Andrew Hope

13 papers A* 1C 1Journal 7Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Machine Learning Models for Individualized Osteoradionecrosis Risk Prediction in Head and Neck Cancer.
J. Medical Syst.
Mohammad Moharrami, Erin Watson, Shao-Hui Huang, Sreenath Madathil, John Kim, Andrew McPartlin, Nauman H. Malik, Sonica Singhal, Ezra Hahn, John Waldron, Scott V. Bratman, John De Almeida, Christopher Yao, Andrew Hope, Carlos Quinonez, Michael Glogauer, Ali Hosni
2025 J jnl
Author Correction: Patient perceptions of empathy in physician and artificial intelligence chatbot responses to patient questions about cancer.
npj Digit. Medicine
David Chen, Kabir Chauhan, Rod Parsa, Zhihui Amy Liu, Fei-Fei Liu, Ernie Mak, Lawson Eng, Breffni Louise Hannon, Jennifer Croke, Andrew Hope, Nazanin Fallah-Rad, Phillip Wong, Srinivas Raman
2025 J jnl
CAST: Time-Varying Treatment Effects with Application to Chemotherapy and Radiotherapy on Head and Neck Squamous Cell Carcinoma.
CoRR
Everest Yang, Ria Vasishtha, Luqman K. Dad, Lisa A. Kachnic, Andrew Hope, Eric Wang, Xiao Wu, Yading Yuan, David J. Brenner, Igor Shuryak
2025 J jnl
Patient perceptions of empathy in physician and artificial intelligence chatbot responses to patient questions about cancer.
npj Digit. Medicine
David Chen, Kabir Chauhan, Rod Parsa, Zhihui Amy Liu, Fei-Fei Liu, Ernie Mak, Lawson Eng, Breffni Louise Hannon, Jennifer Croke, Andrew Hope, Nazanin Fallah-Rad, Phillip Wong, Srinivas Raman
2024 J jnl
Shortcut learning in medical AI hinders generalization: method for estimating AI model generalization without external data.
npj Digit. Medicine
Cathy Ong Ly, Balagopal Unnikrishnan, Tony Tadic, Tirth Patel, Joe Duhamel, Sonja Kandel, Yasbanoo Moayedi, Michael Brudno, Andrew Hope, Heather J. Ross, Chris McIntosh
2021 J jnl
A Machine Learning Challenge for Prognostic Modelling in Head and Neck Cancer Using Multi-modal Data.
CoRR
Michal Kazmierski, Mattea Welch, Sejin Kim, Chris McIntosh, Katrina Rey-McIntyre, Shao-Hui Huang, Tirth Patel, Tony Tadic, Michael F. Milosevic, Fei-Fei Liu, Andrew Hope, Scott V. Bratman, Benjamin Haibe-Kains
2020 — conf
Non-invasive prediction of lymph node risk in oral cavity cancer patients using a combination of supervised and unsupervised machine learning algorithms.
Biomedical Applications in Molecular, Structural, and Functional Imaging
Alberto Traverso, Ali Hosni-Abdalaty, Mohammad Hasan, Tony Tadic, Tirth Patel, Meredith Giuliani, John Kim, Jolie Ringash, John Cho, Scott V. Bratman, Andrew Bayley, John Waldron, Brian O'Sullivan, Jonathan C. Irish, Douglas B. Chepeha, John De Almeida, David Goldstein, David A. Jaffray, Leonard Wee, Andre Dekker, Andrew Hope
2014 — conf
Automatic learning-based selection of beam angles in radiation therapy of lung cancer.
ISBI
Guy Amit, Thomas G. Purdie, Alex Levinshtein, Andrew Hope, Patricia Lindsay, David A. Jaffray, Vladimir Pekar
2011 J jnl
Detection of point landmarks in 3D medical images via phase congruency model.
J. Braz. Comput. Soc.
Ricardo José Ferrari, Stéphane Allaire, Andrew Hope, John J. Kim, David A. Jaffray, Vladimir Pekar
2009 C conf
Survival Prediction in Lung Cancer Treated with Radiotherapy: Bayesian Networks vs. Support Vector Machines in Handling Missing Data.
ICMLA
Andre Dekker, Cary Dehing-Oberije, Dirk De Ruysscher, Philippe Lambin, Kartik Komati, Glenn Fung, Shipeng Yu, Andrew Hope, Wilfried De Neve, Yolande Lievens
2008 — conf
Manifold learning for 4D CT reconstruction of the lung.
CVPR Workshops
Manfred Georg, Richard Souvenir, Andrew Hope, Robert Pless
2008 A* conf
Simultaneous data volume reconstruction and pose estimation from slice samples.
CVPR
Manfred Georg, Richard Souvenir, Andrew Hope, Robert Pless
2004 — conf
microRT: A Conformal Small Animal Irradiator.
ISBI
Daniel A. Low, Sasa Mutic, Perry Grigsby, Milos Vicic, Joseph Deasy, Andrew Hope