Residual-based Language Models are Free Boosters for Biomedical Imaging

26 March 2024

Papers citing "Residual-based Language Models are Free Boosters for Biomedical Imaging"

8 / 8 papers shown

Title
CROPS: A Deployable Crop Management System Over All Possible State Availabilities Jing Wu Zhixin Lai Shengjie Liu Suiyao Chen Ran Tao Pan Zhao Chuyuan Tao Yikun Cheng N. Hovakimyan OffRL 30 0 0 09 Nov 2024
Deep Representation Learning for Multi-functional Degradation Modeling of Community-dwelling Aging Population Suiyao Chen Xinyi Liu Yulei Li Jing Wu Handong Yao 32 5 0 08 Apr 2024
T3D: Advancing 3D Medical Vision-Language Pre-training by Learning Multi-View Visual Consistency Che Liu Ouyang Cheng Yinda Chen César Quilodrán-Casas Lei Ma Jie Fu Yike Guo Anand Shah Wenjia Bai Rossella Arcucci MedIm 54 8 0 03 Dec 2023
ReConTab: Regularized Contrastive Representation Learning for Tabular Data Suiyao Chen Jing Wu N. Hovakimyan Handong Yao 29 33 0 28 Oct 2023
Linearly Mapping from Image to Text Space Jack Merullo Louis Castricato Carsten Eickhoff Ellie Pavlick VLM 159 104 0 30 Sep 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation Junnan Li Dongxu Li Caiming Xiong S. Hoi MLLM BDL VLM CLIP 388 4,110 0 28 Jan 2022
MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification Jiancheng Yang Rui Shi D. Wei Zequan Liu Lin Zhao B. Ke Hanspeter Pfister Bingbing Ni VLM 161 645 0 27 Oct 2021
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 226 4,424 0 23 Jan 2020