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Masked LoGoNet: Fast and Accurate 3D Image Analysis for Medical Domain
v1v2v3 (latest)

Masked LoGoNet: Fast and Accurate 3D Image Analysis for Medical Domain

9 February 2024
Amin Karimi Monsefi
Payam Karisani
Mengxi Zhou
Stacey S. Choi
Nathan Doble
Heng Ji
Srinivasan Parthasarathy
R. Ramnath
ArXiv (abs)PDFHTML

Papers citing "Masked LoGoNet: Fast and Accurate 3D Image Analysis for Medical Domain"

41 / 41 papers shown
KnobGen: Controlling the Sophistication of Artwork in Sketch-Based Diffusion Models
KnobGen: Controlling the Sophistication of Artwork in Sketch-Based Diffusion Models
Pouyan Navard
Amin Karimi Monsefi
Mengxi Zhou
Wei-Lun Chao
Alper Yilmaz
R. Ramnath
DiffM
358
4
0
02 Oct 2024
Frequency-Guided Masking for Enhanced Vision Self-Supervised Learning
Frequency-Guided Masking for Enhanced Vision Self-Supervised LearningInternational Conference on Learning Representations (ICLR), 2024
Amin Karimi Monsefi
Mengxi Zhou
Nastaran Karimi Monsefi
Ser-Nam Lim
Wei-Lun Chao
R. Ramnath
339
4
0
16 Sep 2024
DetailCLIP: Detail-Oriented CLIP for Fine-Grained Tasks
DetailCLIP: Detail-Oriented CLIP for Fine-Grained Tasks
Amin Karimi Monsefi
Kishore Prakash Sailaja
Ali Alilooee
Ser-Nam Lim
R. Ramnath
VLM
379
16
0
10 Sep 2024
SegFormer3D: an Efficient Transformer for 3D Medical Image Segmentation
SegFormer3D: an Efficient Transformer for 3D Medical Image Segmentation
Shehan Perera
Pouyan Navard
Alper Yilmaz
MedIm
253
66
0
15 Apr 2024
CrashFormer: A Multimodal Architecture to Predict the Risk of Crash
CrashFormer: A Multimodal Architecture to Predict the Risk of Crash
Amin Karimi Monsefi
Pouya Shiri
Ahmad Mohammadshirazi
Nastaran Karimi Monsefi
Ron Davies
Sobhan Moosavi
R. Ramnath
HAI
159
14
0
07 Feb 2024
Foundational Models in Medical Imaging: A Comprehensive Survey and
  Future Vision
Foundational Models in Medical Imaging: A Comprehensive Survey and Future Vision
Bobby Azad
Reza Azad
Sania Eskandari
Afshin Bozorgpour
Amirhossein Kazerouni
I. Rekik
Dorit Merhof
VLMMedIm
279
105
0
28 Oct 2023
Q-RBSA: High-Resolution 3D EBSD Map Generation Using An Efficient
  Quaternion Transformer Network
Q-RBSA: High-Resolution 3D EBSD Map Generation Using An Efficient Quaternion Transformer Networknpj Computational Materials (npj Comput Mater), 2023
Devendra K. Jangid
Neal R. Brodnik
M. Echlin
Tresa M. Pollock
Samantha Daly
B. S. Manjunath
149
17
0
19 Mar 2023
DiRA: Discriminative, Restorative, and Adversarial Learning for
  Self-supervised Medical Image Analysis
DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image AnalysisComputer Vision and Pattern Recognition (CVPR), 2022
F. Haghighi
M. Taher
Michael B. Gotway
Jianming Liang
MedIm
276
81
0
21 Apr 2022
Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors
  in MRI Images
Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images
Ali Hatamizadeh
V. Nath
Yucheng Tang
Dong Yang
H. Roth
Daguang Xu
ViTMedIm
455
1,745
0
04 Jan 2022
SimMIM: A Simple Framework for Masked Image Modeling
SimMIM: A Simple Framework for Masked Image Modeling
Zhenda Xie
Zheng Zhang
Yue Cao
Yutong Lin
Jianmin Bao
Zhuliang Yao
Jingdong Sun
Han Hu
437
1,644
0
18 Nov 2021
iBOT: Image BERT Pre-Training with Online Tokenizer
