Philip Quirke

1. Understanding Addition in Transformers
   2023/10/19 by Philip Quirke, Quirke, Philip, Fazl +1 · 7 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
2. Image-based consensus molecular subtype (imCMS) classification of colorectal cancer using deep learning
   2020/07/20 by Korsuk Sirinukunwattana, Enric Domingo, Susan D Richman +34 · 27 citations
   Computer Science · Medicine · #AI in cancer detection #Radiomics and Machine Learning in Medical Imaging #Ferroptosis and cancer prognosis
3. Planning in a recurrent neural network that plays Sokoban
   2024/07/22 by Mohammad Taufeeque, Taufeeque, Mohammad, Philip Quirke +11 · 4 citations
   Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications
4. HER2 overexpression and amplification as a potential therapeutic target in colorectal cancer: analysis of 3256 patients enrolled in the QUASAR, FOCUS and PICCOLO colorectal cancer trials
   2015/12/22 by Susan D Richman, Susan D. Richman, Katie Southward +23 · 25 citations
   Medicine · #HER2/EGFR in Cancer Research #Colorectal Cancer Treatments and Studies #Monoclonal and Polyclonal Antibodies Research
5. Beyond Monoliths: Expert Orchestration for More Capable, Democratic, and Safe Language Models
   2025/05/28 by Philip Quirke, Quirke, Philip, Narmeen Oozeer +18 · 2 citations
   Computer Science · #Topic Modeling
6. Additional loss of MSH2 and MSH6 expression in sporadic deficient mismatch repair colorectal cancer due to MLH1 promoter hypermethylation
   2019/02/05 by Alice Westwood, Alice C. Westwood, Amy Glover +11 · 8 citations
   Medicine · #Genetic factors in colorectal cancer #Colorectal Cancer Screening and Detection #Colorectal Cancer Treatments and Studies