High-Resolution Modeling of Cellular Signaling Networks. - Michael Baym; Chris Bakal; Norbert Perrimon; Bonnie Berger (RECOMB, 2008)

Using iterative cluster merging with improved gap statistics to perform online phenotype discovery in the context of high-throughput RNAi screens. - Zheng Yin; Xiaobo Zhou 001; Chris Bakal; Fuhai Li 001; Youxian Sun; Norbert Perrimon; Stephen T. C. Wong (BMC Bioinform., 2008)

Novel Morphological Phenotypes Discovery in High-Content Screens Using Underused Features. - Chen Lin; Pengyu Hong; Chris Bakal; Norbert Perrimon (BICoB, 2010)

Discovery of Rare Phenotypes in Cellular Images Using Weakly Supervised Deep Learning. - Heba Sailem; Mar Arias-Garcia; Chris Bakal; Andrew Zisserman; Jens Rittscher (ICCV Workshops, 2017)

NucliTrack: an integrated nuclei tracking application. - Sam Cooper; Alexis R. Barr; Robert Glen; Chris Bakal (Bioinform., 2017)

CAMIL: Context-Aware Multiple Instance Learning for Whole Slide Image Classification. - Olga Fourkioti; Avi Arampatzis; Chen Jin; Matt De Vries; Chris Bakal (CoRR, 2023)

Dynamic pH fluctuations in cancer cells on CMOS-based Lab-on-Chip ISFET arrays. - Melina Beykou; Costanza Gulli; Vicky Bousgouni; Nicolas Moser 001; Chris Bakal; Pantelis Georgiou (BioCAS, 2024)

SurvivMIL: A Multimodal, Multiple Instance Learning Pipeline for Survival Outcome of Neuroblastoma Patients. - Reed Naidoo; Olga Fourkioti; Matt De Vries; Chris Bakal (COMPAY@MICCAI, 2024)

CAMIL: Context-Aware Multiple Instance Learning for Cancer Detection and Subtyping in Whole Slide Images. - Olga Fourkioti; Matt De Vries; Chris Bakal (ICLR, 2024)

Interpretable Phenotypic Profiling of 3D Cellular Morphodynamics. - Matt De Vries; Reed Naidoo; Olga Fourkioti; Lucas G. Dent; Nathan Curry; Christopher Dunsby; Chris Bakal (MICCAI (10), 2024)

Not seeing the trees for the forest. The impact of neighbours on graph-based configurations in histopathology. - Olga Fourkioti; Matt De Vries; Reed Naidoo; Chris Bakal (BMC Bioinform., 2025)