iBOT: Image BERT Pre-Training with Online Tokenizer
Jinghao Zhou
Chen Wei
Huiyu Wang
Wei Shen
Cihang Xie
Alan Yuille
Tao Kong
484
939
0
15 Nov 2021
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision LearnersComputer Vision and Pattern Recognition (CVPR), 2021
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViTTPM
2.5K
10,166
0
11 Nov 2021
Global-Local Transformer for Brain Age Estimation
Global-Local Transformer for Brain Age Estimation
Sheng He
P. E. Grant
Yangming Ou
ViTMedIm
181
137
0
03 Sep 2021
A Spatial Guided Self-supervised Clustering Network for Medical Image
  Segmentation
A Spatial Guided Self-supervised Clustering Network for Medical Image SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021
Euijoon Ahn
Dagan Feng
Jinman Kim
190
29
0
11 Jul 2021
Deformed2Self: Self-Supervised Denoising for Dynamic Medical Imaging
Deformed2Self: Self-Supervised Denoising for Dynamic Medical Imaging
Junshen Xu
E. Adalsteinsson
MedIm
103
37
0
23 Jun 2021
HuBERT: Self-Supervised Speech Representation Learning by Masked
  Prediction of Hidden Units
HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden UnitsIEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2021
Wei-Ning Hsu
Benjamin Bolte
Yifan Hao
Kushal Lakhotia
Ruslan Salakhutdinov
Abdel-rahman Mohamed
SSL
555
4,061
0
14 Jun 2021
MST: Masked Self-Supervised Transformer for Visual Representation
MST: Masked Self-Supervised Transformer for Visual RepresentationNeural Information Processing Systems (NeurIPS), 2021
Zhaowen Li
Zhiyang Chen
Fan Yang
Wei Li
Yousong Zhu
...
Rui Deng
Liwei Wu
Rui Zhao
Ming Tang
Jinqiao Wang
ViT
239
178
0
10 Jun 2021
DiNTS: Differentiable Neural Network Topology Search for 3D Medical
  Image Segmentation
DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image SegmentationComputer Vision and Pattern Recognition (CVPR), 2021
Yufan He
Dong Yang
H. Roth
Can Zhao
Daguang Xu
MedIm
180
82
0
29 Mar 2021
Multi-Scale Vision Longformer: A New Vision Transformer for
  High-Resolution Image Encoding
Multi-Scale Vision Longformer: A New Vision Transformer for High-Resolution Image EncodingIEEE International Conference on Computer Vision (ICCV), 2021
Pengchuan Zhang
Xiyang Dai
Jianwei Yang
Bin Xiao
Lu Yuan
Lei Zhang
Jianfeng Gao
ViT
306
375
0
29 Mar 2021
SpecTr: Spectral Transformer for Hyperspectral Pathology Image
  Segmentation
SpecTr: Spectral Transformer for Hyperspectral Pathology Image Segmentation
Boxiang Yun
Yan Wang
Jieneng Chen
Huiyu Wang
Wei Shen
Qingli Li
ViTMedIm
187
55
0
05 Mar 2021
Transformer in Transformer
Transformer in TransformerNeural Information Processing Systems (NeurIPS), 2021
Kai Han
An Xiao
Enhua Wu
Jianyuan Guo
Chunjing Xu
Yunhe Wang
ViT
1.1K
2,015
0
27 Feb 2021
Medical Transformer: Gated Axial-Attention for Medical Image
  Segmentation
Medical Transformer: Gated Axial-Attention for Medical Image SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021
Jeya Maria Jose Valanarasu
Poojan Oza
Ilker Hacihaliloglu
Vishal M. Patel
ViTMedIm
376
1,258
0
21 Feb 2021
Big Self-Supervised Models Advance Medical Image Classification
Big Self-Supervised Models Advance Medical Image ClassificationIEEE International Conference on Computer Vision (ICCV), 2021
Shekoofeh Azizi
Basil Mustafa
Fiona Ryan
Zach Beaver
Jan Freyberg
...
