Pierre Moulin

Pierre Moulin is affiliated with the University of Illinois at Urbana-Champaign in the United States. Their research spans multiple domains within Computer Science, Medicine, and Biochemistry, Genetics and Molecular Biology, with a significant focus on Artificial Intelligence and its applications in medical and biological contexts.

The main fields of study associated with their work include:

• Computer Science
• Medicine
• Biochemistry, Genetics and Molecular Biology

Moulin's research subfields consist predominantly of Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, and Biophysics.

• Artificial Intelligence
• Molecular Biology
• Computer Vision and Pattern Recognition
• Radiology, Nuclear Medicine and Imaging
• Biophysics

In terms of specific topics, their work covers a range of areas focusing on machine learning, image analysis, and medical applications:

• AI in cancer detection
• Adversarial Robustness in Machine Learning
• Cell Image Analysis Techniques
• Anomaly Detection Techniques and Applications
• Radiomics and Machine Learning in Medical Imaging
• Bacillus and Francisella bacterial research
• Colorectal Cancer Screening and Detection

They have participated in multiple research publications across diverse scientific journals and conferences. Some recent papers include:

• A Multicentre, Double-Blind, Placebo-Controlled, Parallel-Group Study to Evaluate the Efficacy, Safety, and Tolerability of the S1P Receptor Agonist KRP203 in Patients with Moderately Active Refractory Ulcerative Colitis (2020, Inflammatory Intestinal Diseases)
• IMI-Bigpicture: A Central Repository for Digital Pathology (2021, Toxicologic Pathology)
• HistoNet: A Deep Learning-Based Model of Normal Histology (2021, Toxicologic Pathology)
• Improving adversarial robustness by learning shared information (2022, Pattern Recognition)
• The Application, Challenges, and Advancement Toward Regulatory Acceptance of Digital Toxicologic Pathology: Results of the 7th ESTP International Expert Workshop (September 20-21, 2019) (2020, Toxicologic Pathology)

The most frequent publication venues include:

• Toxicologic Pathology
• IEEE Transactions on Information Forensics and Security
• arXiv (Cornell University)
• Inflammatory Intestinal Diseases
• Pattern Recognition

Moulin has collaborated extensively with a group of frequent coauthors, who have contributed to multiple works together. These collaborators include:

• Imtiaz Hossain
• Judith Knehr
• Katrien Grünberg
• Erio Barale-Thomas
• Hölger Hoefling

This profile reflects Moulin's involvement in advancing knowledge at the intersection of computational methods and biomedical research, with applications particularly in digital pathology, medical imaging, and machine learning-based cancer detection methodologies.