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Attention-based Deep Multiple Instance Learning

Attention-based Deep Multiple Instance Learning

13 February 2018
Maximilian Ilse
Jakub M. Tomczak
Max Welling
ArXivPDFHTML

Papers citing "Attention-based Deep Multiple Instance Learning"

50 / 760 papers shown
Title
An Attention-based Weakly Supervised framework for Spitzoid Melanocytic
  Lesion Diagnosis in WSI
An Attention-based Weakly Supervised framework for Spitzoid Melanocytic Lesion Diagnosis in WSI
Rocío del Amor
Laetitia Launet
Adrián Colomer
Anais Moscardó
Andrés Mosquera-Zamudio
C. Monteagudo
Valery Naranjo
MedIm
25
2
0
20 Apr 2021
Mapping the Internet: Modelling Entity Interactions in Complex
  Heterogeneous Networks
Mapping the Internet: Modelling Entity Interactions in Complex Heterogeneous Networks
Šimon Mandlík
Tomás Pevný
29
5
0
19 Apr 2021
SurvNAM: The machine learning survival model explanation
SurvNAM: The machine learning survival model explanation
Lev V. Utkin
Egor D. Satyukov
A. Konstantinov
AAML
FAtt
44
28
0
18 Apr 2021
MRI-based Alzheimer's disease prediction via distilling the knowledge in
  multi-modal data
MRI-based Alzheimer's disease prediction via distilling the knowledge in multi-modal data
Hao Guan
Chaoyue Wang
Dacheng Tao
24
30
0
08 Apr 2021
OXnet: Omni-supervised Thoracic Disease Detection from Chest X-rays
OXnet: Omni-supervised Thoracic Disease Detection from Chest X-rays
Luyang Luo
Hao Chen
Yanning Zhou
Huangjing Lin
Pheng-Ann Pheng
19
8
0
07 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
33
93
0
07 Apr 2021
Attention, please! A survey of Neural Attention Models in Deep Learning
Attention, please! A survey of Neural Attention Models in Deep Learning
Alana de Santana Correia
Esther Luna Colombini
HAI
25
175
0
31 Mar 2021
Few-shot Weakly-Supervised Object Detection via Directional Statistics
Few-shot Weakly-Supervised Object Detection via Directional Statistics
Amirreza Shaban
Amir M. Rahimi
Thalaiyasingam Ajanthan
Byron Boots
Richard I. Hartley
WSOD
21
5
0
25 Mar 2021
Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning
  for Whole Slide Image Classification
Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification
Yash Sharma
A. Shrivastava
L. Ehsan
C. Moskaluk
Sana Syed
Donald E. Brown
20
134
0
19 Mar 2021
Dementia Severity Classification under Small Sample Size and Weak
  Supervision in Thick Slice MRI
Dementia Severity Classification under Small Sample Size and Weak Supervision in Thick Slice MRI
Reza Shirkavand
Sana Ayromlou
Soroush Farghadani
M. Tahaei
Fattane Pourakpour
Bahareh Siahlou
Z. Khodakarami
M. Rohban
M. Fatehi
Hamid R. Rabiee
33
1
0
18 Mar 2021
HAMIL: Hierarchical Aggregation-Based Multi-Instance Learning for
  Microscopy Image Classification
HAMIL: Hierarchical Aggregation-Based Multi-Instance Learning for Microscopy Image Classification
Yanlun Tu
Houchao Lei
Wei Long
Yang Yang
35
16
0
17 Mar 2021
Multiple Instance Captioning: Learning Representations from
  Histopathology Textbooks and Articles
Multiple Instance Captioning: Learning Representations from Histopathology Textbooks and Articles
Jevgenij Gamper
Nasir M. Rajpoot
27
63
0
08 Mar 2021
An Interpretable Multiple-Instance Approach for the Detection of
  referable Diabetic Retinopathy from Fundus Images
An Interpretable Multiple-Instance Approach for the Detection of referable Diabetic Retinopathy from Fundus Images
Alexandros Papadopoulos
F. Topouzis
A. Delopoulos
43
26
0
02 Mar 2021
A novel multiple instance learning framework for COVID-19 severity
  assessment via data augmentation and self-supervised learning
A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning
Ze-kun Li
Wei Zhao
F. Shi
Lei Qi
Xingzhi Xie
...
