TAGS: 3D Tumor-Adaptive Guidance for SAM

21 May 2025

Papers citing "TAGS: 3D Tumor-Adaptive Guidance for SAM"

44 / 44 papers shown

Title
Text-guided Foundation Model Adaptation for Long-Tailed Medical Image Classification Sirui Li Li Lin Yijin Huang Pujin Cheng Xiaoying Tang MedIm 66 2 0 27 Aug 2024
Is SAM 2 Better than SAM in Medical Image Segmentation? Sourya Sengupta Satrajit Chakrabarty Ravi Soni MedIm VLM 86 7 0 08 Aug 2024
SAM 2: Segment Anything in Images and Videos Nikhila Ravi Valentin Gabeur Yuan-Ting Hu Ronghang Hu Chaitanya K. Ryali ... Nicolas Carion Chao-Yuan Wu Ross B. Girshick Piotr Dollár Christoph Feichtenhofer VLM MLLM 68 796 0 01 Aug 2024
Optimizing Synthetic Data for Enhanced Pancreatic Tumor Segmentation Linkai Peng Zheyuan Zhang Gorkem Durak Frank H. Miller Alpay Medetalibeyoglu Michael B. Wallace Ulas Bagci MedIm 72 4 0 27 Jul 2024
Large-Scale Multi-Center CT and MRI Segmentation of Pancreas with Deep Learning Zheyuan Zhang Elif Keles Gorkem Durak Yavuz Taktak Onkar Susladkar ... Cemal Yazici T. Tirkes Baris Turkbey Michael B. Wallace Ulas Bagci OOD 54 1 0 20 May 2024
MedCLIP-SAM: Bridging Text and Image Towards Universal Medical Image Segmentation Taha Koleilat Hojat Asgariandehkordi H. Rivaz Yiming Xiao VLM MedIm 91 10 0 29 Mar 2024
Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images Chaoqin Huang Aofan Jiang Jinghao Feng Ya Zhang Xinchao Wang Yanfeng Wang MedIm 68 28 0 19 Mar 2024
ClipSAM: CLIP and SAM Collaboration for Zero-Shot Anomaly Segmentation Shengze Li Jianjian Cao Peng Ye Yuhan Ding Chongjun Tu Tao Chen VLM 60 33 0 23 Jan 2024
SegVol: Universal and Interactive Volumetric Medical Image Segmentation Yuxin Du Fan Bai Tiejun Huang Bo Zhao VLM 70 40 0 22 Nov 2023
Synthetic Boost: Leveraging Synthetic Data for Enhanced Vision-Language Segmentation in Echocardiography Rabin Adhikari Manish Dhakal Safal Thapaliya K. Poudel Prasiddha Bhandari Bishesh Khanal 35 8 0 22 Sep 2023
SAM3D: Segment Anything Model in Volumetric Medical Images Nhat-Tan Bui Dinh-Hieu Hoang Minh-Triet Tran Gianfranco Doretto Donald Adjeroh Brijesh Patel Arabinda Choudhary Ngan Le MedIm 52 40 0 07 Sep 2023
Exploring Transfer Learning in Medical Image Segmentation using Vision-Language Models K. Poudel Manish Dhakal Prasiddha Bhandari Rabin Adhikari Safal Thapaliya Bishesh Khanal VLM 81 19 0 15 Aug 2023
Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation Junde Wu Rao Fu Yuanpei Liu Huihui Fang Zhao-Yang Wang Yanwu Xu Yueming Jin VLM MedIm 113 479 0 25 Apr 2023
Segment Anything Model for Medical Image Analysis: an Experimental Study Maciej A. Mazurowski Haoyu Dong Han Gu Jichen Yang Nicholas Konz Yixin Zhang MedIm VLM 74 479 0 20 Apr 2023
When SAM Meets Medical Images: An Investigation of Segment Anything Model (SAM) on Multi-phase Liver Tumor Segmentation Chuanfei Hu Tianyi Xia Shenghong Ju Xinde Li MedIm VLM 33 74 0 17 Apr 2023
Segment Everything Everywhere All at Once Xueyan Zou Jianwei Yang Hao Zhang Feng Li Linjie Li Jianfeng Wang Lijuan Wang Jianfeng Gao Yong Jae Lee MLLM VLM 53 469 0 13 Apr 2023
Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging Ruining Deng C. Cui Quan Liu Tianyuan Yao Lucas W. Remedios ... Shilin Zhao Agnes B. Fogo Haichun Yang Yucheng Tang Yuankai Huo VLM MedIm 33 205 0 09 Apr 2023
UniSeg: A Prompt-driven Universal Segmentation Model as well as A Strong Representation Learner Yiwen Ye Yutong Xie Jianpeng Zhang Ziyang Chen Yong-quan Xia SSL 54 42 0 07 Apr 2023
Segment Anything A. Kirillov Eric Mintun Nikhila Ravi Hanzi Mao Chloe Rolland ... Spencer Whitehead Alexander C. Berg Wan-Yen Lo Piotr Dollár Ross B. Girshick MLLM VLM 261 7,047 0 05 Apr 2023
WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation Jongheon Jeong Yang Zou Taewan Kim Dongqing Zhang Avinash Ravichandran Onkar Dabeer VLM 96 192 0 26 Mar 2023
