Papers, Thoughts and Research Insights (PaTaRI)
Together with Prof. David Epstein, I run a journal club called PaTaRI (lit. meaning hamper or basket often associated with surprises) as part of our Tissue Image Analytics centre. The objective of this journal club is to critique and analyze the latest papers as well as encourage a creative discussion on interesting topics to provide research insights and ideas for further exploration. Below is a list of papers/topics we have discussed in our sessions so far.
| Paper Title | Date | Presenters |
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XIV Histological Characterization Techniques
|
8 Dec 2021 |
Fayyaz, Mark, Adam and Dawood. |
| XIII Towards Robust omputational Pathology |
29 Sep 2021 |
Alex, Amina, Fayyaz |
|
XII Surviving Survival Analysis-III: Introduction to Machine Learning Methods for Survival Analysis and Prediction
|
28 May 2021 |
Rob, Amina, Noor, Fayyaz |
|
XI Surviving Survival Analysis-II: Introduction to Machine Learning Methods for Survival Analysis and Prediction
|
23 May 2021 |
David, Adam, Noor, Rob, Amina, Wenqi, and Fayyaz Shan, Nasir |
|
X Surviving Survival Analysis-I: Introduction to Statistical Methods for Survival Analysis and Prediction
|
19 May 2021 |
David, Adam, Noor, Rob, Amina, Wenqi, and Fayyaz Shan, Nasir |
| Dense, high-resolution mapping of cells and tissues from pathology images for the interpretable prediction of molecular phenotypes in cancer by J. A. Diao et al. |
24 Feb 2021 |
Noor, Simon and Rob |
|
Warwick-NVIDIA Knowledge Exchange (Session-II)
|
13 Jan 2021 |
Jonny Hancox, NVIDIA |
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Warwick-NVIDIA Knowledge Exchange (Session-I)
|
6 Jan 2021 |
Jonny Hancox, NVIDIA |
|
Lu, Cheng, Can Koyuncu, German Corredor, Prateek Prasanna, Patrick Leo, XiangXue Wang, Andrew Janowczyk, et al. “Feature-Driven Local Cell Graph (FLocK): New Computational Pathology-Based Descriptors for Prognosis of Lung Cancer and HPV Status of Oropharyngeal Cancers.” Medical Image Analysis, November 16, 2020, 101903. https://doi.org/10.1016/j.media.2020.101903.
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25 Nov 2020 | Simon, Wenqi, Noor, Adam, Hammam & Fayyaz |
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MICCAI 2020 CPATH papers Censoring-Aware Deep Ordinal Regression for Survival Prediction from Pathological Images
Divide-and-Rule: Self-Supervised Learning for Survival Analysis in Colorectal Cancer
Ranking Based Survival Prediction on Histopathological Whole Slide Images
Graph Attention Multi-instance Learning for Accurate Colorectal Cancer Staging
Renal Cell Carcinoma Detection and Subtyping with Minimal Point-Based Annotation in Whole-Slide Images
Modelling Histological Patterns for Differential Diagnosis of Atypical Breast Lesions
|
28 Oct 2020 |
Saad, Srijay, Ruqayya, Adam Navid, Dang, Dawood Coord by Saad & Srijay |
| Pan-Cancer Computational Histopathology Reveals Mutations, Tumor Composition and Prognosis.” Nature Cancer 1, no. 8 (August 2020): 800–810. https://doi.org/10.1038/s43018-020-0085-8. | 30 Sep 2020 | Nasir, Nima, Mohsin, Amina, Ali, Fayyaz, and David |
| Lu, Ming Y., Melissa Zhao, Maha Shady, Jana Lipkova, Tiffany Y. Chen, Drew F. K. Williamson, and Faisal Mahmood. “Deep Learning-Based Computational Pathology Predicts Origins for Cancers of Unknown Primary.” ArXiv:2006.13932 [Cs, q-Bio], June 28, 2020. http://arxiv.org/abs/2006.13932. | 17 Jul 2020 |
Ayesha, Fayyaz, Jev, Shaban, Rawan |
| AbdulJabbar, Khalid, Shan E. Ahmed Raza, Rachel Rosenthal, Mariam Jamal-Hanjani, Selvaraju Veeriah, Ayse Akarca, Tom Lund, et al. “Geospatial Immune Variability Illuminates Differential Evolution of Lung Adenocarcinoma.” Nature Medicine 26, no. 7 (July 2020): 1054–62. https://doi.org/10.1038/s41591-020-0900-x. | 24 Jun 2020 | Shan Raza |
| Lu, Ming Y., Drew F. K. Williamson, Tiffany Y. Chen, Richard J. Chen, Matteo Barbieri, and Faisal Mahmood. “Data Efficient and Weakly Supervised Computational Pathology on Whole Slide Images.” ArXiv:2004.09666 [Cs, Eess, q-Bio], May 21, 2020. http://arxiv.org/abs/2004.09666. | 27 May 2020 | Managed by Nasir. |