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Gene-induced Multimodal Pre-training for Image-omic Classification

Gene-induced Multimodal Pre-training for Image-omic Classification

6 September 2023
Ting Jin
Xingran Xie
Renjie Wan
Qingli Li
Yan Wang
    AI4CE
ArXivPDFHTML

Papers citing "Gene-induced Multimodal Pre-training for Image-omic Classification"

11 / 11 papers shown
Title
Any-to-Any Learning in Computational Pathology via Triplet Multimodal Pretraining
Any-to-Any Learning in Computational Pathology via Triplet Multimodal Pretraining
Qichen Sun
Zhengrui Guo
Rui Peng
Hao Chen
Jinzhuo Wang
MedIm
11
0
0
19 May 2025
ModalTune: Fine-Tuning Slide-Level Foundation Models with Multi-Modal Information for Multi-task Learning in Digital Pathology
ModalTune: Fine-Tuning Slide-Level Foundation Models with Multi-Modal Information for Multi-task Learning in Digital Pathology
Vishwesh Ramanathan
Tony Xu
Pushpak Pati
Faruk Ahmed
Maged Goubran
Anne L. Martel
48
0
0
21 Mar 2025
MedUniSeg: 2D and 3D Medical Image Segmentation via a Prompt-driven
  Universal Model
MedUniSeg: 2D and 3D Medical Image Segmentation via a Prompt-driven Universal Model
Yiwen Ye
Ziyang Chen
Jianpeng Zhang
Yutong Xie
Yong Xia
MedIm
39
3
0
08 Oct 2024
Image Distillation for Safe Data Sharing in Histopathology
Image Distillation for Safe Data Sharing in Histopathology
Zhe Li
Bernhard Kainz
DD
OOD
MedIm
48
5
0
19 Jun 2024
Genomics-guided Representation Learning for Pathologic Pan-cancer Tumor
  Microenvironment Subtype Prediction
Genomics-guided Representation Learning for Pathologic Pan-cancer Tumor Microenvironment Subtype Prediction
Fangliangzi Meng
Hongrun Zhang
Ruodan Yan
Guohui Chuai
Chao Li
Qi Liu
MedIm
43
2
0
10 Jun 2024
Transcriptomics-guided Slide Representation Learning in Computational
  Pathology
Transcriptomics-guided Slide Representation Learning in Computational Pathology
Guillaume Jaume
Lukas Oldenburg
Anurag J. Vaidya
Richard J. Chen
Drew F. K. Williamson
Thomas Peeters
Andrew H. Song
Faisal Mahmood
47
25
0
19 May 2024
Foundation Model for Advancing Healthcare: Challenges, Opportunities,
  and Future Directions
Foundation Model for Advancing Healthcare: Challenges, Opportunities, and Future Directions
Yuting He
Fuxiang Huang
Xinrui Jiang
Yuxiang Nie
Minghao Wang
Jiguang Wang
Hao Chen
LM&MA
AI4CE
76
27
0
04 Apr 2024
Continual Self-supervised Learning: Towards Universal Multi-modal
  Medical Data Representation Learning
Continual Self-supervised Learning: Towards Universal Multi-modal Medical Data Representation Learning
Yiwen Ye
Yutong Xie
Jianpeng Zhang
Ziyang Chen
Qi Wu
Yong-quan Xia
CLL
34
14
0
29 Nov 2023
UniMiSS: Universal Medical Self-Supervised Learning via Breaking
  Dimensionality Barrier
UniMiSS: Universal Medical Self-Supervised Learning via Breaking Dimensionality Barrier
Yutong Xie
Jianpeng Zhang
Yong-quan Xia
Qi Wu
MedIm
71
63
0
17 Dec 2021
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
308
7,457
0
11 Nov 2021
A Mutual Information Maximization Perspective of Language Representation
  Learning
A Mutual Information Maximization Perspective of Language Representation Learning
Lingpeng Kong
Cyprien de Masson dÁutume
Wang Ling
Lei Yu
Zihang Dai
Dani Yogatama
SSL
220
165
0
18 Oct 2019
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