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 AnalyticsLink opens in a new window 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 |
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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 |
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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 |
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Warwick-NVIDIA Knowledge Exchange (Session-II)
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13 Jan 2021 |
Jonny Hancox, NVIDIA |
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Warwick-NVIDIA Knowledge Exchange (Session-I)
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6 Jan 2021 |
Jonny Hancox, NVIDIA |
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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.2020.101903Link opens in a new window.
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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. |