Yang Gao
Shangjie Wu
Jun Liu
Yinghuan Shi
Dinggang Shen
39
57
0
07 Feb 2021
A Global-local Attention Framework for Weakly Labelled Audio Tagging
A Global-local Attention Framework for Weakly Labelled Audio Tagging
Helin Wang
Yuexian Zou
Wenwu Wang
21
6
0
03 Feb 2021
Multi-Instance Learning by Utilizing Structural Relationship among
  Instances
Multi-Instance Learning by Utilizing Structural Relationship among Instances
Yangling Ma
Zhouwang Yang
22
4
0
03 Feb 2021
Vessel-CAPTCHA: an efficient learning framework for vessel annotation
  and segmentation
Vessel-CAPTCHA: an efficient learning framework for vessel annotation and segmentation
Vien Ngoc Dang
Francesco Galati
Rosa Cortese
G. Giacomo
Viola Marconeto
Pratek Mathur
Karim Lekadir
Marco Lorenzi
F. Prados
Maria A. Zuluaga
MedIm
25
35
0
22 Jan 2021
Resolution-Based Distillation for Efficient Histology Image
  Classification
Resolution-Based Distillation for Efficient Histology Image Classification
Joseph DiPalma
A. Suriawinata
L. Tafe
Lorenzo Torresani
Saeed Hassanpour
40
36
0
11 Jan 2021
SCC: an efficient deep reinforcement learning agent mastering the game
  of StarCraft II
SCC: an efficient deep reinforcement learning agent mastering the game of StarCraft II
Xiangjun Wang
Junxiao Song
Penghui Qi
Peng Peng
Zhenkun Tang
...
Xiongjun Pi
Jujie He
Chao Gao
Haitao Long
Quan Yuan
24
40
0
24 Dec 2020
Learning Aggregation Functions
Learning Aggregation Functions
Giovanni Pellegrini
Alessandro Tibo
P. Frasconi
Andrea Passerini
M. Jaeger
FedML
18
19
0
15 Dec 2020
AMINN: Autoencoder-based Multiple Instance Neural Network Improves
  Outcome Prediction of Multifocal Liver Metastases
AMINN: Autoencoder-based Multiple Instance Neural Network Improves Outcome Prediction of Multifocal Liver Metastases
Jianan Chen
H. Cheung
L. Milot
Anne L. Martel
27
13
0
12 Dec 2020
Deformable Gabor Feature Networks for Biomedical Image Classification
Deformable Gabor Feature Networks for Biomedical Image Classification
Xuan Gong
Xin Xia
Wentao Zhu
Baochang Zhang
David Doermann
Lian Zhuo
OOD
MedIm
22
24
0
07 Dec 2020
Self-Supervision Closes the Gap Between Weak and Strong Supervision in
  Histology
Self-Supervision Closes the Gap Between Weak and Strong Supervision in Histology
Olivier Dehaene
Axel Camara
O. Moindrot
Axel de Lavergne
P. Courtiol
26
69
0
07 Dec 2020
Classifying bacteria clones using attention-based deep multiple instance
  learning interpreted by persistence homology
Classifying bacteria clones using attention-based deep multiple instance learning interpreted by persistence homology
Adriana Borowa
Dawid Rymarczyk
D. Ochonska
M. Brzychczy-Wloch
Bartosz Zieliñski
14
7
0
02 Dec 2020
Attention-Based Learning on Molecular Ensembles
Attention-Based Learning on Molecular Ensembles
Kangway V Chuang
Michael J. Keiser
22
8
0
25 Nov 2020
On Adversarial Robustness of 3D Point Cloud Classification under
  Adaptive Attacks
On Adversarial Robustness of 3D Point Cloud Classification under Adaptive Attacks
Jiachen Sun
Karl Koenig
Yulong Cao
Qi Alfred Chen
Z. Morley Mao
3DPC
21
20
0
24 Nov 2020
PS-DeVCEM: Pathology-sensitive deep learning model for video capsule
  endoscopy based on weakly labeled data
