Biomedical Data Analytics News
TIA Centre's Adam Shephard discusses AI and oral cancer risk in The Pathologist
We are delighted to share that Adam Shephard was featured in article, The Hidden Signals of Oral Cancer Risk鈥�, discussing how AI could help improve risk assessment and outcomes for patients with oral epithelial dysplasia. Read the article .
TIA at ECDP 2026
European Congress on Digital Pathology (ECDP), Graz, Austria
The TIA Centre was out in full force again at the 22nd European Congress on Digital Pathology (ECDP) 2026, this year held in Graz, just a few kilometres from Arnold Schwarzenegger's birthplace. With temperatures regularly exceeding 30掳C, attendees enjoyed not only a packed scientific programme but also the opportunity to experience one of Austria's most picturesque cities, famous for its historic Old Town and the iconic Schlossberg clock tower overlooking the city. Read more.
By Adam Shephard
天美传媒 to host 2027 Medical Image Understanding and Analysis Conference
The Tissue Image Analytics Centre, based in the Department of Computer Science at Warwick University, is delighted to announce that the 天美传媒 have been awarded the honour of hosting the 2027 Medical Image Understanding and Analysis Conference. Read more.
Eight papers accepted to NeurIPS 2024
Eight papers authored by Computer Science researchers from Warwick have been accepted for publication at the , the leading international venue for machine learning research, which will be held on 10-15 December 2024 in Vancouver, British Columbia, Canada:
- Generating Origin-Destination Matrices in Neural Spatial Interaction Models, by Ioannis Zachos, Mark Girolami, and Theodoros Damoulas
- Interventionally Consistent Surrogates for Complex Simulation Models, by Joel Dyer, Nicholas Bishop, Yorgos Felekis, Fabio Massimo Zennaro, Ani Calinescu, Theodoros Damoulas, and Michael Wooldridge
- Learning the Expected Core of Strictly Convex Stochastic Cooperative Games, by Phuong Nam Tran, The Anh Ta, Shuqing Shi, Debmalya Mandal, Yali Du, and Long Tran-Thanh
- Physics-Informed Variational State-Space Gaussian Processes, by Oliver Hamelijnck, Arno Solin, and Theodoros Damoulas
- SARAD: Spatial Association-Aware Anomaly Detection and Diagnosis for Multivariate Time Series, by Zhihao Dai, Ligang He, Shuanghua Yang, and Matthew Leeke
- Symmetric Linear Bandits with Hidden Symmetry, by Phuong Nam Tran, The Anh Ta, Debmalya Mandal, and Long Tran-Thanh
- The Effectiveness of Surprisingly Popular Voting with Partial Preferences, by Hadi Hosseini, Debmalya Mandal, and Amrit Puhan
- What makes unlearning hard and what to do about it, by Kairan Zhao, Meghdad Kurmanji, George-Octavian B膬rbulescu, Eleni Triantafillou, and Peter Triantafillou
SIGMOD 2024 Test of Time Award for 鈥楶rivBayes鈥�
The work of Professor Graham Cormode has been recognized with a 鈥渢est of time鈥� award. The ACM SIGMOD conference presents an award each year for the paper from SIGMOD 10-12 years previously that has had the biggest impact, and passed the 鈥渢est-of-time鈥�. The 2014 paper 鈥淧rivBayes: private data release via bayesian networks鈥� (Jun Zhang, Graham Cormode, Cecilia M. Procopiuc, Divesh Srivastava, Xiaokui Xiao) was selected for this honour. The award will be presented at the 2024 ACM SIGMOD Conference in Santiago.