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Attention-Based Transformers for Instance Segmentation of Cells in
  Microstructures
v1v2 (latest)

Attention-Based Transformers for Instance Segmentation of Cells in Microstructures

IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2020
19 November 2020
Tim Prangemeier
Christoph Reich
Heinz Koeppl
    MedImViT
ArXiv (abs)PDFHTML

Papers citing "Attention-Based Transformers for Instance Segmentation of Cells in Microstructures"

32 / 32 papers shown
In-Context Adaptation of VLMs for Few-Shot Cell Detection in Optical Microscopy
In-Context Adaptation of VLMs for Few-Shot Cell Detection in Optical Microscopy
Shreyan Ganguly
Angona Biswas
Jaydeep Rade
Md Hasibul Hasan Hasib
Nabila Masud
...
Ushashi Bhattacharjee
Aditya Balu
A. Sarkar
A. Krishnamurthy
Soumik Sarkar
ObjDVLM
284
0
0
04 Nov 2025
IAUNet: Instance-Aware U-Net
IAUNet: Instance-Aware U-Net
Yaroslav Prytula
Illia Tsiporenko
Ali Zeynalli
Dmytro Fishman
SSeg
332
0
0
03 Aug 2025
The Four Color Theorem for Cell Instance Segmentation
The Four Color Theorem for Cell Instance Segmentation
Ye Zhang
Yu Zhou
Yifeng Wang
Jun Xiao
Ziyue Wang
Yongbing Zhang
Jianxu Chen
ISeg
337
4
0
11 Jun 2025
Cell Nuclei Detection and Classification in Whole Slide Images with Transformers
Cell Nuclei Detection and Classification in Whole Slide Images with Transformers
Oscar Pina
Eduard Dorca
Verónica Vilaplana
268
1
0
10 Feb 2025
A Survey on Cell Nuclei Instance Segmentation and Classification:
  Leveraging Context and Attention
A Survey on Cell Nuclei Instance Segmentation and Classification: Leveraging Context and Attention
João D. Nunes
D. Montezuma
Domingos Oliveira
Tania Pereira
Jaime S. Cardoso
335
0
0
26 Jul 2024
Understanding differences in applying DETR to natural and medical images
Understanding differences in applying DETR to natural and medical images
Yanqi Xu
Yiqiu Shen
C. Fernandez‐Granda
Laura Heacock
Krzysztof J. Geras
MedIm
352
8
0
27 May 2024
FeatUp: A Model-Agnostic Framework for Features at Any Resolution
FeatUp: A Model-Agnostic Framework for Features at Any Resolution
Stephanie Fu
Mark Hamilton
Laura E. Brandt
Axel Feldmann
Zhoutong Zhang
William T. Freeman
MDE
407
112
0
15 Mar 2024
Multi-stream Cell Segmentation with Low-level Cues for Multi-modality
  Images
Multi-stream Cell Segmentation with Low-level Cues for Multi-modality Images
Wei Lou
Xinyi Yu
Chenyu Liu
Xiang Wan
Guanbin Li
Siqi Liu
Haofeng Li
331
15
0
22 Oct 2023
The TYC Dataset for Understanding Instance-Level Semantics and Motions
  of Cells in Microstructures
The TYC Dataset for Understanding Instance-Level Semantics and Motions of Cells in Microstructures
Christoph Reich
Tim Prangemeier
Heinz Koeppl
176
1
0
23 Aug 2023
An Instance Segmentation Dataset of Yeast Cells in Microstructures
