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ORCIDMOVI@MICCAI 2024: Marrakesh, Morocco
- Yuankai Huo
, Bryan A. Millis, Yuyin Zhou, Khaled Younis, Xiao Wang, Yucheng Tang:
Medical Optical Imaging and Virtual Microscopy Image Analysis - Second International Workshop, MOVI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings. Lecture Notes in Computer Science 15371, Springer 2025, ISBN 978-3-031-77785-1
Medical Optical Imaging and Virtual Microscopy Image Analysis
- Yunheng Wu, Jiazhen Pan, Shuntaro Kawamura, Masahiro Oda, Yuichiro Hayashi, Takanori Takebe, Daniel Rueckert, Kensaku Mori:
A Deployable Microscopic Image Segmentation Look-Up Table Based on A Dilated CNN. 3-13 - Serban Vadineanu, Daniël Maria Pelt, Oleh Dzyubachyk, Kees Joost Batenburg:
From Feature Maps to Few-Shot Cell Segmentation. 14-24 - Elena Pianfetti, Dario Cardamone, Emanuele Roscioli, Giorgio Ciano, Giuseppe Maccari, Claudia Sala, Francesca Micoli, Rino Rappuoli, Duccio Medini, Elisa Ficarra:
Deep Learning for Classifying Anti-Shigella Opsono- Phagocytosis-Promoting Monoclonal Antibodies. 25-35 - Desislav Nikolaev Ivanov, Carlo Alberto Barbano, Marco Grangetto:
Multi-target Stain Normalization for Histology Slides. 36-44 - Oleh Dzyubachyk, Abraham J. Koster, Boudewijn P. F. Lelieveldt:
Intensity Inhomogeneity Correction for Large Panoramic Electron Microscopy Images. 45-54 - Evan Schwab, Bharat Annaldas, Nisha Ramesh, Anna Lundberg, Vishal Shelke, Xinran Xu, Cole Gilbertson, Jiyun Byun, Ernest T. Lam:
Fully Automated CTC Detection, Segmentation and Classification for Multi-channel IF Imaging. 55-65 - Zhuxian Guo, Amine Marzouki, Jean-François Emile, Henning Müller, Camille Kurtz, Nicolas Loménie:
Lymphoid Infiltration Assessment of the Tumor Margins in H&E Slides. 66-75 - Huajia Wang, Yinglan Kuang, Yanling Zhou, Xin Ye, Xing Lu:
TRP-Net: Transformer with RMM and PPM for High-Efficiency Circulating Abnormal Cells Detection in Multichannel Fluorescence Imaging. 76-85 - Michaela Cohrs, Shiwoo Koak, Yejin Lee, Yu Jin Sung, Wesley De Neve, Hristo L. Svilenov, Utku Ozbulak:
Color Flow Imaging Microscopy Improves Identification of Stress Sources of Protein Aggregates in Biopharmaceuticals. 86-96 - Maximilian Fischer, Peter Neher, Tassilo Wald, Silvia Dias Almeida, Shuhan Xiao, Peter J. Schüffler, Rickmer Braren, Michael Götz, Alexander Muckenhuber, Jens Kleesiek, Marco Nolden, Klaus H. Maier-Hein:
Learned Image Compression for HE-Stained Histopathological Images via Stain Deconvolution. 97-107 - Yunheng Wu, Martin J. Menten, Linus Kreitner, Shuntaro Kawamura, Masahiro Oda, Yuichiro Hayashi, Takanori Takebe, Daniel Rueckert, Kensaku Mori:
CLSMI2T3: 3D CLSM Vasculature Volume Reconstruction from A Single 2D Slice by Off-Focal Plane Signal Using Synthetic Data. 108-118 - Jiacheng Wang, Hao Li, Dewei Hu, Rui Xu, Xing Yao, Yuankai K. Tao, Ipek Oguz:
Retinal IPA: Iterative KeyPoints Alignment for Multimodal Retinal Imaging. 119-129 - Hussam Azzuni, Abdulmotaleb El-Saddik, Mohammad Yaqub, Min Xu:
MDSN: Multi-stage Context-Aware Nuclei Detection-Segmentation Network. 130-139 - Mohammed Adnan, Qinle Ba, Nazim Shaikh, Shivam Kalra, Satarupa Mukherjee, Auranuch Lorsakul:
Structured Model Pruning for Efficient Inference in Computational Pathology. 140-149 - Bilel Guetarni, Féryal Windal, Halim Benhabiles, Mahfoud Chaibi, Romain Dubois, Emmanuelle Leteurtre, Dominique Collard:
Histopathology Image Embedding Based on Foundation Models Features Aggregation for DLBCL Patient Treatment Response Prediction. 150-159 - Yicong Li, Core Francisco Park, Daniel Xenes, Caitlyn Bishop, Daniel R. Berger, Aravinthan D. T. Samuel, Brock A. Wester, Jeff W. Lichtman, Hanspeter Pfister, Wanhua Li, Yaron Meirovitch:
EM-Compressor: Electron Microscopy Image Compression in Connectomics with Variational Autoencoders. 160-169
Kidney Pathology Image segmentation (KPIs) Challenge
- Xuege Hou, Eastman Z. Y. Wu, Guangyu Dong, Wang Yuan, Yali Li, Shengjin Wang:
AC-UNet: A Self-adaptive Cropping Approach for Kidney Pathology Image Segmentation. 173-181 - Yujia Chen, Wangkai Li, Zhaoyang Li, Rui Sun, Tianzhu Zhang, Zhiwei Xiong, Feng Wu:
SAM-Glomeruli: Enhanced Segment Anything Model for Precise Glomeruli Segmentation. 182-191 - Pengzhou Cai, Xueyuan Zhang, Xiaowen Wang, Baolin Du, Libin Lan, Ze Zhao:
A Robust Deep Learning Method for WSI-Level Diseased Glomeruli Segmentation. 192-201 - Amit Kumar, Dev Kumar Das, Gunjan Deotale, Vedant Dalimkar, Tijo Thomas, Nitin Singhal:
Ensembled SegNeXt Based Glomeruli Segmentation. 202-209 - Maria Sánchez, Helena Sánchez, Carlos Pérez de Arenaza, David Ribalta, Nerea Arrarte, Oscar Camara, Adrian Galdran:
Glomeruli Segmentation in Whole-Slide Images: Is Better Local Performance Always Better? 210-217
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