v1v2v3 (latest)

Training Medical Image Analysis Systems like Radiologists

28 May 2018

Gabriel Maicas

A. Bradley

Jacinto C. Nascimento

Ian Reid

G. Carneiro

ArXiv (abs)PDF HTML

Papers citing "Training Medical Image Analysis Systems like Radiologists"

21 / 21 papers shown

Title
MedKLIP: Medical Knowledge Enhanced Language-Image Pre-Training in Radiology Chaoyi Wu Xiaoman Zhang Ya Zhang Yanfeng Wang Weidi Xie LM&MA VLM 122 121 0 05 Jan 2023
Rethinking the Number of Shots in Robust Model-Agnostic Meta-Learning Xiaoyue Duan Guoliang Kang Runqi Wang Shumin Han Shenjun Xue Tian Wang Baochang Zhang 76 2 0 28 Nov 2022
Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning Momin Abbas Quan-Wu Xiao Lisha Chen Pin-Yu Chen Tianyi Chen 111 84 0 08 Jun 2022
On sensitivity of meta-learning to support data Mayank Agarwal Mikhail Yurochkin Yuekai Sun 92 21 0 26 Oct 2021
Memory-aware curriculum federated learning for breast cancer classification Amelia Jiménez-Sánchez Mickael Tardy M. A. G. Ballester Diana Mateus Gemma Piella OOD 81 94 0 06 Jul 2021
Multiple Meta-model Quantifying for Medical Visual Question Answering Tuong Khanh Long Do Binh X. Nguyen Erman Tjiputra Minh-Ngoc Tran Quang-Dieu Tran A. Nguyen 83 103 0 19 May 2021
On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning Ren Wang Kaidi Xu Sijia Liu Pin-Yu Chen Tsui-Wei Weng Chuang Gan Meng Wang AAML 100 47 0 20 Feb 2021
Learn like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification Jerry W. Wei A. Suriawinata Bing Ren Xiaoying Liu Mikhail Lisovsky ... Mustafa Nasir-Moin Naofumi Tomita Lorenzo Torresani Jason W. Wei Saeed Hassanpour 105 49 0 29 Sep 2020
$Curriculum learning for improved femur fracture classification: scheduling data with prior knowledge and uncertainty$ Curriculum learning for improved femur fracture classification: scheduling data with prior knowledge and uncertainty Amelia Jiménez-Sánchez Diana Mateus S. Kirchhoff C. Kirchhoff P. Biberthaler Nassir Navab M. A. G. Ballester Gemma Piella 39 19 0 31 Jul 2020
A Survey on Incorporating Domain Knowledge into Deep Learning for Medical Image Analysis Xiaozhen Xie J. Niu Xuefeng Liu Zhengsu Chen Shaojie Tang Shui Yu 92 15 0 25 Apr 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 418 2,004 0 11 Apr 2020
BreastScreening: On the Use of Multi-Modality in Medical Imaging Diagnosis F. M. Calisto N. Nunes Jacinto C. Nascimento 19 42 0 07 Apr 2020
Medical-based Deep Curriculum Learning for Improved Fracture Classification Amelia Jiménez-Sánchez Diana Mateus S. Kirchhoff C. Kirchhoff P. Biberthaler Nassir Navab M. A. G. Ballester Gemma Piella 58 48 0 01 Apr 2020
Overcoming Data Limitation in Medical Visual Question Answering Binh Duc Nguyen Thanh-Toan Do Binh X. Nguyen Tuong Khanh Long Do Erman Tjiputra Quang-Dieu Tran MedIm 67 151 0 26 Sep 2019
Multi-layer Domain Adaptation for Deep Convolutional Networks Ozan Ciga Jianan Chen Anne L. Martel OOD MedIm 60 13 0 05 Sep 2019
Unsupervised Task Design to Meta-Train Medical Image Classifiers Gabriel Maicas Cuong C. Nguyen F. Motlagh Jacinto C. Nascimento G. Carneiro 34 4 0 17 Jul 2019
Difficulty-aware Meta-learning for Rare Disease Diagnosis Xuelong Li Lequan Yu Yueming Jin Chi-Wing Fu Lei Xing Pheng-Ann Heng 77 65 0 30 Jun 2019
Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification Christoph Haarburger Michael Baumgartner Daniel Truhn Mirjam Broeckmann Hannah Schneider S. Schrading Christiane Kuhl Dorit Merhof 86 33 0 14 Jun 2019
Deep Angular Embedding and Feature Correlation Attention for Breast MRI Cancer Analysis Luyang Luo Hao Chen Xi Wang Qi Dou Huangjing Lin Juan Zhou Gongjie Li Pheng-Ann Heng 63 23 0 07 Jun 2019
Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning Ilkay Oksuz B. Ruijsink Esther Puyol-Antón J. Clough G. Cruz ... Claudia Prieto René M. Botnar Daniel Rueckert Julia A. Schnabel A. King MedIm 79 91 0 29 Oct 2018
Pre and Post-hoc Diagnosis and Interpretation of Malignancy from Breast DCE-MRI Gabriel Maicas A. Bradley Jacinto C. Nascimento Ian Reid G. Carneiro 82 28 0 25 Sep 2018