Tatsuya Harada
Tatsuya Harada (Ph.D.)
Title
Team Leader

Members

  • Team leader
    Tatsuya Harada
  • Research scientist
    Lin Gu
  • Special postdoctoral researcher
    Zhongyi Zhou
  • Postdoctoral researcher
    Kenichiro Ando
  • Visiting scientist
    Yasushi Koyama
  • Visiting scientist
    Yusuke Kurose
  • Visiting scientist
    Yusuke Mukuta
  • Visiting scientist
    Masatoshi Hidaka
  • Visiting scientist
    Kohei Uehara
  • Intern
    Gexin Huang
  • Part-time worker I
    Yizhe Ruan
  • Part-time worker I
    Ryosuke Sasaki

Introduction

Laboratory's photo

Our goal is to invent intelligent systems assisting medical diagnosis and treatment by extracting useful features from medical information, and combining them with powerful computational resources and vast amount of data in the cyber space. To tackle this challenging problem, we utilize all resources in the area of computer science including mathematical basis and robotics.

Main Research Field
Computer Science
Research Field
Engineering
Research Subjects
Visual Recognition
Machine Learning
Intelligent Robot
RIKEN Website URL
http://www.riken.jp/en/research/labs/aip/goalorient_tech/machine_intell_med_eng/

Introduction Video

Machine Intelligence for Medical Engineering Team (PI: Tatsuya Harada) thumbnails
Show details
Poster(s)

Related posts

posted on November 15, 2024 13:06Information
Trilateral AI Conference 2024"Generative AI: Pathways to Democratization, Transparency and Sustainability"(Tokyo, November 12, 2024)
posted on October 2, 2024 17:33Information
41 papers were accepted at NeurIPS 2024
posted on September 17, 2024 12:19Information
[Research Report] Empowering Medical Large Language Models (LLM): The World’s Largest Visual Question Answering Benchmark for Chest X-ray Images (Machine Intelligence for Medical Engineering Team, September 17, 2024)
posted on August 19, 2024 16:39Information
[Research Report] AI CAN INDEPENDENTLY EVOLVE COLOUR NAMING RECOGNITION AS HUMAN (Machine Intelligence for Medical Engineering Team, August 15, 2024)
posted on July 26, 2024 09:54InterviewInformation
【In the media】Autonomous Driving 2.0: Japan's Counterattack (NIKKEI Mobility, July 26, 2024)
posted on June 24, 2024 14:54Information
【Event Report】The 6th Annual Meeting of Japanese Associatin for Medical Artificial Intelligence (JMAI) (June 21-22, 2024, Nagoya)
posted on June 4, 2024 21:41Seminar
Annotation-efficient Deep Learning for Computed Tomography Image S
posted on June 4, 2024 22:35Seminar
Interpretable multimodal deep learning with application to brain imaging and genomics data fusion
posted on May 9, 2024 22:55Information
37 papers have been accepted at ICML 2024
posted on April 16, 2024 15:26Seminar
Talk by Ming-Hsuan Yang (UC Merced and Google)
posted on April 5, 2024 16:08Information
【CVPR2024:Highlight 】Two paper was selected (June, 2024, Seattle)
posted on March 6, 2024 14:08Information
Seven papers were accepted at CVPR 2024.
posted on January 23, 2024 17:40Information
19 papers have been accepted at ICLR 2024
posted on January 10, 2024 13:39Seminar
Talk by Prof. Aaron Young (Associate Professor, Georgia Tech): AI for Unified Control of Wearable Robotics to Enhance Mobility
posted on December 15, 2023 10:39Information
11 papers were accepted at AAAI-24
posted on October 30, 2023 09:14Seminar
Talk by Prof. Shuo Li (Associate Professor, Case Western Reserve University / Founding Scientific Director, DIG of London ): AI to eliminate chemical contrast agent in imaging
posted on September 29, 2023 16:37Information
【Event Report】Second International Workshop on Complex Systems Science and Health Neuroscience (Poland, Sep. 25, 2023)
posted on September 25, 2023 20:05Information
35 papers were accepted at NeurIPS 2023
posted on August 1, 2023 13:50Information
3 papers were accepted at KDD 2023
posted on July 21, 2023 09:36Information
7 papers have been accepted at ICCV 2023
posted on July 11, 2023 22:24Information
[Accepted Paper] MedIM: Boost Medical Image Representation via Radiology Report-guided Masking (MICCAI 2023)
posted on July 11, 2023 22:24Information
[Accepted Paper]Towards AI-driven radiology education: A self-supervised segmentation-based framework for high-precision medical image editing (MICCAI 2023, Early Acceptance)
posted on December 25, 2022 18:45Information
Three papers were accepted at AAAI-23
posted on January 27, 2023 20:39Information
7 papers have been accepted at ICLR 2023
posted on November 15, 2022 10:08Information
MIRAI2.0 Researchers Visits RIKEN AIP
posted on September 27, 2022 19:29Information
23 papers were accepted at NeurIPS 2022
posted on April 8, 2022 16:13InformationAward
FY2022 MEXT Science and Technology Award
posted on March 7, 2022 16:39Information
Nine papers were accepted at CVPR 2022
posted on March 9, 2021 16:01Information
Papers were accepted at CVPR 2021
posted on January 26, 2021 15:17Information
Nine papers were accepted at ICLR 2021
posted on January 27, 2021 11:12Information
Five papers were accepted at AAAI-21
posted on October 2, 2020 09:00Information
21 papers were accepted at NeurIPS 2020
posted on July 7, 2020 15:05Information
Papers were accepted at ECCV 2020
posted on June 3, 2020 14:03Information
Papers were accepted at CVPR 2020
posted on March 13, 2020 11:20Information
Four papers were accepted at ICLR 2020
posted on December 5, 2019 09:30Information
Fourteen papers were accepted at AAAI-20
posted on June 3, 2019 14:20Information
Eleven papers have been accepted at CVPR 2019
posted on September 7, 2018 17:55Information
Twelve papers are accepted at NeurIPS 2018