Articles

SiameseNet based on multiple instance learning for accurate identification of the histological grade of ICC tumors

in Cancer Imaging and Image-directed Interventions

• Zhizhan Fu
• Fazhi Feng
• Xingguang He
• Tongtong Li
• Xiansong Li
• Jituome Ziluo
• Zixing Huang
• Jinlin Ye

Automated tumor regression grade assessment and survival prediction in esophageal cancer via weakly supervised multiple instance learning

in Pathology

• Zhengjin Liu
• Lin Zhao
• Ziqing Zhao
• Wenjuan Qin
• Jun Zhong
• Fenglian Lin
• Meizhen Lu
• Ruixiang Guo
• Qunhuang Guo
• Hui Xu

Neighborhood attention transformer multiple instance learning for whole slide image classification

in Cancer Imaging and Image-directed Interventions

• Rukhma Aftab
• Qiang Yan
• Juanjuan Zhao
• Gao Yong
• Yue Huajie
• Zia Urrehman
• Faizi Mohammad Khalid

Predicting isocitrate dehydrogenase status in glioma using hierarchical attention-based deep 3D multiple instance learning

in Cancer Imaging and Image-directed Interventions

• Qinqin Xie
• Yongheng Sun
• Yuxia Liang
• Yu Shang
• Haifeng Wang
• Fan Wang
• Rong Wei
• Bin Chen
• Ming Zhang
• Chen Niu

Practical guidelines for Multiple Instance Learning in computational pathology: how embedding choice impacts overall survival prediction

in Integrative Bioinformatics

• Francesca Miccolis
• Elisa Ficarra
• Marta Lovino

A Comparison Between Single- and Multi-Scale Approaches for Classification of Histopathology Images

in Digital Public Health

• Marina D'Amato
• Przemysław Szostak
• Benjamin Torben-Nielsen

Image Descriptors for Weakly Annotated Histopathological Breast Cancer Data

in Connected Health

• Panagiotis Stanitsas
• Anoop Cherian
• Vassilios Morellas
• Resha Tejpaul
• Nikolaos Papanikolopoulos
• Alexander Truskinovsky

Modality-based attention and dual-stream multiple instance convolutional neural network for predicting microvascular invasion of hepatocellular carcinoma

in Gastrointestinal Cancers: Hepato Pancreatic Biliary Cancers

• Zhi Li
• Yutao Wang
• Yuzhao Zhu
• Jiafeng Xu
• Jinzhu Wei
• Jiang Xie
• Jian Zhang

Ensemble transformer-based multiple instance learning for predicting neoadjuvant chemotherapy response from breast cancer biopsy whole-slide images

in Breast Cancer

• Zhenshui Wu
• Kaining Ye
• Jianming Weng
• Zhongping Zhang
• Xuehong Liao
• Kaixin Du

Cheatomaly: weakly supervised video anomaly ranking for exam cheating detection using vision transformers

in Machine Learning and Artificial Intelligence

• El Mehdi Alaoui Mrani
• Anas Bouayad
• Khalid Fardousse

Harnessing Interpretable Deep Learning to Predict Resistance in Klebsiella pneumoniae

in Antibiotic Resistance and New Antimicrobial drugs

• Nicolas Araujo
• Márcia Chagas
• Mateus Santos
• Renata Pereira
• Rafaela Brum
• Felipe Pinheiro
• Melisa Silveira
• Felicita Mabel Duré
• Beatriz Muller
• Audrien Souza

Breast cancer recurrence risk prediction based on MIL

in Pathology

• Jinqiu Chen
• Huyan Xu

A weakly supervised deep learning framework for automated PD-L1 expression analysis in lung cancer

in Cancer Immunity and Immunotherapy

• Feng Jiao
• Zhanxian Shang
• Hongmin Lu
• Peilin Chen
• Shiting Chen
• Jiayi Xiao
• Fuchuang Zhang
• Dadong Zhang
• Chunxin Lv
• Yuchen Han

Boosting Knowledge Base Automatically via Few-Shot Relation Classification

• Ning Pang
• Zhen Tan
• Hao Xu
• Weidong Xiao

Integration of histopathological images and immunological analysis to predict M2 macrophage infiltration and prognosis in patients with serous ovarian cancer

in Cancer Immunity and Immunotherapy

• Ling Zhao
• Jiajia Tan
• Qiuyuan Su
• Yan Kuang