Information
Date: Friday, March 29, 2019 10:00-17:00
Venue: TOKYO ELECTRON House of Creativity 3F, Lecture Theater, Katahira Campus, Tohoku University
Website: AIMR Web site
Language: The talks will be given in Japanese
SUURI-COOL Sendai, Tohoku University
Interdisciplinary Theoretical and Mathematical Sciences Program, RIKEN
Advanced Institute for Materials Research, Tohoku University
Research Alliance Center for Mathematical Sciences, Tohoku University
Tohoku Forum for Creativity, Organization for Research Promotion, Tohoku University
JST-CREST "New Challenges for Mathematical Modeling in Clinical Medicine"
Speakers
Noriaki Ogawa (RIKEN)
Takashi Sakajo (Kyoto University)
Jun Seita (RIKEN)
Tetsuro Sekine (Nippon Medical School Hospital)
Yoshiki Sugitani (Tohoku University)
Masato Taki (RIKEN)
Kenji Takizawa (Waseda University)
Takuya Ueda (Tohoku University)
Time Schedule
- 10:00 – 10:40
- Noriaki Ogawa (RIKEN)
- Diagnoses by machine learning and their difficulties
- 10:40 – 11:20
- Masato Taki (RIKEN)
- Two examples of deep learning applications: tumor data and neuroscience
- 11:20 – 12:00
- Yoshiki Sugitani (Tohoku University)
- Deep learning for imbalanced clinical datasets and its application to medication management for dialysis treatments
- 13:20 – 14:00
- Jun Seita (RIKEN)
- Each bio-medical parameter has a unique dynamic-range
- 14:00 – 14:40
- Takuya Ueda (Tohoku University)
- Computational fluid dynamics in cardiovascular diseases — Pathophysiological background to understand model parameters
- 14:40 – 15:20
- Kenji Takizawa (Waseda University)
- Computational mechanics in cardiovascular problems — Methods and applications
- 15:40 – 16:20
- Tetsuro Sekine (Nippon Medical School Hospital)
- Clinical utility of hemodynamic assessment by 3D phase-contrast MRI — From velocity measurement to turbulence estimation
- 16:20 – 17:00
- Takashi Sakajo (Kyoto University)
- Topological flow data analysis and its applications to flows in the heart
- 17:30 – 19:30
- Discussion
Poster [Mar. 12, 2019 Updated]
- Download [PDF]