LI LIANGZHI 李良知

Researcher Number	10875545
Other IDs
Affiliation (based on the past Project Information) *help	2021 – 2022: 大阪大学, データビリティフロンティア機構, 特任助教(常勤) 2020: 大阪大学, データビリティフロンティア機構, 特任研究員(常勤)
Review Section/Research Field	Principal Investigator Basic Section 61010:Perceptual information processing-related / 1002:Human informatics, applied informatics and related fields Except Principal Investigator Basic Section 58030:Hygiene and public health-related: excluding laboratory approach
Keywords	Principal Investigator Deep Learning / Computer Vision / Medical Images / Medical Image / Trustable AI / Computer-aided Diagnosis / Visual Explanation / Image Classification / Explainable AI / Unsupervised Learning … More / Surgical Videos / Surgical Analysis / Video Understanding / Semantic Segmentation / Few-shot Learning … More Except Principal Investigator 深層学習 / 健康診断 / 循環器検診 / 人工知能 / スクリーニング / 網膜血管 / 眼底写真 / 高血圧 Less

Risk profiling for cardiovascular diseases using the retinal images
- Principal Investigator
  
  川崎良
- Project Period (FY)
  2022 – 2025
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 58030:Hygiene and public health-related: excluding laboratory approach
- Research Institution
  Osaka University
Explainable Artificial Intelligence for Medical ApplicationsPrincipal Investigator
- Principal Investigator
  
  LI LIANGZHI
- Project Period (FY)
  2021 – 2022
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 61010:Perceptual information processing-related
- Research Institution
  Osaka University
Removing the Burden of Data Labeling: Automatic Surgical Video Understanding with Unsupervised LearningPrincipal Investigator
- Principal Investigator
  
  LI LIANGZHI
- Project Period (FY)
  2020 – 2021
- Research Category
  
  Grant-in-Aid for Research Activity Start-up
- Review Section
  
  1002:Human informatics, applied informatics and related fields
- Research Institution
  Osaka University

All 2023 2022 2021

All Journal Article Presentation

[Journal Article] Automated grading system of retinal arterio-venous crossing patterns: A deep learning approach replicating ophthalmologist’s diagnostic process of arteriolosclerosis2023
- Author(s)
  Li Liangzhi、Verma Manisha、Wang Bowen、Nakashima Yuta、Nagahara Hajime、Kawasaki Ryo
- Journal Title
  
  PLOS Digital Health
  
  Volume: 2 Issue: 1 Pages: 174-174
- DOI
  10.1371/journal.pdig.0000174
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-21K17764, KAKENHI-PROJECT-23K24611, KAKENHI-PROJECT-22K19671
[Journal Article] Structure-Oriented Transformer for retinal diseases grading from OCT images2023
- Author(s)
  Shen Junyong、Hu Yan、Zhang Xiaoqing、Gong Yan、Kawasaki Ryo、Liu Jiang
- Journal Title
  
  Computers in Biology and Medicine
  
  Volume: 152 Pages: 106445-106445
- DOI
  10.1016/j.compbiomed.2022.106445
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K24611
[Journal Article] Match them up: visually explainable few-shot image classification2022
- Author(s)
  Wang Bowen、Li Liangzhi、Verma Manisha、Nakashima Yuta、Kawasaki Ryo、Nagahara Hajime
- Journal Title
  
  Applied Intelligence
  
  Volume: - Issue: 9 Pages: 1-22
- DOI
  10.1007/s10489-022-04072-4
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21K17764, KAKENHI-PROJECT-23K24611
[Journal Article] Noisy-LSTM: Improving Temporal Awareness for Video Semantic Segmentation2021
- Author(s)
  Wang Bowen、Li Liangzhi、Nakashima Yuta、Kawasaki Ryo、Nagahara Hajime、Yagi Yasushi
- Journal Title
  
  IEEE Access
  
  Volume: 9 Pages: 46810-46820
- DOI
  10.1109/access.2021.3067928
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K10662, KAKENHI-PROJECT-20K23343
[Presentation] Learning Bottleneck Concepts in Image Classification2023
- Author(s)
  Bowen Wang, Liangzhi Li, Yuta Nakashima, Hajime Nagahara
- Organizer
  IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) 2023
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K17764
[Presentation] Cardiovascular Disease Risk Prediction using Retinal Images via Explainable-AI based models with Traditional CVD risk factor estimation2022
- Author(s)
  Ryo Kawasaki, Yiming Qian, Liangzhi Li, Kohji Nishida, Yuta Nakashima, Hajime Nagahara
- Organizer
  The Association for Research in Vision and Ophthalmology
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K24611
[Presentation] SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition2021
- Author(s)
  Liangzhi Li, Bowen Wang, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara
- Organizer
  IEEE/CVF International Conference on Computer Vision (ICCV)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K17764
[Presentation] MTUNet: Few-shot Image Classification with Visual Explanations2021
- Author(s)
  Wang Bowen、Li Liangzhi、Manisha Verma、Nakashima Yuta、Kawasaki Ryo、Nagahara Hajime
- Organizer
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Responsible Computer Vision Workshop
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K23343
[Presentation] SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition2021
- Author(s)
  Liangzhi Li, Bowen Wang, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara
- Organizer
  IEEE/CVF International Conference on Computer Vision (ICCV)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K23343

1. 川崎良 (70301067)

# of Collaborated Projects: 1 results

# of Collaborated Products: 3 results
2. 布施昇男 (10302134)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
3. 原田成 (10738090)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
4. 佐々木真理子 (60276342)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
5. 大久保孝義 (60344652)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
6. 平良摩紀子 (60792140)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
7. 中島悠太 (70633551)

# of Collaborated Projects: 1 results

# of Collaborated Products: 2 results

LI LIANGZHI 李 良知

Research Projects

Research Products

Co-Researchers

Risk profiling for cardiovascular diseases using the retinal images

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Explainable Artificial Intelligence for Medical ApplicationsPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Removing the Burden of Data Labeling: Automatic Surgical Video Understanding with Unsupervised LearningPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Automated grading system of retinal arterio-venous crossing patterns: A deep learning approach replicating ophthalmologist’s diagnostic process of arteriolosclerosis2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Structure-Oriented Transformer for retinal diseases grading from OCT images2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Match them up: visually explainable few-shot image classification2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Noisy-LSTM: Improving Temporal Awareness for Video Semantic Segmentation2021

Author(s)

Journal Title

DOI

Data Source

[Presentation] Learning Bottleneck Concepts in Image Classification2023

Author(s)

Organizer

Data Source

[Presentation] Cardiovascular Disease Risk Prediction using Retinal Images via Explainable-AI based models with Traditional CVD risk factor estimation2022

Author(s)

Organizer

Data Source

[Presentation] SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition2021

Author(s)

Organizer

Data Source

[Presentation] MTUNet: Few-shot Image Classification with Visual Explanations2021

Author(s)

Organizer

Data Source

[Presentation] SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition2021

Author(s)

Organizer

Data Source

LI LIANGZHI 李良知