Publications

Papers at Highly Selective Journals and Conferences (Peer reviewed)

  1. Mustafa Umit Oner, Hwee Kuan Lee, and Wing-Kin Sung. Weakly supervised clustering by exploiting unique class count. In International Conference on Learning Representations, 2020 (pdf) (code)
  2. Babak Ehteshami Bejnordi, Mitko Veta, Paul Johannes van Diest, Bram van Ginneken, Nico Karssemeijer, Geert Litjens, Jeroen A. W. M. van der Laak, and the CAMELYON16 Consortium [including Mustafa Umit Oner]. Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer. JAMA, 318(22):2199–2210, 12 2017 (pdf)

Papers Under Review and In Manuscript Preparation

  1. Mustafa Umit Oner, Jianbin Chen, Egor Revkov, Anne James, Seow Ye Heng, Arife Neslihan Kaya, Jacob Josiah Santiago Alvarez, Angela Takano, Xin Min Cheng, Tony Kiat Hon Lim, Daniel Shao Weng Tan, Weiwei Zhai, Anders Jacobsen Skanderup, Wing-Kin Sung, and Hwee Kuan Lee. Obtaining spatially resolved tumor purity maps using deep multiple instance learning in a pan-cancer study. [Under Review], 2021
  2. Mustafa Umit Oner, Jared Marc Song Kye-Jet, Hwee Kuan Lee, and Wing-Kin Sung. Distribution based mil pooling filters are superior to point estimate based counterparts. [Under Review], 2021
  3. Mustafa Umit Oner, Mei Ying Ng, Danilo Medina Giron, Chin Fong Wong, Wing-Kin Sung, and Hwee Kuan Lee. Deep learning based multi-resolution whole slide processing pipeline detects malignant glands in prostate core needle biopsies. [In Preparation], 2021

Preprints (Not peer reviewed)

  1. Mustafa Umit Oner, Jianbin Chen, Egor Revkov, Anne James, Seow Ye Heng, Arife Neslihan Kaya, Jacob Josiah Santiago Alvarez, Angela Takano, Xin Min Cheng, Tony Kiat Hon Lim, Daniel Shao Weng Tan, Weiwei Zhai, Anders Jacobsen Skanderup, Wing-Kin Sung, and Hwee Kuan Lee. Obtaining spatially resolved tumor purity maps using deep multiple instance learning in a pan-cancer study. bioRxiv, 2021 (pdf) (code)
  2. Mustafa Umit Oner, Jared Marc Song Kye-Jet, Hwee Kuan Lee, and Wing-Kin Sung. Studying the effect of mil pooling filters on mil tasks. arXiv preprint arXiv:2006.01561, 2020 (pdf) (code)
  3. Mustafa Umit Oner, Yi-Chih Cheng, Hwee Kuan Lee, and Wing-Kin Sung. Training machine learning models on patient level data segregation is crucial in practical clinical applications. medRxiv, 2020 (pdf)

Abstracts at Conferences (Peer reviewed)

  1. Mustafa Umit Oner, Jianbin Chen, Weiwei Zhai, Wing-Kin Sung, and Hwee Kuan Lee. Predicting genetic intra-tumor heterogeneity from digital histopathology slides. In European Congress on Digital Pathology, 2021
  2. Mustafa Umit Oner, Hwee Kuan Lee, and Wing-Kin Sung. A fully automated pipeline for human epidermal growth factor receptor 2 expression prediction in invasive breast cancer. In European Congress on Digital Pathology, 2020