Peiwu Qin

Orcid: 0000-0002-7829-8973

According to our database1, Peiwu Qin authored at least 29 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Unfolding Explainable AI for Brain Tumor Segmentation.
Neurocomputing, 2024

Deep learning model for human-intuitive shoeprint reconstruction.
Expert Syst. Appl., 2024

pLDDT-Predictor: High-speed Protein Screening Using Transformer and ESM2.
CoRR, 2024

COVID-19: post infection implications in different age groups, mechanism, diagnosis, effective prevention, treatment, and recommendations.
CoRR, 2024

Benchmarking the Cell Image Segmentation Models Robustness under the Microscope Optical Aberrations.
CoRR, 2024

Pneumonia App: a mobile application for efficient pediatric pneumonia diagnosis using explainable convolutional neural networks (CNN).
CoRR, 2024

Harnessing Intra-group Variations Via a Population-Level Context for Pathology Detection.
CoRR, 2024

IRFundusSet: An Integrated Retinal Fundus Dataset with a Harmonized Healthy Label.
CoRR, 2024

External Prompt Features Enhanced Parameter-Efficient Fine-Tuning for Salient Object Detection.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

Cognitive resilience: Unraveling the proficiency of image-captioning models to interpret masked visual content.
Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

LAMPER: LanguAge Model and Prompt EngineeRing for zero-shot time series classification.
Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

2023
Prompt-enhanced hierarchical transformer elevating cardiopulmonary resuscitation instruction via temporal action segmentation.
Comput. Biol. Medicine, December, 2023

GAME: Generalized deep learning model towards multimodal data integration for early screening of adolescent mental disorders.
CoRR, 2023

Prompt-enhanced Hierarchical Transformer Elevating Cardiopulmonary Resuscitation Instruction via Temporal Action Segmentation.
CoRR, 2023

Object Detection for Caries or Pit and Fissure Sealing Requirement in Children's First Permanent Molars.
CoRR, 2023

Futuristic Variations and Analysis in Fundus Images Corresponding to Biological Traits.
CoRR, 2023

A Novel Classification of Macular Split based on Multi-modal Fusion of SLO and OCT.
Proceedings of the 16th International Congress on Image and Signal Processing, 2023

2022
Mixed-UNet: Refined class activation mapping for weakly-supervised semantic segmentation with multi-scale inference.
Frontiers Comput. Sci., 2022

Neuro-Symbolic Learning: Principles and Applications in Ophthalmology.
CoRR, 2022

RCMNet: A deep learning model assists CAR-T therapy for leukemia.
CoRR, 2022

RCMNet: A deep learning model assists CAR-T therapy for leukemia.
Comput. Biol. Medicine, 2022

Multidimensional Hypergraph on Delineated Retinal Features for Pathological Myopia Task.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
Accelerated Phase Shifting for Structured Illumination Microscopy Based on Deep Learning.
IEEE Trans. Computational Imaging, 2021

Stroke prediction from electrocardiograms by deep neural network.
Multim. Tools Appl., 2021

VRBT: A Non-pharmacological VR approach towards hypertension.
Proceedings of the VRST '21: 27th ACM Symposium on Virtual Reality Software and Technology, Virtual Event / Osaka, Japan, December 8, 2021

A Joint SSA and CNN Algorithm to Remove EMG Artifacts from Single Channel EEG.
Proceedings of the 14th International Congress on Image and Signal Processing, 2021

AML-Net: A Preliminary Screening Model for Mild Hypertension.
Proceedings of the 14th International Congress on Image and Signal Processing, 2021

Retinal OCT Image Classification Based on Domain Adaptation Convolutional Neural Networks.
Proceedings of the 14th International Congress on Image and Signal Processing, 2021

2020
Weighted Convolutional Motion-Compensated Frame Rate Up-Conversion Using Deep Residual Network.
IEEE Trans. Circuits Syst. Video Technol., 2020


  Loading...