PS-DeVCEM: Pathology-sensitive deep learning model for video capsule endoscopy based on weakly labeled data
A. Mohammed
I. Farup
Marius Pedersen
Sule YAYILGAN YILDIRIM
Ø. Hovde
34
18
0
22 Nov 2020
Deep learning models for gastric signet ring cell carcinoma
  classification in whole slide images
Deep learning models for gastric signet ring cell carcinoma classification in whole slide images
F. Kanavati
Shin Ichihara
Michael Rambeau
O. Iizuka
K. Arihiro
M. Tsuneki
MedIm
30
24
0
18 Nov 2020
Dual-stream Multiple Instance Learning Network for Whole Slide Image
  Classification with Self-supervised Contrastive Learning
Dual-stream Multiple Instance Learning Network for Whole Slide Image Classification with Self-supervised Contrastive Learning
Bin Li
Yin Li
K. Eliceiri
9
593
0
17 Nov 2020
Deep Interpretable Classification and Weakly-Supervised Segmentation of
  Histology Images via Max-Min Uncertainty
Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty
Soufiane Belharbi
Jérôme Rony
Jose Dolz
Ismail Ben Ayed
Luke McCaffrey
Eric Granger
24
52
0
14 Nov 2020
Deep Learning Derived Histopathology Image Score for Increasing Phase 3
  Clinical Trial Probability of Success
Deep Learning Derived Histopathology Image Score for Increasing Phase 3 Clinical Trial Probability of Success
Qi Tang
Vardaan Kishore Kumar
6
0
0
10 Nov 2020
A Multi-resolution Model for Histopathology Image Classification and
  Localization with Multiple Instance Learning
A Multi-resolution Model for Histopathology Image Classification and Localization with Multiple Instance Learning
Jiayun Li
Wenyuan Li
Anthony Sisk
Huihui Ye
W. D. Wallace
W. Speier
C. Arnold
24
108
0
05 Nov 2020
Deep DA for Ordinal Regression of Pain Intensity Estimation Using Weakly-Labeled Videos
G. Praveen
Eric Granger
P. Cardinal
17
2
0
28 Oct 2020
Unsupervised deep learning for grading of age-related macular
  degeneration using retinal fundus images
Unsupervised deep learning for grading of age-related macular degeneration using retinal fundus images
Baladitya Yellapragada
Sascha Hornauer
Kiersten Snyder
Stella X. Yu
Glenn Yiu
MedIm
16
4
0
22 Oct 2020
Learning to Reconstruct and Segment 3D Objects
Learning to Reconstruct and Segment 3D Objects
Bo Yang
3DPC
19
1
0
19 Oct 2020
Deep Multi-path Network Integrating Incomplete Biomarker and Chest CT
  Data for Evaluating Lung Cancer Risk
Deep Multi-path Network Integrating Incomplete Biomarker and Chest CT Data for Evaluating Lung Cancer Risk
Riqiang Gao
Yucheng Tang
Kaiwen Xu
M. Kammer
S. Antic
S. Deppen
K. Sandler
P. Massion
Yuankai Huo
Bennett A. Landman
22
10
0
19 Oct 2020
RMDL: Recalibrated multi-instance deep learning for whole slide gastric
  image classification
RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification
Shujun Wang
Yaxi Zhu
Lequan Yu
Hao Chen
Huangjing Lin
Xiangbo Wan
Xinjuan Fan
Pheng-Ann Hen
36
144
0
13 Oct 2020
Self-Guided Multiple Instance Learning for Weakly Supervised Disease
  Classification and Localization in Chest Radiographs
Self-Guided Multiple Instance Learning for Weakly Supervised Disease Classification and Localization in Chest Radiographs
C. Seibold
Jens Kleesiek
H. Schlemmer
Rainer Stiefelhagen
SSL
21
6
0
30 Sep 2020
Improving Interpretability for Computer-aided Diagnosis tools on Whole
