Talks and presentations

How strong are the weak labels in digital histopathology?

  1. Seminar, Center for Virology and Vaccine Research, Harvard Medical School, Boston, MA, USA, Online September 2021

Deep Learning To Improve Cancer Diagnosis

  1. Poster Presentation, Bioinformatics Institute, A*STAR, Singapore, Online September 2021

Exploiting Coarse Level Labels of Tissue Images Using Deep Learning To Improve Cancer Diagnosis

  1. Seminar, Artificial Intelligence, Analytics And Informatics (AI3), Singapore, Online September 2021

Novel Multiple Instance Learning Models for Digital Histopathology

  1. Seminar, Computer Engineering, TOBB ETU, Turkey, Online August 2021

Predicting Genetic Intra-tumor Heterogeneity From Digital Histopathology Slides

  1. Poster Presentation, European Congress on Digital Pathology (June 2021)

Novel Multiple Instance Learning Models for Digital Histopathology

  1. Doctoral Seminar, School of Computing, National University of Singapore, Singapore (April 2021)

Predicting Tumor Purity from Histopathology Slides in a Pan-cancer Study

  1. Scientific Progress Review Meeting, Bioinformatics Institute, A*STAR, Singapore (Jan 2021)
  2. National Cancer Centre Singapore, Singapore (Sep 2020)

Weakly Supervised Clustering By Exploiting Unique Class Count

  1. eko.ai Pte. Ltd., Singapore (May 2020)
  2. International Conference on Learning Representations, Online (Apr 2020)
  3. Institute for Infocomm Research, A*STAR, Singapore (Apr 2020)
  4. Ph.D. Student Symposium, Bioinformatics Institute, A*STAR, Singapore (Jan 2020)

Intra-tumor Heterogeneity Through The Lens of Image Analysis

  1. Scientific Progress Review Meeting, Bioinformatics Institute, A*STAR, Singapore (Jun 2018)
  2. Genome Institute of Singapore, A*STAR, Singapore (Jan 2018)