceptors glabrous skin fingertips. We hypothesize that most sensitive part human fingers, a flat surface on distal phalanx (called apical tuft) would preferred for perceiving very fine tilts. In this paper, we used an experimental apparatus quantify discrimination...

10.1109/biorob.2016.7523748 article EN 2016-06-01

The accuracy of multi-parametric perfusion imaging (PPI) based on dynamic contrast-enhanced ultrasound is disturbed by the respiratory motion in some cases, especially during characterizing hemodynamic features abdominal tumor angiogenesis. This study aimed to effectively remove those disturbances PPI and evaluate its accuracy.The motion-compensation (rMoCo) strategy was modified employing non-negative matrix factorization combined with phase-by-phase compensation. According known...

10.1002/mp.12872 article EN Medical Physics 2018-03-25

This study aimed to clarify the influences of composite dynamic contrast-enhanced ultrasound (DCEUS) on multiparametric perfusion imaging (PPI) and develop a novel PPI scheme through pulse-inversion Bubblet decorrelation (PIBD) improve its contrast detailed discriminability.In in vivo experiments rabbit kidneys, pair phase-inverted "Bubblets" was constructed. Phase-inverted raw radiofrequency echoes were reconstructed by using maximum coefficients obtained from analysis summed form DCEUS...

10.1002/mp.12897 article EN Medical Physics 2018-04-03

Asynchronous circuits have the potential advantages in low power consumption, high performance speed and no clock distribution problems. However, it is difficult to design asynchronous because of lack EDA tools. In this paper, we proposed a desynchronization method transform synchronous Click-based using commercial tools, aiming reduce complexity take circuits. According different structures between bundled-data pipeline circuits, Verilog codes into ones which can be synthesized by Synopsys...

10.1109/edssc.2019.8754234 article EN 2019-06-01

The force line trajectory of the distal femoral prosthesis relative to gasket is an important factor in judging appropriate position implants Unicondylar Knee Arthroplasty (UKA) surgery, which critical success UKA surgery. In this paper, we propose measurement system, includes pressure sensors array, controlling circuits, transceivers, and receiving recorder. Data from twenty are obtained by a multi-channel analog switch. data transmitted wirelessly calculated displayed on screen real-time....

10.1109/embc.2019.8857007 article EN 2019-07-01

Brain-inspired event-based neuromorphic processing systems have been emerging as a promising technology in particular for bio-medical circuits and systems. However, both biological implementations of neural networks critical energy memory constraints. To minimize the use resources multi-core processors, we propose network design approach that takes inspiration from networks. We this to new routing scheme optimized small-world and, at same time, present hardware-aware placement algorithm...

10.1109/biocas54905.2022.9948653 article EN 2022 IEEE Biomedical Circuits and Systems Conference (BioCAS) 2022-10-13

Sepsis-associated encephalopathy (SAE) is a severe complication of sepsis, however, its exact mechanism remains unknown. This study aimed to evaluate whether clusterin essential the development SAE during aging process astrocytes. In study, septic mice were established with cecal ligation and puncture (CLP) lipopolysaccharides applied astrocytes in vitro. Evan’s blue dye was used vivo show blood–brain barrier (BBB) permeability. A morris water maze test conducted assess cognitive functions...

10.1097/wnr.0000000000002075 article EN Neuroreport 2024-07-05

Multi-core neuromorphic processors are becoming increasingly significant due to their energy-efficient local computing and scalable modular architecture, particularly for event-based processing applications. However, minimizing the cost of inter-core communication, which accounts majority energy usage, remains a challenging issue. Beyond optimizing circuit design at lower abstraction levels, an efficient multicast addressing scheme is crucial. We propose hierarchical bit string encoding that...

10.48550/arxiv.2411.11545 preprint EN arXiv (Cornell University) 2024-11-18
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