FATE: Feature-Agnostic Transformer-based Encoder for learning generalized embedding spaces in flow cytometry data

6 November 2023

Papers citing "FATE: Feature-Agnostic Transformer-based Encoder for learning generalized embedding spaces in flow cytometry data"

7 / 7 papers shown

Title
On the importance of local and global feature learning for automated measurable residual disease detection in flow cytometry data Lisa Weijler Michael Reiter Pedro Hermosilla Margarita Maurer-Granofszky Michael N. Dworzak 77 0 0 23 Nov 2024
Automated Immunophenotyping Assessment for Diagnosing Childhood Acute Leukemia using Set-Transformers Elpiniki Maria Lygizou Michael Reiter Margarita Maurer-Granofszky Michael N. Dworzak Radu Grosu 20 0 0 26 Jun 2024
Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion Models Jiale Xu Xintao Wang Weihao Cheng Yan-Pei Cao Ying Shan Xiaohu Qie Shenghua Gao 188 161 0 28 Dec 2022
Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training Renrui Zhang Ziyu Guo Rongyao Fang Bingyan Zhao Dong Wang Yu Qiao Hongsheng Li Peng Gao 3DPC 178 244 0 28 May 2022
CLIP-GEN: Language-Free Training of a Text-to-Image Generator with CLIP Zihao W. Wang Wei Liu Qian He Xin-ru Wu Zili Yi CLIP VLM 190 73 0 01 Mar 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 305 7,434 0 11 Nov 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 255 4,777 0 24 Feb 2021