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EmbryosFormer: Deformable Transformer and Collaborative
  Encoding-Decoding for Embryos Stage Development Classification

EmbryosFormer: Deformable Transformer and Collaborative Encoding-Decoding for Embryos Stage Development Classification

7 October 2022
Tien-Phat Nguyen
Trong-Thang Pham
Tri Minh Nguyen
Hung Le
Dung Nguyen
Hau Lam
Phong H. Nguyen
Jennifer Fowler
Minh-Triet Tran
Ngan Le
    ViT
ArXiv (abs)PDFHTMLGithub (23★)

Papers citing "EmbryosFormer: Deformable Transformer and Collaborative Encoding-Decoding for Embryos Stage Development Classification"

33 / 33 papers shown
Title
S3Former: Self-supervised High-resolution Transformer for Solar PV Profiling
S3Former: Self-supervised High-resolution Transformer for Solar PV Profiling
Minh-Triet Tran
Adrian de Luis
Haitao Liao
Ying Huang
Roy McCann
Alan Mantooth
Jack Cothren
Ngan Le
218
0
0
07 May 2024
3D-UCaps: 3D Capsules Unet for Volumetric Image Segmentation
3D-UCaps: 3D Capsules Unet for Volumetric Image Segmentation
Tan H. Nguyen
Binh-Son Hua
Ngan Le
3DPCMedIm
95
32
0
16 Mar 2022
Point-Unet: A Context-aware Point-based Neural Network for Volumetric
  Segmentation
Point-Unet: A Context-aware Point-based Neural Network for Volumetric Segmentation
Ngoc-Vuong Ho
Tan H. Nguyen
Gia-Han Diep
Ngan Le
Binh-Son Hua
3DPC
80
23
0
16 Mar 2022
SS-3DCapsNet: Self-supervised 3D Capsule Networks for Medical
  Segmentation on Less Labeled Data
SS-3DCapsNet: Self-supervised 3D Capsule Networks for Medical Segmentation on Less Labeled Data
Minh-Khoi Tran
Loi Ly
Binh-Son Hua
Ngan Le
3DPCMedIm
57
17
0
15 Jan 2022
DAM-AL: Dilated Attention Mechanism with Attention Loss for 3D Infant
  Brain Image Segmentation
DAM-AL: Dilated Attention Mechanism with Attention Loss for 3D Infant Brain Image Segmentation
Dinh-Hieu Hoang
Gia-Han Diep
Minh-Triet Tran
Ngan T. H Le
51
8
0
27 Dec 2021
AEI: Actors-Environment Interaction with Adaptive Attention for Temporal
  Action Proposals Generation
AEI: Actors-Environment Interaction with Adaptive Attention for Temporal Action Proposals Generation
Khoa T. Vo
Kevin Hyekang Joo
Kashu Yamazaki
Sang Truong
Kris Kitani
Minh-Triet Tran
Ngan Le
EgoV
103
18
0
21 Oct 2021
End-to-End Dense Video Captioning with Parallel Decoding
End-to-End Dense Video Captioning with Parallel Decoding
Teng Wang
Ruimao Zhang
Zhichao Lu
Feng Zheng
Ran Cheng
Ping Luo
3DV
82
184
0
17 Aug 2021
Contextual Transformer Networks for Visual Recognition
Contextual Transformer Networks for Visual Recognition
Yehao Li
Ting Yao
Yingwei Pan
Tao Mei
ViT
88
485
0
26 Jul 2021
Developmental Stage Classification of Embryos Using Two-Stream Neural
  Network with Linear-Chain Conditional Random Field
Developmental Stage Classification of Embryos Using Two-Stream Neural Network with Linear-Chain Conditional Random Field
Stanislav Lukyanenko
Won-Dong Jang
D. Wei
R. Struyven
Yoon Kim
...
Helen Y Yang
Alexander M. Rush
D. Ben-Yosef
D. Needleman
Hanspeter Pfister
36
8
0
13 Jul 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
694
6,121
0
29 Apr 2021
Differentiable Patch Selection for Image Recognition
Differentiable Patch Selection for Image Recognition
Jean-Baptiste Cordonnier
Aravindh Mahendran
Alexey Dosovitskiy
Dirk Weissenborn
Jakob Uszkoreit
Thomas Unterthiner
73
95
0
07 Apr 2021
Deep reinforcement learning in medical imaging: A literature review
Deep reinforcement learning in medical imaging: A literature review
S. Kevin Zhou
