Chris Bakal

12 papers A* 1B 1Journal 5Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Morphologically Intelligent Perturbation Prediction with FORM.
CoRR
Reed Naidoo, Matt De Vries, Olga Fourkioti, Vicky Bousgouni, Mar Arias-Garcia, Maria Portillo-Malumbres, Chris Bakal
2025 J jnl
Not seeing the trees for the forest. The impact of neighbours on graph-based configurations in histopathology.
BMC Bioinform.
Olga Fourkioti, Matt De Vries, Reed Naidoo, Chris Bakal
2024 A* conf
CAMIL: Context-Aware Multiple Instance Learning for Cancer Detection and Subtyping in Whole Slide Images.
ICLR
Olga Fourkioti, Matt De Vries, Chris Bakal
2024 — conf
Dynamic pH fluctuations in cancer cells on CMOS-based Lab-on-Chip ISFET arrays.
BioCAS
Melina Beykou, Costanza Gulli, Vicky Bousgouni, Nicolas Moser, Chris Bakal, Pantelis Georgiou
2024 — conf
Interpretable Phenotypic Profiling of 3D Cellular Morphodynamics.
MICCAI (10)
Matt De Vries, Reed Naidoo, Olga Fourkioti, Lucas G. Dent, Nathan Curry, Christopher Dunsby, Chris Bakal
2024 — conf
SurvivMIL: A Multimodal, Multiple Instance Learning Pipeline for Survival Outcome of Neuroblastoma Patients.
COMPAY@MICCAI
Reed Naidoo, Olga Fourkioti, Matt De Vries, Chris Bakal
2023 J jnl
CAMIL: Context-Aware Multiple Instance Learning for Whole Slide Image Classification.
CoRR
Olga Fourkioti, Avi Arampatzis, Chen Jin, Matt De Vries, Chris Bakal
2017 — conf
Discovery of Rare Phenotypes in Cellular Images Using Weakly Supervised Deep Learning.
ICCV Workshops
Heba Sailem, Mar Arias-Garcia, Chris Bakal, Andrew Zisserman, Jens Rittscher
2017 J jnl
NucliTrack: an integrated nuclei tracking application.
Bioinform.
Sam Cooper, Alexis R. Barr, Robert Glen, Chris Bakal
2010 — conf
Novel Morphological Phenotypes Discovery in High-Content Screens Using Underused Features.
BICoB
Chen Lin, Pengyu Hong, Chris Bakal, Norbert Perrimon
2008 B conf
High-Resolution Modeling of Cellular Signaling Networks.
RECOMB
Michael Baym, Chris Bakal, Norbert Perrimon, Bonnie Berger
2008 J jnl
Using iterative cluster merging with improved gap statistics to perform online phenotype discovery in the context of high-throughput RNAi screens.
BMC Bioinform.
Zheng Yin, Xiaobo Zhou, Chris Bakal, Fuhai Li, Youxian Sun, Norbert Perrimon, Stephen T. C. Wong