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Publication search results
found 36 matches
- 2023
- David Bani-Harouni, Tamara T. Mueller, Daniel Rueckert, Georgios Kaissis:
Gradient Self-alignment in Private Deep Learning. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 89-97 - Nourhan Bayasi, Siyi Du, Ghassan Hamarneh, Rafeef Garbi:
Continual-GEN: Continual Group Ensembling for Domain-agnostic Skin Lesion Classification. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 3-13 - Alceu Bissoto, Catarina Barata, Eduardo Valle, Sandra Avila:
Test-Time Selection for Robust Skin Lesion Analysis. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 37-46 - Sharon Chokuwa, Muhammad Haris Khan:
Generalizing Across Domains in Diabetic Retinopathy via Variational Autoencoders. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 265-274 - Siyi Du, Nourhan Bayasi, Ghassan Hamarneh, Rafeef Garbi:
AViT: Adapting Vision Transformers for Small Skin Lesion Segmentation Datasets. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 25-36 - Marawan Elbatel, Hualiang Wang, Robert Martí, Huazhu Fu, Xiaomeng Li:
Federated Model Aggregation via Self-supervised Priors for Highly Imbalanced Medical Image Classification. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 334-346 - Yann Fraboni, Lucia Innocenti, Michela Antonelli, Richard Vidal, Laetitia Kameni, Sébastien Ourselin, Marco Lorenzi:
Validation of Federated Unlearning on Collaborative Prostate Segmentation. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 322-333 - Qiangqiang Gu, Nazim Shaikh, Ping-chang Lin, Srinath Jayachandran, Prasanna Porwal, Xiao Li, Yao Nie:
Cellular Features Based Interpretable Network for Classifying Cell-Of-Origin from Whole Slide Images for Diffuse Large B-cell Lymphoma Patients. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 98-106 - Dewei Hu, Hao Li, Han Liu, Xing Yao, Jiacheng Wang, Ipek Oguz:
MAP: Domain Generalization via Meta-Learning on Anatomy-Consistent Pseudo-Modalities. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 182-192 - Naren Akash R. J, Anirudh Kaushik, Jayanthi Sivaswamy:
Evidence-Driven Differential Diagnosis of Malignant Melanoma. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 57-66 - Indu Joshi, Priyank Upadhya, Gaurav Kumar Nayak, Peter J. Schüffler, Nassir Navab:
DISBELIEVE: Distance Between Client Models Is Very Essential for Effective Local Model Poisoning Attacks. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 297-310 - Wenjie Kang, Bo Li, Janne M. Papma, Lize C. Jiskoot, Peter Paul De Deyn, Geert Jan Biessels, Jurgen A. H. R. Claassen, Huub A. M. Middelkoop, Wiesje M. van der Flier, Inez H. G. B. Ramakers, Stefan Klein, Esther E. Bron:
An Interpretable Machine Learning Model with Deep Learning-Based Imaging Biomarkers for Diagnosis of Alzheimer's Disease. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 69-78 - Sara Ketabi, Pranav Agnihotri, Hamed Zakeri, Khashayar Namdar, Farzad Khalvati:
Multimodal Learning for Improving Performance and Explainability of Chest X-Ray Classification. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 107-116 - Vaibhav Khamankar, Sutanu Bera, Saumik Bhattacharya, Debashis Sen, Prabir Kumar Biswas:
Histopathological Image Analysis with Style-Augmented Feature Domain Mixing for Improved Generalization. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 285-294 - Heejong Kim, Victor Ion Butoi, Adrian V. Dalca, Mert R. Sabuncu:
Empirical Analysis of a Segmentation Foundation Model in Prostate Imaging. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 140-150 - Injae Kim, Jongha Kim, Joonmyung Choi, Hyunwoo J. Kim:
Concept Bottleneck with Visual Concept Filtering for Explainable Medical Image Classification. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 225-233 - Seungkyu Kim, Hyun-Jic Oh, Seonghui Min, Won-Ki Jeong:
Evaluation and Improvement of Segment Anything Model for Interactive Histopathology Image Segmentation. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 245-255 - Sangwook Kim, Thomas G. Purdie, Chris McIntosh:
Cross-Task Attention Network: Improving Multi-task Learning for Medical Imaging Applications. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 119-128 - Anh Tien Nguyen, Jin Tae Kwak:
GPC: Generative and General Pathology Image Classifier. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 203-212 - Carlos Santiago, Miguel Correia, Maria Rita Verdelho, Alceu Bissoto, Catarina Barata:
Global and Local Explanations for Skin Cancer Diagnosis Using Prototypes. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 47-56 - Rachana Sathish, Rahul Venkataramani, K. S. Shriram, Prasad Sudhakar:
Task-Driven Prompt Evolution for Foundation Models. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 256-264 - Dongik Shin, Beomsuk Kim, Seungjun Baek:
CEmb-SAM: Segment Anything Model with Condition Embedding for Joint Learning from Heterogeneous Datasets. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 275-284 - Chamani Shiranthika, Zahra Hafezi Kafshgari, Parvaneh Saeedi, Ivan V. Bajic:
SplitFed Resilience to Packet Loss: Where to Split, that is the Question. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 367-377 - Julio Silva-Rodríguez, Jose Dolz, Ismail Ben Ayed:
Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 213-224 - Wen Tang, Chenhao Pei, Pengxin Yu, Huan Zhang, Xiangde Min, Cancan Chen, Han Kang, Weixin Xu, Rongguo Zhang:
Generating Chinese Radiology Reports from X-Ray Images: A Public Dataset and an X-ray-to-Reports Generation Method. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 79-88 - Yuchen Tian, Jiacheng Wang, Yueming Jin, Liansheng Wang:
Communication-Efficient Federated Skin Lesion Classification with Generalizable Dataset Distillation. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 14-24 - An Wang, Mobarakol Islam, Mengya Xu, Yang Zhang, Hongliang Ren:
SAM Meets Robotic Surgery: An Empirical Study on Generalization, Robustness and Adaptation. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 234-244 - Pochuan Wang, Chen Shen, Weichung Wang, Masahiro Oda, Chiou-Shann Fuh, Kensaku Mori, Holger R. Roth:
ConDistFL: Conditional Distillation for Federated Learning from Partially Annotated Data. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 311-321 - Ruoyou Wu, Cheng Li, Juan Zou, Shanshan Wang:
FedAutoMRI: Federated Neural Architecture Search for MR Image Reconstruction. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 347-356 - Qingyang Wu, Yiqing Shen, Jing Ke:
A General Computationally-Efficient 3D Reconstruction Pipeline for Multiple Images with Point Clouds. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 193-202
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