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection Jie Liu Yixiao Zhang Jieneng Chen Junfei Xiao Yongyi Lu Bennett A. Landman Yixuan Yuan Alan Yuille Yucheng Tang Zongwei Zhou VLM MedIm 69 205 0 02 Jan 2023
CREPE: Can Vision-Language Foundation Models Reason Compositionally? Zixian Ma Jerry Hong Mustafa Omer Gul Mona Gandhi Irena Gao Ranjay Krishna CoGe 67 132 0 13 Dec 2022
UNETR++: Delving into Efficient and Accurate 3D Medical Image Segmentation Abdelrahman M. Shaker Muhammad Maaz H. Rasheed Salman Khan Ming-Hsuan Yang Fahad Shahbaz Khan MedIm 73 139 0 08 Dec 2022
ZegCLIP: Towards Adapting CLIP for Zero-shot Semantic Segmentation Ziqi Zhou Bowen Zhang Yinjie Lei Lingqiao Liu Yifan Liu VLM 50 171 0 07 Dec 2022
MONAI: An open-source framework for deep learning in healthcare M. Jorge Cardoso Wenqi Li Richard Brown Nic Ma E. Kerfoot ... Klaus H. Maier-Hein S. Aylward Prerna Dogra Sebastien Ourselin Andrew Feng 90 495 0 04 Nov 2022
LAION-5B: An open large-scale dataset for training next generation image-text models Christoph Schuhmann Romain Beaumont Richard Vencu Cade Gordon Ross Wightman ... Srivatsa Kundurthy Katherine Crowson Ludwig Schmidt R. Kaczmarczyk J. Jitsev VLM MLLM CLIP 125 3,355 0 16 Oct 2022
3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation Ho Hin Lee Shunxing Bao Yuankai Huo Bennett A. Landman OOD MedIm 82 135 0 29 Sep 2022
TotalSegmentator: robust segmentation of 104 anatomical structures in CT images Jakob Wasserthal H. Breit Manfred T. Meyer M. Pradella Daniel Hinck ... Daniel Boll Joshy Cyriac Shan Yang M. Bach Martin Segeroth OOD 57 708 0 11 Aug 2022
CLIP-Art: Contrastive Pre-training for Fine-Grained Art Classification Marcos V. Conde Kerem Turgutlu CLIP VLM 56 98 0 29 Apr 2022
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis Yucheng Tang Dong Yang Wenqi Li H. Roth Bennett Landman Daguang Xu V. Nath Ali Hatamizadeh ViT MedIm 88 524 0 29 Nov 2021
Florence: A New Foundation Model for Computer Vision Lu Yuan Dongdong Chen Yi-Ling Chen Noel Codella Xiyang Dai ... Zhen Xiao Jianwei Yang Michael Zeng Luowei Zhou Pengchuan Zhang VLM 106 897 0 22 Nov 2021
The Medical Segmentation Decathlon Michela Antonelli Annika Reinke Spyridon Bakas Keyvan Farahani AnnetteKopp-Schneider ... Zhanwei Xu Yefeng Zheng Amber L. Simpson Lena Maier-Hein M. Jorge Cardoso OOD 86 974 0 10 Jun 2021
Scaling Vision Transformers Xiaohua Zhai Alexander Kolesnikov N. Houlsby Lucas Beyer ViT 109 1,074 0 08 Jun 2021
UNETR: Transformers for 3D Medical Image Segmentation Ali Hatamizadeh Yucheng Tang Vishwesh Nath Dong Yang Andriy Myronenko Bennett Landman H. Roth Daguang Xu ViT MedIm 145 1,567 0 18 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 681 28,659 0 26 Feb 2021
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers Sixiao Zheng Jiachen Lu Hengshuang Zhao Xiatian Zhu Zekun Luo ... Yanwei Fu Jianfeng Feng Tao Xiang Philip Torr Li Zhang ViT 127 2,872 0 31 Dec 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 400 40,217 0 22 Oct 2020
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge N. Heller Fabian Isensee Klaus H. Maier-Hein X. Hou Chunmei Xie ... S. Peterson A. Kalapara N. Sathianathen Nikolaos Papanikolopoulos C. Weight 49 483 0 02 Dec 2019
The Liver Tumor Segmentation Benchmark (LiTS) Patrick Bilic P. Christ Hongwei Bran Li Eugene Vorontsov Avi Ben-Cohen ... L. Soler Bram van Ginneken H. Greenspan Leo Joskowicz Bjoern Menze 79 1,009 0 13 Jan 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 961 93,936 0 11 Oct 2018
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 453 129,831 0 12 Jun 2017
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation Özgün Çiçek Ahmed Abdulkadir S. Lienkamp Thomas Brox Olaf Ronneberger 3DV 3DPC SSeg 3DH 133 6,483 0 21 Jun 2016
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation Fausto Milletari Nassir Navab Seyed-Ahmad Ahmadi 197 8,615 0 15 Jun 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.2K 76,547 0 18 May 2015