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Publication search results
found 205 matches
- 2023
- Luc Anchling, Nathan Hutin, Yanjie Huang, Selene Barone, Sophie Roberts, Felicia Miranda, Marcela Gurgel, Najla Al Turkestani, Sara Tinawi, Jonas Bianchi, Marilia Yatabe, Antonio C. Ruellas, Juan Carlos Prieto, Lucia H. S. Cevidanes:
Automated Orientation and Registration of Cone-Beam Computed Tomography Scans. CLIP/FAIMI/EPIMI@MICCAI 2023: 43-58 - Nitzan Avidan, Moti Freiman:
Deep Learning-Based Fast MRI Reconstruction: Improving Generalization for Clinical Translation. CLIP/FAIMI/EPIMI@MICCAI 2023: 59-69 - Cosmin I. Bercea, Esther Puyol-Antón, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel, Andrew P. King:
Bias in Unsupervised Anomaly Detection in Brain MRI. CLIP/FAIMI/EPIMI@MICCAI 2023: 122-131 - Vien Ngoc Dang, Adrià Casamitjana, Martijn P. A. Starmans, Carlos Martín-Isla, Jerónimo Hernández-González, Karim Lekadir, Alzheimer's Disease Neuroimaging Initiative:
Auditing Unfair Biases in CNN-Based Diagnosis of Alzheimer's Disease. CLIP/FAIMI/EPIMI@MICCAI 2023: 172-182 - Mahsa Dibaji, Neha Gianchandani, Akhil Nair, Mansi Singhal, Roberto Souza, Mariana P. Bento:
Studying the Effects of Sex-Related Differences on Brain Age Prediction Using Brain MR Imaging. CLIP/FAIMI/EPIMI@MICCAI 2023: 205-214 - Yuning Du, Yuyang Xue, Rohan Dharmakumar, Sotirios A. Tsaftaris:
Unveiling Fairness Biases in Deep Learning-Based Brain MRI Reconstruction. CLIP/FAIMI/EPIMI@MICCAI 2023: 102-111 - Nicolás Gaggion, Rodrigo Echeveste, Lucas Mansilla, Diego H. Milone, Enzo Ferrante:
Unsupervised Bias Discovery in Medical Image Segmentation. CLIP/FAIMI/EPIMI@MICCAI 2023: 266-275 - Jeffry Hartanto, Wee Kheng Leow, Andy Khye Soon Yew, Joyce Suang Bee Koh, Tet Sen Howe:
Subject-Specific Modelling of Knee Joint Motion for Routine Pre-operative Planning. CLIP/FAIMI/EPIMI@MICCAI 2023: 21-31 - Yun-Yang Huang, Venesia Chiuwanara, Chao-Hsuan Lin, Po-Chih Kuo:
Mitigating Bias in MRI-Based Alzheimer's Disease Classifiers Through Pruning of Deep Neural Networks. CLIP/FAIMI/EPIMI@MICCAI 2023: 163-171 - Mohamed Huti, Tiarna Lee, Elinor Sawyer, Andrew P. King:
An Investigation into Race Bias in Random Forest Models Based on Breast DCE-MRI Derived Radiomics Features. CLIP/FAIMI/EPIMI@MICCAI 2023: 225-234 - Thorsten Kalb, Kaisar Kushibar, Celia Cintas, Karim Lekadir, Oliver Díaz, Richard Osuala:
Revisiting Skin Tone Fairness in Dermatological Lesion Classification. CLIP/FAIMI/EPIMI@MICCAI 2023: 246-255 - Gayeon Kim, Yufei Chen, Shuai Qi, Yujie Fu, Qi Zhang:
Uncertainty Based Border-Aware Segmentation Network for Deep Caries. CLIP/FAIMI/EPIMI@MICCAI 2023: 70-80 - Amar Kumar, Nima Fathi, Raghav Mehta, Brennan Nichyporuk, Jean-Pierre R. Falet, Sotirios A. Tsaftaris, Tal Arbel:
Debiasing Counterfactuals in the Presence of Spurious Correlations. CLIP/FAIMI/EPIMI@MICCAI 2023: 276-286 - Nilesh Kumar, Ruby Shrestha, Zhiyuan Li, Linwei Wang:
Distributionally Robust Optimization and Invariant Representation Learning for Addressing Subgroup Underrepresentation: Mechanisms and Limitations. CLIP/FAIMI/EPIMI@MICCAI 2023: 183-193 - María Agustina Ricci Lara, Candelaria Mosquera, Enzo Ferrante, Rodrigo Echeveste:
Towards Unraveling Calibration Biases in Medical Image Analysis. CLIP/FAIMI/EPIMI@MICCAI 2023: 132-141 - Tiarna Lee, Esther Puyol-Antón, Bram Ruijsink, Keana Aitcheson, Miaojing Shi, Andrew P. King:
An Investigation into the Impact of Deep Learning Model Choice on Sex and Race Bias in Cardiac MR Segmentation. CLIP/FAIMI/EPIMI@MICCAI 2023: 215-224 - Sophie A. Martin, Francesca Biondo, James H. Cole, Beatrice Taylor:
Brain Matters: Exploring Bias in AI for Neuroimaging Research. CLIP/FAIMI/EPIMI@MICCAI 2023: 112-121 - Carolina Piçarra, Ben Glocker:
Analysing Race and Sex Bias in Brain Age Prediction. CLIP/FAIMI/EPIMI@MICCAI 2023: 194-204 - Matthew Rosenblatt, Javid Dadashkarimi, Dustin Scheinost:
Gradient-Based Enhancement Attacks in Biomedical Machine Learning. CLIP/FAIMI/EPIMI@MICCAI 2023: 301-312 - Dewinda Julianensi Rumala:
How You Split Matters: Data Leakage and Subject Characteristics Studies in Longitudinal Brain MRI Analysis. CLIP/FAIMI/EPIMI@MICCAI 2023: 235-245 - Ario Sadafi, Matthias Hehr, Nassir Navab, Carsten Marr:
A Study of Age and Sex Bias in Multiple Instance Learning Based Classification of Acute Myeloid Leukemia Subtypes. CLIP/FAIMI/EPIMI@MICCAI 2023: 256-265 - Oded Schlesinger, Raj Kundu, Stefan M. Goetz, Guillermo Sapiro, Angel V. Peterchev, J. Matías Di Martino:
Automatic Neurocranial Landmarks Detection from Visible Facial Landmarks Leveraging 3D Head Priors. CLIP/FAIMI/EPIMI@MICCAI 2023: 12-20 - Guy Shani, Moti Freiman, Yosef E. Maruvka:
An Efficient and Accurate Neural Network Tool for Finding Correlation Between Gene Expression and Histological Images. CLIP/FAIMI/EPIMI@MICCAI 2023: 81-88 - Raissa Souza, Emma A. M. Stanley, Nils D. Forkert:
On the Relationship Between Open Science in Artificial Intelligence for Medical Imaging and Global Health Equity. CLIP/FAIMI/EPIMI@MICCAI 2023: 289-300 - Rebecca S. Stone, Pedro Esteban Chavarrias-Solano, Andrew J. Bulpitt, David C. Hogg, Sharib Ali:
Bayesian Uncertainty-Weighted Loss for Improved Generalisability on Polyp Segmentation Task. CLIP/FAIMI/EPIMI@MICCAI 2023: 153-162 - Yael Tudela, Ana García-Rodríguez, Gloria Fernández-Esparrach, Jorge Bernal:
Towards Fine-Grained Polyp Segmentation and Classification. CLIP/FAIMI/EPIMI@MICCAI 2023: 32-42 - Nina Weng, Siavash Bigdeli, Eike Petersen, Aasa Feragen:
Are Sex-Based Physiological Differences the Cause of Gender Bias for Chest X-Ray Diagnosis? CLIP/FAIMI/EPIMI@MICCAI 2023: 142-152 - Chenwei Wu, Xiyu Yang, Emil Ghitman Gilkes, Hanwen Cui, Jiheon Choi, Na Sun, Ziqian Liao, Bo Fan, Mauricio Santillana, Leo A. Celi, Paolo Silva, Luis Filipe Nakayama:
De-identification and Obfuscation of Gender Attributes from Retinal Scans. CLIP/FAIMI/EPIMI@MICCAI 2023: 91-101 - Lukas Zerweck, Stefan Wesarg, Jörn Kohlhammer, Michaela Köhm:
Automated Hand Joint Classification of Psoriatic Arthritis Patients Using Routinely Acquired Near Infrared Fluorescence Optical Imaging. CLIP/FAIMI/EPIMI@MICCAI 2023: 3-11 - Stefan Wesarg, Esther Puyol-Antón, John S. H. Baxter, Marius Erdt, Klaus Drechsler, Cristina Oyarzun Laura, Moti Freiman, Yufei Chen, Islem Rekik, Roy Eagleson, Aasa Feragen, Andrew P. King, Veronika Cheplygina, Melanie Ganz-Benjaminsen, Enzo Ferrante, Ben Glocker, Daniel Moyer, Eike Petersen:
Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging - 12th International Workshop, CLIP 2023 1st International Workshop, FAIMI 2023 and 2nd International Workshop, EPIMI 2023 Vancouver, BC, Canada, October 8 and October 12, 2023 Proceedings. Lecture Notes in Computer Science 14242, Springer 2023, ISBN 978-3-031-45248-2 [contents]
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