An Instance Segmentation Dataset of Yeast Cells in MicrostructuresAnnual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2023
Christoph Reich
Tim Prangemeier
André O. Franccani
Heinz Koeppl
447
5
0
15 Apr 2023
Towards Accurate Post-Training Quantization for Vision Transformer
Towards Accurate Post-Training Quantization for Vision TransformerACM Multimedia (ACM MM), 2022
Yifu Ding
Haotong Qin
Qing-Yu Yan
Z. Chai
Junjie Liu
Xiaolin K. Wei
Xianglong Liu
MQ
392
106
0
25 Mar 2023
MultiNet with Transformers: A Model for Cancer Diagnosis Using Images
MultiNet with Transformers: A Model for Cancer Diagnosis Using Images
H. Barzekar
Yash J. Patel
L. Tong
Zeyun Yu
MedIm
218
8
0
21 Jan 2023
Advances in Medical Image Analysis with Vision Transformers: A
  Comprehensive Review
Advances in Medical Image Analysis with Vision Transformers: A Comprehensive Review
Reza Azad
Amirhossein Kazerouni
Moein Heidari
Ehsan Khodapanah Aghdam
Amir Molaei
Yiwei Jia
Abin Jose
Rijo Roy
Dorit Merhof
MedImViT
455
357
0
09 Jan 2023
Histopathological Image Classification based on Self-Supervised Vision
  Transformer and Weak Labels
Histopathological Image Classification based on Self-Supervised Vision Transformer and Weak Labels
A. Gul
Ozdemir Cetin
Christoph Reich
Tim Prangemeier
Nadine Flinner
Heinz Koeppl
ViTMedIm
159
14
0
17 Oct 2022
Transformers with Learnable Activation Functions
Transformers with Learnable Activation FunctionsFindings (Findings), 2022
Haishuo Fang
Ji-Ung Lee
N. Moosavi
Iryna Gurevych
AI4CE
323
16
0
30 Aug 2022
Focused Decoding Enables 3D Anatomical Detection by Transformers
Focused Decoding Enables 3D Anatomical Detection by TransformersMachine Learning for Biomedical Imaging (MLBI), 2022
Bastian Wittmann
Fernando Navarro
Antonio Terpin
Bjoern Menze
ViTMedIm
341
10
0
21 Jul 2022
XBound-Former: Toward Cross-scale Boundary Modeling in Transformers
XBound-Former: Toward Cross-scale Boundary Modeling in TransformersIEEE Transactions on Medical Imaging (IEEE TMI), 2022
Jiacheng Wang
Fei Chen
Yuxi Ma
Liansheng Wang
Zhaodong Fei
Jia Shuai
Xiangdong Tang
Qichao Zhou
Jing Qin
ViTMedIm
281
100
0
02 Jun 2022
CellCentroidFormer: Combining Self-attention and Convolution for Cell
  Detection
CellCentroidFormer: Combining Self-attention and Convolution for Cell DetectionAnnual Conference on Medical Image Understanding and Analysis (MIUA), 2022
Royden Wagner
K. Rohr
ViTMedIm
242
5
0
01 Jun 2022
An Empirical Study Of Self-supervised Learning Approaches For Object
  Detection With Transformers
An Empirical Study Of Self-supervised Learning Approaches For Object Detection With Transformers
Gokul Karthik Kumar
Sahal Shaji Mullappilly
Abhishek Singh Gehlot
ViT
138
1
0
11 May 2022
A survey on attention mechanisms for medical applications: are we moving
  towards better algorithms?
