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2020 – today
- 2024
[c5]Olga Fourkioti, Mat De Vries, Chris Bakal:
CAMIL: Context-Aware Multiple Instance Learning for Cancer Detection and Subtyping in Whole Slide Images. ICLR 2024- [c4]Mat De Vries
, Reed Naidoo, Olga Fourkioti, Lucas G. Dent, Nathan Curry, Christopher Dunsby, Chris Bakal:
Interpretable Phenotypic Profiling of 3D Cellular Morphodynamics. MICCAI (10) 2024: 481-491 - 2023
- [i1]Olga Fourkioti, Avi Arampatzis, Chen Jin, Mat De Vries, Chris Bakal:
CAMIL: Context-Aware Multiple Instance Learning for Whole Slide Image Classification. CoRR abs/2305.05314 (2023)
2010 – 2019
- 2017
- [j2]Sam Cooper, Alexis R. Barr, Robert Glen, Chris Bakal:
NucliTrack: an integrated nuclei tracking application. Bioinform. 33(20): 3320-3322 (2017) - [c3]Heba Sailem, Mar Arias-Garcia, Chris Bakal, Andrew Zisserman, Jens Rittscher:
Discovery of Rare Phenotypes in Cellular Images Using Weakly Supervised Deep Learning. ICCV Workshops 2017: 49-55 - 2010
- [c2]Chen Lin, Pengyu Hong, Chris Bakal, Norbert Perrimon:
Novel Morphological Phenotypes Discovery in High-Content Screens Using Underused Features. BICoB 2010: 184-189
2000 – 2009
- 2008
- [j1]Zheng Yin, Xiaobo Zhou, Chris Bakal, Fuhai Li, Youxian Sun, Norbert Perrimon, Stephen T. C. Wong:
Using iterative cluster merging with improved gap statistics to perform online phenotype discovery in the context of high-throughput RNAi screens. BMC Bioinform. 9 (2008) - [c1]Michael Baym, Chris Bakal, Norbert Perrimon, Bonnie Berger:
High-Resolution Modeling of Cellular Signaling Networks. RECOMB 2008: 257-271
Coauthor Index
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