- 2024
- Qin An, Hirohisa Oda, Yuichiro Hayashi, Takayuki Kitasaka, Aitaro Takimoto, Akinari Hinoki, Hiroo Uchida, Kojiro Suzuki, Masahiro Oda, Kensaku Mori:
HTSeg: Hybrid Two-Stage Segmentation Framework for Intestine Segmentation from CT Volumes. CLIP@MICCAI 2024: 32-41 - Francesca De Benetti, Yousef Yaganeh, Claus Belka, Stefanie Corradini, Nassir Navab, Christopher Kurz, Guillaume Landry, Shadi Albarqouni, Thomas Wendler:
CloverNet - Leveraging Planning Annotations for Enhanced Procedural MR Segmentation: An Application to Adaptive Radiation Therapy. CLIP@MICCAI 2024: 1-10 - Neil De La Fuente, Mireia Majó, Irina Luzko, Henry Córdova, Gloria Fernández-Esparrach, Jorge Bernal:
Enhancing Image Classification in Small and Unbalanced Datasets Through Synthetic Data Augmentation. CLIP@MICCAI 2024: 11-21 - Eung-Joo Lee, Vivek Kumar Singh, Elham Yousef Kalafi, Peng Guo, Arinc Ozturk, Theodore T. Pierce, Brian A. Telfer, Anthony E. Samir, Laura J. Brattain:
Abdominal Ultrasound Similarity Analysis for Quantitative Longitudinal Liver Fibrosis Staging. CLIP@MICCAI 2024: 73-82 - Gaëlle Leroux, Claudia Mattos, Jeanne Claret, Eduardo Caleme, Selene Barone, Marcela Gurgel, Felicia Miranda, Joao Goncalves, Paulo Zupelari Goncalves, Marina Morettin-Zupelari, Larry Wolford, Nina Hsu, Antonio C. Ruellas, Jonas Bianchi, Juan Prieto, Lucia H. S. Cevidanes:
Novel CBCT-MRI Registration Approach for Enhanced Analysis of Temporomandibular Degenerative Joint Disease. CLIP@MICCAI 2024: 63-72 - YingLiang Ma, Sandra Howell, C. Aldo Rinaldi, Tarv Dhanjal, Kawal S. Rhode:
Real-Time Device Detection with Rotated Bounding Boxes and Its Clinical Application. CLIP@MICCAI 2024: 83-93 - Kim-Ngan Nguyen, Han Ching Yong, Terence Sim:
Patient-Specific 3D Burn Size Estimation. CLIP@MICCAI 2024: 53-62 - Srivibha Parthasarathy, Durga R, Venkateswaran N, Vivek Maik, Aparna Purayath, Manojkumar Lakshmanan, Mohanasankar Sivaprakasam:
EnPrO: Enhancing Precision Through Optimization in Image-Guided Spine Surgical Procedures. CLIP@MICCAI 2024: 42-52 - Baochang Zhang, Yiwen Liu, Shuting Liu, Heribert Schunkert, Reza Ghotbi, Nassir Navab:
Automated Multi-View Planning for Endovascular Aneurysm Repair Procedures. CLIP@MICCAI 2024: 22-31 - Klaus Drechsler
, Cristina Oyarzun Laura, Moti Freiman, Yufei Chen, Stefan Wesarg, Marius Erdt:
Clinical Image-Based Procedures - 13th International Workshop, CLIP 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings. Lecture Notes in Computer Science 15196, Springer 2024, ISBN 978-3-031-73082-5 [contents] - 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