A survey on attention mechanisms for medical applications: are we moving towards better algorithms?IEEE Access (IEEE Access), 2022
Tiago Gonçalves
Isabel Rio-Torto
Luís F. Teixeira
J. S. Cardoso
OODMedIm
266
58
0
26 Apr 2022
EfficientCellSeg: Efficient Volumetric Cell Segmentation Using Context
  Aware Pseudocoloring
EfficientCellSeg: Efficient Volumetric Cell Segmentation Using Context Aware PseudocoloringInternational Conference on Medical Imaging with Deep Learning (MIDL), 2022
Royden Wagner
K. Rohr
MedIm
222
4
0
06 Apr 2022
Transformers in Medical Image Analysis: A Review
Transformers in Medical Image Analysis: A ReviewIntelligent Medicine (IM), 2022
Kelei He
Chen Gan
Zhuoyuan Li
I. Rekik
Zihao Yin
Wen Ji
Yang Gao
Qian Wang
Junfeng Zhang
Dinggang Shen
ViTMedIm
416
378
0
24 Feb 2022
Transformers in Medical Imaging: A Survey
Transformers in Medical Imaging: A Survey
Fahad Shamshad
Salman Khan
Syed Waqas Zamir
Muhammad Haris Khan
Munawar Hayat
Fahad Shahbaz Khan
Huazhu Fu
ViTLM&MAMedIm
421
1,060
0
24 Jan 2022
MSHT: Multi-stage Hybrid Transformer for the ROSE Image Analysis of
  Pancreatic Cancer
MSHT: Multi-stage Hybrid Transformer for the ROSE Image Analysis of Pancreatic CancerIEEE journal of biomedical and health informatics (JBHI), 2021
Tianyi Zhang
Yunlu Feng
Yu Zhao
Guangda Fan
Aiming Yang
...
Fan Song
Chenbin Ma
Yangyang Sun
Youdan Feng
Guanglei Zhang
ViTMedIm
224
23
0
27 Dec 2021
A Survey of Visual Transformers
A Survey of Visual TransformersIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Yang Liu
Yao Zhang
Yixin Wang
Feng Hou
Jin Yuan
Jiang Tian
Yang Zhang
Peng Wang
Jianping Fan
Zhiqiang He
3DGSViT
538
506
0
11 Nov 2021
Boundary-aware Transformers for Skin Lesion Segmentation
Boundary-aware Transformers for Skin Lesion SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021
Jiacheng Wang
Lan Wei
Liansheng Wang
Qichao Zhou
Lei Zhu
Jing Qin
ViTMedIm
200
181
0
08 Oct 2021
Video Crowd Localization with Multi-focus Gaussian Neighborhood
  Attention and a Large-Scale Benchmark
Video Crowd Localization with Multi-focus Gaussian Neighborhood Attention and a Large-Scale BenchmarkIEEE Transactions on Image Processing (TIP), 2021
Haopeng Li
Lingbo Liu
Kunlin Yang
Shinan Liu
Junyuan Gao
Bin Zhao
Rui Zhang
Jun Hou
485
21
0
19 Jul 2021
Multi-StyleGAN: Towards Image-Based Simulation of Time-Lapse Live-Cell
  Microscopy
Multi-StyleGAN: Towards Image-Based Simulation of Time-Lapse Live-Cell Microscopy
Christoph Reich
Tim Prangemeier
C. Wildner
Heinz Koeppl
AI4CE
237
9
0
15 Jun 2021
Medical Image Segmentation Using Squeeze-and-Expansion Transformers
Medical Image Segmentation Using Squeeze-and-Expansion TransformersInternational Joint Conference on Artificial Intelligence (IJCAI), 2021
Shaohua Li
Xiuchao Sui
Xiangde Luo
Xinxing Xu
Yong Liu
Rick Siow Mong Goh
ViTMedIm
223
195
0
20 May 2021
Unknown Object Segmentation from Stereo Images
Unknown Object Segmentation from Stereo ImagesIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021
M. Durner
W. Boerdijk
M. Sundermeyer
W. Friedl
Zoltán-Csaba Márton
Rudolph Triebel
232
39
0
11 Mar 2021
Transformers in Vision: A Survey
Transformers in Vision: A SurveyACM Computing Surveys (CSUR), 2021
Salman Khan
Muzammal Naseer
Munawar Hayat
Syed Waqas Zamir
Fahad Shahbaz Khan
M. Shah
ViT
1.1K
3,385
0
04 Jan 2021
A Survey on Visual Transformer
A Survey on Visual TransformerIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Kai Han
Yunhe Wang
Hanting Chen
Xinghao Chen
Jianyuan Guo
...
Chunjing Xu
Yixing Xu
Zhaohui Yang
Yiman Zhang
Dacheng Tao
ViT
1.3K
3,367
0
23 Dec 2020
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