Diagnose Like a Radiologist: Hybrid Neuro-Probabilistic Reasoning for
Attribute-Based Medical Image Diagnosis

Diagnose Like a Radiologist: Hybrid Neuro-Probabilistic Reasoning for Attribute-Based Medical Image Diagnosis

19 August 2022

Chaoqi Chen

Papers citing "Diagnose Like a Radiologist: Hybrid Neuro-Probabilistic Reasoning for Attribute-Based Medical Image Diagnosis"

17 / 17 papers shown

Title
Longitudinal Causal Image Synthesis Yujia Li Han Li ans S. Kevin Zhou DiffM MedIm 16 0 0 23 Oct 2024
Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks Junlin Hou Sicen Liu Yequan Bie Hongmei Wang Andong Tan Luyang Luo Hao Chen XAI 20 3 0 03 Oct 2024
ViKL: A Mammography Interpretation Framework via Multimodal Aggregation of Visual-knowledge-linguistic Features Xin Wei Yaling Tao Changde Du Gangming Zhao Yizhou Yu Jinpeng Li 26 0 0 24 Sep 2024
Learning Discretized Bayesian Networks with GOMEA Damy M. F. Ha T. Alderliesten Peter A. N. Bosman 9 0 0 19 Feb 2024
CLIP in Medical Imaging: A Comprehensive Survey Zihao Zhao Yuxiao Liu Han Wu Yonghao Li Sheng Wang L. Teng Disheng Liu Zhiming Cui Qian Wang Dinggang Shen CLIP MedIm LM&MA VLM 21 43 0 12 Dec 2023
Leveraging Anatomical Constraints with Uncertainty for Pneumothorax Segmentation Han Yuan Chuan Hong Nguyen Tuan Anh Tran Xinxing Xu Nan Liu 20 7 0 26 Nov 2023
Generalizing Medical Image Representations via Quaternion Wavelet Networks Luigi Sigillo Eleonora Grassucci A. Uncini Danilo Comminiello MedIm 22 5 0 16 Oct 2023
Attention-Map Augmentation for Hypercomplex Breast Cancer Classification Eleonora Lopez Filippo Betello Federico Carmignani Eleonora Grassucci Danilo Comminiello 17 12 0 11 Oct 2023
A Transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics Hong-Yu Zhou Yizhou Yu Chengdi Wang Shu Zhen Zhang Yuanxu Gao Jia-Yu Pan Jun Shao Guangming Lu Kang Zhang Weimin Li MedIm 11 149 0 01 Jun 2023
Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions Luyang Luo Xi Wang Yi-Mou Lin Xiaoqi Ma Andong Tan R. Chan V. Vardhanabhuti W. C. Chu Kwang-Ting Cheng Hao Chen 20 46 0 13 Apr 2023
Advancing Radiograph Representation Learning with Masked Record Modeling Hong-Yu Zhou Chenyu Lian Lian-cheng Wang Yizhou Yu MedIm 14 54 0 30 Jan 2023
Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization Chaoqi Chen Luyao Tang Feng Liu Gangming Zhao Yue Huang Yizhou Yu 17 31 0 14 Oct 2022
A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective Chaoqi Chen Yushuang Wu Qiyuan Dai Hong-Yu Zhou Mutian Xu Sibei Yang Xiaoguang Han Yizhou Yu ViT MedIm AI4CE 25 73 0 27 Sep 2022
Computer-aided Tuberculosis Diagnosis with Attribute Reasoning Assistance C. Pan Gangming Zhao Junjie Fang Baolian Qi Jiaheng Liu Chaowei Fang Dingwen Zhang Jinpeng Li Yizhou Yu 17 7 0 01 Jul 2022
Multi-View Hypercomplex Learning for Breast Cancer Screening Eleonora Lopez Eleonora Grassucci Martina Valleriani Danilo Comminiello 23 8 0 12 Apr 2022
GREN: Graph-Regularized Embedding Network for Weakly-Supervised Disease Localization in X-ray Images Baolian Qi Gangming Zhao Xin Wei Chaowei Fang C. Pan Huiguang He Jinpeng Li 18 10 0 14 Jul 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015