Alan Karthikesalingam
Simon Kornblith
Ting-Li Chen
Vivek Natarajan
Mohammad Norouzi
SSL
378
632
0
13 Jan 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
925
3,202
0
04 Jan 2021
MA-Unet: An improved version of Unet based on multi-scale and attention
  mechanism for medical image segmentation
MA-Unet: An improved version of Unet based on multi-scale and attention mechanism for medical image segmentation
Yutong Cai
Yong Wang
SSeg
158
83
0
20 Dec 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
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
1.4K
55,775
0
22 Oct 2020
Medical Image Segmentation Using Deep Learning: A Survey
Medical Image Segmentation Using Deep Learning: A SurveyIET Image Processing (IIP), 2020
Risheng Wang
Tao Lei
Xiaogang Du
Yong Wan
Hongying Meng
Asoke K. Nandi
SSegOOD
458
740
0
28 Sep 2020
Revisiting Rubik's Cube: Self-supervised Learning with Volume-wise
  Transformation for 3D Medical Image Segmentation
Revisiting Rubik's Cube: Self-supervised Learning with Volume-wise Transformation for 3D Medical Image SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020
Xing Tao
Yuexiang Li
Wenhui Zhou
Kai Ma
Yefeng Zheng
190
75
0
17 Jul 2020
Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs By
  Comparing Image Representations
Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs By Comparing Image RepresentationsInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020
Hong-Yu Zhou
Shuang Yu
Cheng Bian
Yifan Hu
Kai Ma
Yefeng Zheng
SSLMedIm
225
121
0
15 Jul 2020
3D Self-Supervised Methods for Medical Imaging
3D Self-Supervised Methods for Medical Imaging
Aiham Taleb
W. Loetzsch
Noel Danz
Julius Severin
Thomas Gaertner
Benjamin Bergner
Christoph Lippert
SSL
411
242
0
06 Jun 2020
3D Deep Learning on Medical Images: A Review
3D Deep Learning on Medical Images: A ReviewItalian National Conference on Sensors (INS), 2020
S. Singh
Lipo Wang
Sukrit Gupta
Haveesh Goli
P. Padmanabhan
Balázs Gulyás
MedIm
549
465
0
01 Apr 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual RepresentationsInternational Conference on Machine Learning (ICML), 2020
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
1.3K
22,444
0
13 Feb 2020
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in
  Image Segmentation
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image SegmentationIEEE Transactions on Medical Imaging (TMI), 2019
Zongwei Zhou
M. R. Siddiquee
Nima Tajbakhsh
Jianming Liang
SSeg
424
3,315
0
11 Dec 2019
FastSurfer -- A fast and accurate deep learning based neuroimaging
  pipeline
FastSurfer -- A fast and accurate deep learning based neuroimaging pipelineNeuroImage (NeuroImage), 2019
Leonie Henschel
Sailesh Conjeti
Santiago Estrada
K. Diers
Bruce Fischl
M. Reuter
MedIm
375
514
0
09 Oct 2019
Multi-scale self-guided attention for medical image segmentation
Multi-scale self-guided attention for medical image segmentationIEEE journal of biomedical and health informatics (IEEE JBHI), 2019
Ashish Sinha
Jose Dolz
SSeg
341
483
0
07 Jun 2019
A large annotated medical image dataset for the development and
  evaluation of segmentation algorithms
A large annotated medical image dataset for the development and evaluation of segmentation algorithms
Amber L. Simpson
Michela Antonelli
Spyridon Bakas
Michel Bilello
Keyvan Farahani
...
M. McHugo
S. Napel
Eugene Vorontsov
Lena Maier-Hein
M. Jorge Cardoso
310
956
0
25 Feb 2019
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View
  Co-Training
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training
Yingda Xia
Fengze Liu
Ke Wang
Jinzheng Cai
Lequan Yu
Zhuotun Zhu
Daguang Xu
Alan Yuille
H. Roth
397
146
0
29 Nov 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
3.0K
108,708
0
11 Oct 2018
nnU-Net: Self-adapting Framework for U-Net-Based Medical Image
  Segmentation
nnU-Net: Self-adapting Framework for U-Net-Based Medical Image SegmentationBildverarbeitung für die Medizin (BVM), 2018
Hyunjin Park
Jens Petersen
André Klein
David Zimmerer
Paul F. Jaeger
...
Jakob Wasserthal
Gregor Koehler
T. Norajitra
Sebastian J. Wirkert
Klaus H. Maier-Hein
SSeg
383
974
0
27 Sep 2018
Attention U-Net: Learning Where to Look for the Pancreas
Attention U-Net: Learning Where to Look for the Pancreas
Ozan Oktay
Jo Schlemper
Loic Le Folgoc
M. J. Lee
M. Heinrich
...
Jingyu Sun
Nils Y. Hammerla
Bernhard Kainz
Ben Glocker
Daniel Rueckert
SSeg
746
6,475
0
11 Apr 2018
Distilling the Knowledge in a Neural Network
Distilling the Knowledge in a Neural Network
Geoffrey E. Hinton
Oriol Vinyals
J. Dean
FedML
801
22,567
0
09 Mar 2015
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