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ORCID18th ECCV Workshops 2024: Milan, Italy - Part XVI
- Alessio Del Bue, Cristian Canton, Jordi Pont-Tuset, Tatiana Tommasi:
Computer Vision - ECCV 2024 Workshops - Milan, Italy, September 29-October 4, 2024, Proceedings, Part XVI. Lecture Notes in Computer Science 15638, Springer 2025, ISBN 978-3-031-91720-2 - Juan I. Pisula
, Katarzyna Bozek:
Fine-Tuning a Multiple Instance Learning Feature Extractor with Masked Context Modelling and Knowledge Distillation. 1-15 - Hanqi Jiang, Xixuan Hao, Yuzhou Huang, Chong Ma, Jiaxun Zhang, Yi Pan, Ruimao Zhang:
Advancing Medical Radiograph Representation Learning: A Hybrid Pre-training Paradigm with Multilevel Semantic Granularity. 16-33 - Samuel Tonks, Cuong Q. Nguyen, Steve Hood, Ryan Musso, Ceridwen Hopely, Steve Titus, Minh Doan, Iain B. Styles, Alexander Krull:
Can Virtual Staining for High-Throughput Screening Generalize? 34-50 - Haoyu Wang, Sizheng Guo, Jin Ye, Zhongying Deng, Junlong Cheng, Tianbin Li, Jianpin Chen, Yanzhou Su, Ziyan Huang, Yiqing Shen, Bin Fu, Shaoting Zhang, Junjun He, Yu Qiao:
SAM-Med3D: Towards General-Purpose Segmentation Models for Volumetric Medical Images. 51-67 - Georg Wölflein, Dyke Ferber, Asier Rabasco Meneghetti, Omar S. M. El Nahhas, Daniel Truhn, Zunamys I. Carrero, David J. Harrison, Ognjen Arandjelovic, Jakob Nikolas Kather:
A Good Feature Extractor Is All You Need for Weakly Supervised Pathology Slide Classification. 68-87 - Bo Hu, Guanting Dong, Yueyi Zhang, Zhiwei Xiong:
Boosting Medical Image Registration Network Inherently via Collaborative Learning. 88-105 - Yoichi Furukawa, Satoshi Kamiya, Yoichi Sakurada, Kenji Kashiwagi, Kazuhiro Hotta:
Genetic Information Analysis of Age-Related Macular Degeneration Fellow Eye Using Multi-modal Selective ViT. 106-121 - Timo Kaiser, Vladimír Ulman, Bodo Rosenhahn:
CHOTA: A Higher Order Accuracy Metric for Cell Tracking. 122-138 - Leire Benito-Del-Valle, Aitor Alvarez-Gila, Itziar Eguskiza, Cristina López Saratxaga:
Unleashing the Potential of Synthetic Images: A Study on Histopathology Image Classification. 139-155 - Qingyuan Liu, Avideh Zakhor:
Adapting Segment Anything Model to Melanoma Segmentation in Microscopy Slide Images. 156-171 - Hongkang Song, Zihui Zhang, Yanpeng Zhou, Jie Hu, Zishuo Wang, Hou Him Chan, Chon Lok Lei, Chen Xu, Yu Xin, Bo Yang:
BATseg: Boundary-Aware Multiclass Spinal Cord Tumor Segmentation on 3D MRI Scans. 172-188 - Marjan Famili, Jola Mirecka, Camila Rangel Smith, Anna Kostanska, Nikolai Juraschko, Beatriz Costa-Gomes, Colin M. Palmer, Jeyan Thiyagalingam, Tom Burnley, Mark Basham, Alan R. Lowe:
Affinity-VAE: Incorporating Prior Knowledge in Representation Learning from Scientific Images. 189-206 - Jordi Malé, Juan Fortea, Mateus Rozalem Aranha, Yann Heuzé, Neus Martínez-Abadías, Xavier Sevillano:
Towards the Discovery of Down Syndrome Brain Biomarkers Using Generative Models. 207-221 - Illia Tsiporenko, Pavel Chizhov, Dmytro Fishman:
Going Beyond U-Net: Assessing Vision Transformers for Semantic Segmentation in Microscopy Image Analysis. 222-238 - Shwet Makadiya, K. Pavan Kumar Reddy, Jayavardhana Gubbi:
SS-MIL: Attention-Based Selective Correlated Multiple Instance Learning for Whole Slide Image Classification. 239-251 - Ashesh Ashesh, Joran Deschamps, Florian Jug:
MicroSSIM: Improved Structural Similarity for Comparing Microscopy Data. 252-266 - Jay Won Kim, Sungbin Bae:
Generalized Segmentation for Maxillary Sinus and Mandibular Canal in Panoramic X-Rays. 267-280 - Shehan Perera, Yunus Erzurumlu, Deepak Gulati, Alper Yilmaz:
MobileUNETR: A Lightweight End-to-End Hybrid Vision Transformer For Efficient Medical Image Segmentation. 281-299 - Andrey Ignatov, Grigory Malivenko:
NCT-CRC-HE: Not All Histopathological Datasets are Equally Useful. 300-317 - Johannes Seiffarth, Luisa Blöbaum, Richard D. Paul, Nils Friederich, Angelo Jovin Yamachui Sitcheu, Ralf Mikut, Hanno Scharr, Alexander Grünberger, Katharina Nöh:
Tracking One-in-a-Million: Large-Scale Benchmark for Microbial Single-Cell Tracking with Experiment-Aware Robustness Metrics. 318-334 - Manahil Raza, Muhammad Dawood, Talha Qaiser, Nasir M. Rajpoot:
A Novel Approach to Linking Histology Images with DNA Methylation. 335-349
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