Preliminary Program at-a-Glance


21st ΙΕΕΕ International Symposium on Biomedical Imaging – ISBI 2024
Preliminary Program at-a-Glance

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The final program will be announced on April 10.
Monday 27 May 2024
08.00 - 18.00 Registration (foyer 1)
08.00 - 18.00 Art meets Biomedical Imaging (foyer 2)
09.00 - 10.30 Challenges / Tutorials Industry session
Workshops
10.30 - 11.00 Coffee   break
11.00 - 12.30 Challenges / Tutorials Industry session
Workshops
12.30 - 14.00 Lunch (on your own)
Networking lunch
14.00 - 15.00 Plenary talk*
15.00 - 16.30 Challenges / Tutorials Oral sessions Pharma session
16.30 - 17.00 Coffee   break
17.00 - 18.30 Challenges / Tutorials Oral sessions Industry session
18.30 - 20.30 Welcome reception
   
   
Tuesday
28 May 2024
Wednesday
29 May 2024
Thursday
30 May 2024
08.00 - 18.00 Registration (foyer 1) Registration (foyer 1) Registration (foyer 1)
08.00 - 18.00 Art meets Biomedical
Imaging (foyer 2)
Art meets Biomedical
Imaging (foyer 2)
Art meets Biomedical
Imaging (foyer 2)
08.30 - 09.30 Plenary talk* Plenary talk* Plenary talk*
09.30 - 11.00 Challenges Oral sessions Challenges Oral sessions Oral sessions
11.00 - 11.30 Coffee break Coffee break Coffee break
11.30 - 13.00 Challenges Oral sessions Challenges Oral sessions Oral sessions
13.00 - 14.30 Lunch (on your own)
Lunch with leaders
Lunch (on your own)
Women in Biomedical Imaging lunch
Lunch (on your own)
14.30 - 15.30 Clinical focus session Clinical focus session Clinical focus session
15.30 - 16.30 Poster session Poster session Poster session
16.30 - 17.00 Coffee break Coffee break Coffee break
17.00 - 18.30 Challenges Oral sessions Challenges Oral sessions Challenges / Tutorials Oral sessions

*Plenary talks:

  • Anant Madabhushi, Robert W Woodruff Professor of Biomedical Engineering, Emory University, “Getting serious about AI in healthcare: Retrospective and prospective validation”
  • Joseph Sifakis, Emeritus Research Director at Verimag, “Artificial Intelligence: Where we are, where we are going”
  • Katherine Ferrara, Professor and Division Chief, Molecular Imaging Program at Stanford, “Personalized imaging and theragnostics”
  • Francis Bach, Machine learning Group leader, Inria, Ecole Normale Supérieure, “Information theory with kernel methods”