v1v2 (latest)

TAGS: 3D Tumor-Adaptive Guidance for SAM

21 May 2025

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

44 / 44 papers shown

Text-guided Foundation Model Adaptation for Long-Tailed Medical Image ClassificationIEEE International Symposium on Biomedical Imaging (ISBI), 2024

Xiaoying Tang

240

27 Aug 2024

Is SAM 2 Better than SAM in Medical Image Segmentation?

356

08 Aug 2024

SAM 2: Segment Anything in Images and VideosInternational Conference on Learning Representations (ICLR), 2024

...

Piotr Dollár

Christoph Feichtenhofer

VLM MLLM

513

2,269

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

244

27 Jul 2024

Large-Scale Multi-Center CT and MRI Segmentation of Pancreas with Deep Learning

Gorkem Durak

...

274

20 May 2024

MedCLIP-SAM: Bridging Text and Image Towards Universal Medical Image Segmentation

Taha Koleilat

Hojat Asgariandehkordi

H. Rivaz

Yiming Xiao

VLM MedIm

442

29 Mar 2024

Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images

252

19 Mar 2024

ClipSAM: CLIP and SAM Collaboration for Zero-Shot Anomaly Segmentation

Peng Ye

Tao Chen

354

23 Jan 2024

SegVol: Universal and Interactive Volumetric Medical Image SegmentationNeural Information Processing Systems (NeurIPS), 2023

Tiejun Huang

476

22 Nov 2023

Synthetic Boost: Leveraging Synthetic Data for Enhanced Vision-Language Segmentation in Echocardiography

215

22 Sep 2023

SAM3D: Segment Anything Model in Volumetric Medical ImagesIEEE International Symposium on Biomedical Imaging (ISBI), 2023

Ngan Le

445

07 Sep 2023

Exploring Transfer Learning in Medical Image Segmentation using Vision-Language ModelsInternational Conference on Medical Imaging with Deep Learning (MIDL), 2023

564

15 Aug 2023

Medical SAM Adapter: Adapting Segment Anything Model for Medical Image SegmentationMedical Image Analysis (MIA), 2023

Yanwu Xu

540

745

25 Apr 2023

Segment Anything Model for Medical Image Analysis: an Experimental Study

477

675

20 Apr 2023

When SAM Meets Medical Images: An Investigation of Segment Anything Model (SAM) on Multi-phase Liver Tumor Segmentation

445

17 Apr 2023

Segment Everything Everywhere All at OnceNeural Information Processing Systems (NeurIPS), 2023

Jianwei Yang

421

683

13 Apr 2023

Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging

Ruining Deng

...

Yuankai Huo

259

251

09 Apr 2023

UniSeg: A Prompt-driven Universal Segmentation Model as well as A Strong Representation LearnerInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023

Yiwen Ye

Ziyang Chen

203

07 Apr 2023

Segment AnythingIEEE International Conference on Computer Vision (ICCV), 2023

...

Piotr Dollár

963

11,242

05 Apr 2023

WinCLIP: Zero-/Few-Shot Anomaly Classification and SegmentationComputer Vision and Pattern Recognition (CVPR), 2023

456

353

26 Mar 2023

CLIP-Driven Universal Model for Organ Segmentation and Tumor DetectionIEEE International Conference on Computer Vision (ICCV), 2023

Bennett A. Landman

Zongwei Zhou

567

291

02 Jan 2023

CREPE: Can Vision-Language Foundation Models Reason Compositionally?Computer Vision and Pattern Recognition (CVPR), 2022

375

182

13 Dec 2022

UNETR++: Delving into Efficient and Accurate 3D Medical Image SegmentationIEEE Transactions on Medical Imaging (IEEE TMI), 2022

Abdelrahman M. Shaker

Salman Khan

280

291

08 Dec 2022

ZegCLIP: Towards Adapting CLIP for Zero-shot Semantic SegmentationComputer Vision and Pattern Recognition (CVPR), 2022

Lingqiao Liu

315

250

07 Dec 2022

MONAI: An open-source framework for deep learning in healthcare

Wenqi Li

...

Klaus H. Maier-Hein

S. Aylward

Prerna Dogra

Sebastien Ourselin

Andrew Feng

312

754

04 Nov 2022

LAION-5B: An open large-scale dataset for training next generation image-text modelsNeural Information Processing Systems (NeurIPS), 2022

...

914

4,555

16 Oct 2022

3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image SegmentationInternational Conference on Learning Representations (ICLR), 2022

Ho Hin Lee

Shunxing Bao

Yuankai Huo

Bennett A. Landman

OOD MedIm

498

210

29 Sep 2022

TotalSegmentator: robust segmentation of 104 anatomical structures in CT images

...

Shan Yang

285

1,199

11 Aug 2022

CLIP-Art: Contrastive Pre-training for Fine-Grained Art Classification

Marcos V. Conde

Kerem Turgutlu

CLIP VLM

210

117

29 Apr 2022

Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis

Wenqi Li

Bennett Landman

374

731

29 Nov 2021

Florence: A New Foundation Model for Computer Vision

Lu Yuan

...

Jianwei Yang

393

1,052

22 Nov 2021

The Medical Segmentation DecathlonNature Communications (Nat Commun), 2021

Michela Antonelli

Annika Reinke

Spyridon Bakas

Keyvan Farahani

AnnetteKopp-Schneider

...

Lena Maier-Hein

319

1,251

10 Jun 2021

Scaling Vision TransformersComputer Vision and Pattern Recognition (CVPR), 2021

474

1,311

08 Jun 2021

UNETR: Transformers for 3D Medical Image SegmentationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021

Andriy Myronenko

562

2,235

18 Mar 2021

Learning Transferable Visual Models From Natural Language SupervisionInternational Conference on Machine Learning (ICML), 2021

...

2.0K

41,575

26 Feb 2021

Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with TransformersComputer Vision and Pattern Recognition (CVPR), 2020

...

Li Zhang

540

3,415

31 Dec 2020

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Alexey Dosovitskiy

...

1.4K

55,389

22 Oct 2020

The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge

Klaus H. Maier-Hein

...

Nikolaos Papanikolopoulos

C. Weight

305

556

02 Dec 2019

The Liver Tumor Segmentation Benchmark (LiTS)

Avi Ben-Cohen

...

Bram van Ginneken

570

1,280

13 Jan 2019

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

2.9K

108,708

11 Oct 2018

Attention Is All You NeedNeural Information Processing Systems (NeurIPS), 2017

4.3K

162,388

12 Jun 2017

3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation

Thomas Brox

1.4K

7,489

21 Jun 2016

V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

Fausto Milletari

Nassir Navab

Seyed-Ahmad Ahmadi

593

10,021

15 Jun 2016

U-Net: Convolutional Networks for Biomedical Image Segmentation

Olaf Ronneberger

Philipp Fischer

Thomas Brox

SSeg 3DV

3.3K

89,836

18 May 2015