  Slide Imaging with Multiple Instance Learning and Gradient-based Explanations
Improving Interpretability for Computer-aided Diagnosis tools on Whole Slide Imaging with Multiple Instance Learning and Gradient-based Explanations
Antoine Pirovano
H. Heuberger
Sylvain Berlemont
Saïd Ladjal
Isabelle Bloch
24
12
0
29 Sep 2020
Predicting Parkinson's Disease with Multimodal Irregularly Collected
  Longitudinal Smartphone Data
Predicting Parkinson's Disease with Multimodal Irregularly Collected Longitudinal Smartphone Data
Weijian Li
Wei-wei Zhu
E. R. Dorsey
Jiebo Luo
14
7
0
25 Sep 2020
Whole Slide Images based Cancer Survival Prediction using Attention
  Guided Deep Multiple Instance Learning Networks
Whole Slide Images based Cancer Survival Prediction using Attention Guided Deep Multiple Instance Learning Networks
Jiawen Yao
Xinliang Zhu
J. Jonnagaddala
Nicholas J Hawkins
Junzhou Huang
6
379
0
23 Sep 2020
Federated Learning for Computational Pathology on Gigapixel Whole Slide
  Images
Federated Learning for Computational Pathology on Gigapixel Whole Slide Images
Ming Y. Lu
Dehan Kong
Jana Lipkova
Richard J. Chen
Rajendra Singh
Drew F. K. Williamson
Tiffany Y. Chen
Faisal Mahmood
FedML
MedIm
31
169
0
21 Sep 2020
Sparse Network Inversion for Key Instance Detection in Multiple Instance
  Learning
Sparse Network Inversion for Key Instance Detection in Multiple Instance Learning
Beomjo Shin
Junsu Cho
Hwanjo Yu
Seungjin Choi
10
3
0
07 Sep 2020
Multimodal brain tumor classification
Multimodal brain tumor classification
Marvin Lerousseau
Eric Deutsch
Nikos Paragios
16
7
0
03 Sep 2020
Orientation-Disentangled Unsupervised Representation Learning for
  Computational Pathology
Orientation-Disentangled Unsupervised Representation Learning for Computational Pathology
Maxime W. Lafarge
J. Pluim
M. Veta
DRL
24
8
0
26 Aug 2020
Certainty Pooling for Multiple Instance Learning
Certainty Pooling for Multiple Instance Learning
J. Gildenblat
Ido Ben-Shaul
Z. Lapp
Eldad Klaiman
18
4
0
24 Aug 2020
Deep Domain Adaptation for Ordinal Regression of Pain Intensity
  Estimation Using Weakly-Labelled Videos
Deep Domain Adaptation for Ordinal Regression of Pain Intensity Estimation Using Weakly-Labelled Videos
R Gnana Praveen
Eric Granger
P. Cardinal
31
20
0
13 Aug 2020
Sharp Multiple Instance Learning for DeepFake Video Detection
Sharp Multiple Instance Learning for DeepFake Video Detection
Xiaodan Li
Yining Lang
YueFeng Chen
Xiaofeng Mao
Yuan He
Shuhui Wang
Hui Xue
Quan Lu
AAML
35
171
0
11 Aug 2020
A Flow-Guided Mutual Attention Network for Video-Based Person
  Re-Identification
A Flow-Guided Mutual Attention Network for Video-Based Person Re-Identification
M. Kiran
Amran Bhuiyan
Louis-Antoine Blais-Morin
Mehrsan Javan
Ismail Ben Ayed
Eric Granger
3DPC
21
0
0
09 Aug 2020
Reliable Liver Fibrosis Assessment from Ultrasound using Global
  Hetero-Image Fusion and View-Specific Parameterization
Reliable Liver Fibrosis Assessment from Ultrasound using Global Hetero-Image Fusion and View-Specific Parameterization
Bowen Li
K. Yan
D. Tai
Yuankai Huo
Le Lu
Jing Xiao
Adam P. Harrison
MedIm
6
5
0
07 Aug 2020
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