Hoang Ngan Le
Khoa Luu
Hien V Nguyen
N. Ayache
LM&MAOffRLMedIm
57
148
0
05 Mar 2021
Training data-efficient image transformers & distillation through
  attention
Training data-efficient image transformers & distillation through attention
Hugo Touvron
Matthieu Cord
Matthijs Douze
Francisco Massa
Alexandre Sablayrolles
Hervé Jégou
ViT
389
6,793
0
23 Dec 2020
Offset Curves Loss for Imbalanced Problem in Medical Segmentation
Offset Curves Loss for Imbalanced Problem in Medical Segmentation
Ngan Le
T. Hoang Ngan Le
Kashu Yamazaki
T. Bui
Khoa Luu
Marios Savvides
44
11
0
04 Dec 2020
A Multi-task Contextual Atrous Residual Network for Brain Tumor
  Detection & Segmentation
A Multi-task Contextual Atrous Residual Network for Brain Tumor Detection & Segmentation
Ngan Le
Kashu Yamazaki
Dat T. Truong
Kha Gia Quach
Marios Savvides
MedIm
47
20
0
03 Dec 2020
Pre-Trained Image Processing Transformer
Pre-Trained Image Processing Transformer
Hanting Chen
Yunhe Wang
Tianyu Guo
Chang Xu
Yiping Deng
Zhenhua Liu
Siwei Ma
Chunjing Xu
Chao Xu
Wen Gao
VLMViT
143
1,677
0
01 Dec 2020
Deformable DETR: Deformable Transformers for End-to-End Object Detection
Deformable DETR: Deformable Transformers for End-to-End Object Detection
Xizhou Zhu
Weijie Su
Lewei Lu
Bin Li
Xiaogang Wang
Jifeng Dai
ViT
234
5,091
0
08 Oct 2020
Learning Texture Transformer Network for Image Super-Resolution
Learning Texture Transformer Network for Image Super-Resolution
Fuzhi Yang
Huan Yang
Jianlong Fu
Hongtao Lu
B. Guo
SupRViT
74
725
0
07 Jun 2020
Automated Measurements of Key Morphological Features of Human Embryos
  for IVF
Automated Measurements of Key Morphological Features of Human Embryos for IVF
B. Leahy
Won-Dong Jang
H. Yang
R. Struyven
D. Wei
...
Y. Kalma
F. Azem
D. Ben-Yosef
Hanspeter Pfister
D. Needleman
3DH
41
27
0
29 May 2020
End-to-End Object Detection with Transformers
End-to-End Object Detection with Transformers
Nicolas Carion
Francisco Massa
Gabriel Synnaeve
Nicolas Usunier
Alexander Kirillov
Sergey Zagoruyko
ViT3DVPINN
421
13,048
0
26 May 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
375
18,778
0
13 Feb 2020
Learning to recognize Abnormalities in Chest X-Rays with Location-Aware
  Dense Networks
Learning to recognize Abnormalities in Chest X-Rays with Location-Aware Dense Networks
Sebastian Gündel
Sasa Grbic
Bogdan Georgescu
S. Kevin Zhou
L. Ritschl
A. Meier
Dorin Comaniciu
52
195
0
12 Mar 2018
Deep Learning for Medical Image Analysis
Deep Learning for Medical Image Analysis
Mina Rezaei
Haojin Yang
Christoph Meinel
77
2,068
0
17 Aug 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
725
132,199
0
12 Jun 2017
Mask R-CNN
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
352
27,230
0
20 Mar 2017
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
522
10,345
0
16 Nov 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,322
0
10 Dec 2015
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DVBDL
883
27,412
0
02 Dec 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMatObjD
520
62,360
0
04 Jun 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.9K
150,260
0
22 Dec 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
480
43,685
0
17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,479
0
04 Sep 2014
An Introduction to Conditional Random Fields
An Introduction to Conditional Random Fields
Charles Sutton
Andrew McCallum
AI4CEBDLCMLTPM
136
1,213
0
17 Nov 2010
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