MILLanD@MICCAI

Keyphrases

Publications

2023

Maryna Kvasnytsia, Abel Díaz Berenguer, Hichem Sahli, Jef Vandemeulebroucke
COVID-19 Lesion Segmentation Framework for the Contrast-Enhanced CT in the Absence of Contrast-Enhanced CT Annotations. MILLanD@MICCAI (2023)
Camille Ruppli, Pietro Gori, Roberto Ardon, Isabelle Bloch
Decoupled Conditional Contrastive Learning with Variable Metadata for Prostate Lesion Detection. MILLanD@MICCAI (2023)
Can Cui, Yaohong Wang, Shunxing Bao, Yucheng Tang, Ruining Deng, Lucas W. Remedios, Zuhayr Asad, Joseph T. Roland, Ken S. Lau, Qi Liu, Lori A. Coburn, Keith T. Wilson, Bennett A. Landman, Yuankai Huo
Feasibility of Universal Anomaly Detection Without Knowing the Abnormality in Medical Images. MILLanD@MICCAI (2023)
Yang Yu, Jiahao Wang, Ashish Jith Sreejith Kumar, Bryan Tan, Navya Vanjavaka, Nurul Hafidzah Rahim, Alistair Koh, Shaheen Low, Yih Yian Sitoh, Hanry Yu, Pavitra Krishnaswamy, Ivan Ho Mien
A Multitask Framework for Label Refinement and Lesion Segmentation in Clinical Brain Imaging. MILLanD@MICCAI (2023)
Masakata Kawai, Noriaki Ota, Shinsuke Yamaoka
Large-Scale Pretraining on Pathological Images for Fine-Tuning of Small Pathological Benchmarks. MILLanD@MICCAI (2023)
Rahul G. S., Sriprabha Ramanarayanan, Mohammad Al Fahim, Keerthi Ram, Preejith S. P, Mohanasankar Sivaprakasam
SDLFormer: A Sparse and Dense Locality-Enhanced Transformer for Accelerated MR Image Reconstruction. MILLanD@MICCAI (2023)
Yijie Qu, Qianfei Zhao, Linda Wei, Tao Lu, Shaoting Zhang, Guotai Wang
ScribSD: Scribble-Supervised Fetal MRI Segmentation Based on Simultaneous Feature and Prediction Self-distillation. MILLanD@MICCAI (2023)
Sajith Rajapaksa, Khashayar Namdar, Farzad Khalvati
Combining Weakly Supervised Segmentation with Multitask Learning for Improved 3D MRI Brain Tumour Classification. MILLanD@MICCAI (2023)
Xiongchao Chen, Bo Zhou, Huidong Xie, Xueqi Guo, Qiong Liu, Albert J. Sinusas, Chi Liu
Dual-Domain Iterative Network with Adaptive Data Consistency for Joint Denoising and Few-Angle Reconstruction of Low-Dose Cardiac SPECT. MILLanD@MICCAI (2023)
Krishna Thoriya, Preeti Mutreja, Sumit Kalra, Angshuman Paul
Multi-task Learning for Few-Shot Differential Diagnosis of Breast Cancer Histopathology Images. MILLanD@MICCAI (2023)
Zhaohui Liang, Zhiyun Xue, Sivaramakrishnan Rajaraman, Yang Feng, Sameer K. Antani
Automatic Quantification of COVID-19 Pulmonary Edema by Self-supervised Contrastive Learning. MILLanD@MICCAI (2023)
Peidi Xu, Blaire Lee, Olga V. Sosnovtseva, Charlotte Mehlin Sørensen, Kenny Erleben, Sune Darkner
Extremely Weakly-Supervised Blood Vessel Segmentation with Physiologically Based Synthesis and Domain Adaptation. MILLanD@MICCAI (2023)
Christopher Adnel, Islem Rekik
Affordable Graph Neural Network Framework Using Topological Graph Contraction. MILLanD@MICCAI (2023)
Ji Wu, Zhongfeng Kang, Sebastian Nørgaard Llambias, Mostafa Mehdipour-Ghazi, Mads Nielsen
Active Transfer Learning for 3D Hippocampus Segmentation. MILLanD@MICCAI (2023)
Ziyang Wang, Irina Voiculescu
Exigent Examiner and Mean Teacher: An Advanced 3D CNN-Based Semi-Supervised Brain Tumor Segmentation Framework. MILLanD@MICCAI (2023)
Yunsung Chung, Chanho Lim, Chao Huang, Nassir Marrouche, Jihun Hamm
FBA-Net: Foreground and Background Aware Contrastive Learning for Semi-Supervised Atrium Segmentation. MILLanD@MICCAI (2023)
Tushar Kataria, Beatrice Knudsen, Shireen Y. Elhabian
To Pretrain or Not to Pretrain? A Case Study of Domain-Specific Pretraining for Semantic Segmentation in Histopathology. MILLanD@MICCAI (2023)
Tony Xu, Matthew Rozak, Emmanuel E. Ntiri, Adrienne Dorr, James R. Mester, Bojana Stefanovic, Anne L. Martel, Maged Goubran
Masked Image Modeling for Label-Efficient Segmentation in Two-Photon Excitation Microscopy. MILLanD@MICCAI (2023)
Bella Specktor-Fadida, Anna Levchakov, Dana Schonberger, Liat Ben-Sira, Dafna Ben-Bashat, Leo Joskowicz
Test-Time Augmentation-Based Active Learning and Self-training for Label-Efficient Segmentation. MILLanD@MICCAI (2023)
Gino Gulamhussene, Oleksii Bashkanov, Jazan Omari, Maciej Pech, Christian Hansen, Marko Rak
Using Training Samples as Transitive Information Bridges in Predicted 4D MRI. MILLanD@MICCAI (2023)
Nazanin Moradinasab, Rebecca A. Deaton, Laura S. Shankman, Gary K. Owens, Donald E. Brown
Label-Efficient Contrastive Learning-Based Model for Nuclei Detection and Classification in 3D Cardiovascular Immunofluorescent Images. MILLanD@MICCAI (2023)
Serban Vadineanu, Daniël Maria Pelt, Oleh Dzyubachyk, Kees Joost Batenburg
Reducing Manual Annotation Costs for Cell Segmentation by Upgrading Low-Quality Annotations. MILLanD@MICCAI (2023)
Slim Hachicha, Célia Le, Valentine Wargnier-Dauchelle, Michaël Sdika
Robust Unsupervised Image to Template Registration Without Image Similarity Loss. MILLanD@MICCAI (2023)
Jianfei Liu, Omid Shafaat, Ronald M. Summers
A Dual-Branch Network with Mixed and Self-Supervision for Medical Image Segmentation: An Application to Segment Edematous Adipose Tissue. MILLanD@MICCAI (2023)

volume 14307, 2023

Medical Image Learning with Limited and Noisy Data - Second International Workshop, MILLanD 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings MILLanD@MICCAI 14307 (2023)

2022

volume 13559, 2022

Medical Image Learning with Limited and Noisy Data - First International Workshop, MILLanD 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings MILLanD@MICCAI 13559 (2022)