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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 / 236 papers shown
Title
Using Multiple Instance Learning for Explainable Solar Flare Prediction
Using Multiple Instance Learning for Explainable Solar Flare Prediction
C. Huwyler
M. Melchior
12
3
0
25 Mar 2022
Bayesian Nonparametric Submodular Video Partition for Robust Anomaly
  Detection
Bayesian Nonparametric Submodular Video Partition for Robust Anomaly Detection
Hitesh Sapkota
Qi Yu
11
39
0
24 Mar 2022
Interpretable Prediction of Lung Squamous Cell Carcinoma Recurrence With
  Self-supervised Learning
Interpretable Prediction of Lung Squamous Cell Carcinoma Recurrence With Self-supervised Learning
Weicheng Zhu
C. Fernandez‐Granda
N. Razavian
SSL
16
4
0
23 Mar 2022
DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning
  for Histopathology Whole Slide Image Classification
DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification
Hongrun Zhang
Y. Meng
Yitian Zhao
Yihong Qiao
Xiaoyun Yang
Sarah E Coupland
Yalin Zheng
23
272
0
22 Mar 2022
Magnification Prior: A Self-Supervised Method for Learning
  Representations on Breast Cancer Histopathological Images
Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images
Prakash Chandra Chhipa
Richa Upadhyay
G. Pihlgren
Rajkumar Saini
Seiichi Uchida
Marcus Liwicki
SSL
MedIm
24
19
0
15 Mar 2022
Metastatic Cancer Outcome Prediction with Injective Multiple Instance
  Pooling
Metastatic Cancer Outcome Prediction with Injective Multiple Instance Pooling
Jianan Chen
Anne L. Martel
20
2
0
09 Mar 2022
A multi-stream convolutional neural network for classification of
  progressive MCI in Alzheimer's disease using structural MRI images
A multi-stream convolutional neural network for classification of progressive MCI in Alzheimer's disease using structural MRI images
Mona Ashtari-Majlan
Abbas Seifi
Mohammad Mahdi Dehshibi
11
46
0
03 Mar 2022
Constrained unsupervised anomaly segmentation
Constrained unsupervised anomaly segmentation
Julio Silva-Rodríguez
Valery Naranjo
Jose Dolz
18
23
0
03 Mar 2022
Learning Transferable Reward for Query Object Localization with Policy
  Adaptation
Learning Transferable Reward for Query Object Localization with Policy Adaptation
Tingfeng Li
Shaobo Han
Martin Renqiang Min
Dimitris N. Metaxas
25
1
0
24 Feb 2022
Weakly-supervised learning for image-based classification of primary
  melanomas into genomic immune subgroups
Weakly-supervised learning for image-based classification of primary melanomas into genomic immune subgroups
Lucy Godson
Navid Alemi Koohbanani
J. Nsengimana
G. Cook
Emily L. Clarke
Darren Treanor
D. Bishop
J. Newton-Bishop
A. Gooya
16
1
0
23 Feb 2022
Listen to Interpret: Post-hoc Interpretability for Audio Networks with
  NMF
Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMF
Jayneel Parekh
Sanjeel Parekh
Pavlo Mozharovskyi
Florence dÁlché-Buc
G. Richard
16
22
0
23 Feb 2022
Bag Graph: Multiple Instance Learning using Bayesian Graph Neural
  Networks
Bag Graph: Multiple Instance Learning using Bayesian Graph Neural Networks
Soumyasundar Pal
Antonios Valkanas
Florence Regol
Mark J. Coates
SSL
27
16
0
22 Feb 2022
ScoreNet: Learning Non-Uniform Attention and Augmentation for
  Transformer-Based Histopathological Image Classification
ScoreNet: Learning Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image Classification
Thomas Stegmüller
Behzad Bozorgtabar
A. Spahr
Jean-Philippe Thiran
ViT
MedIm
21
42
0
15 Feb 2022
Brain Cancer Survival Prediction on Treatment-na ive MRI using Deep
  Anchor Attention Learning with Vision Transformer
Brain Cancer Survival Prediction on Treatment-na ive MRI using Deep Anchor Attention Learning with Vision Transformer
Xuan Xu
Prateek Prasanna
ViT
MedIm
19
7
0
03 Feb 2022
Oral cancer detection and interpretation: Deep multiple instance
  learning versus conventional deep single instance learning
Oral cancer detection and interpretation: Deep multiple instance learning versus conventional deep single instance learning
N. Koriakina
Natavsa Sladoje
Vladimir Bavsić
Joakim Lindblad
8
4
0
03 Feb 2022
Keyword localisation in untranscribed speech using visually grounded
  speech models
Keyword localisation in untranscribed speech using visually grounded speech models
Kayode Olaleye
Dan Oneaţă
Herman Kamper
19
7
0
02 Feb 2022
On the in vivo recognition of kidney stones using machine learning
On the in vivo recognition of kidney stones using machine learning
F. Lopez-Tiro
V. Estrade
Jacques Hubert
Daniel Flores-Araiza
M. González-Mendoza
Gilberto Ochoa
C. Daul
27
28
0
21 Jan 2022
Deciphering antibody affinity maturation with language models and weakly
  supervised learning
Deciphering antibody affinity maturation with language models and weakly supervised learning
Jeffrey A. Ruffolo
Jeffrey J. Gray
Jeremias Sulam
10
130
0
14 Dec 2021
Robust Weakly Supervised Learning for COVID-19 Recognition Using
  Multi-Center CT Images
Robust Weakly Supervised Learning for COVID-19 Recognition Using Multi-Center CT Images
Qinghao Ye
Yuan Gao
Weiping Ding
Z. Niu
Chengjia Wang
...
Minhao Wang
E. Fang
Wade Menpes-Smith
Jun Xia
Guang Yang
OOD
26
33
0
09 Dec 2021
Towards Explainable End-to-End Prostate Cancer Relapse Prediction from
  H&E Images Combining Self-Attention Multiple Instance Learning with a
  Recurrent Neural Network
Towards Explainable End-to-End Prostate Cancer Relapse Prediction from H&E Images Combining Self-Attention Multiple Instance Learning with a Recurrent Neural Network
Esther Dietrich
Patrick Fuhlert
Anne Ernst
G. Sauter
M. Lennartz
H. Stiehl
Marina Zimmermann
Stefan Bonn
20
4
0
26 Nov 2021
Deep Probability Estimation
Deep Probability Estimation
Sheng Liu
Aakash Kaku
Weicheng Zhu
M. Leibovich
S. Mohan
...
Haoxiang Huang
L. Zanna
N. Razavian
Jonathan Niles-Weed
C. Fernandez‐Granda
UQCV
OOD
28
14
0
21 Nov 2021
Multi-Vector Models with Textual Guidance for Fine-Grained Scientific
  Document Similarity
Multi-Vector Models with Textual Guidance for Fine-Grained Scientific Document Similarity
Sheshera Mysore
Arman Cohan
Tom Hope
11
39
0
16 Nov 2021
A Probabilistic Hard Attention Model For Sequentially Observed Scenes
A Probabilistic Hard Attention Model For Sequentially Observed Scenes
Samrudhdhi B. Rangrej
James J. Clark
24
12
0
15 Nov 2021
Learning Data Teaching Strategies Via Knowledge Tracing
Learning Data Teaching Strategies Via Knowledge Tracing
Ghodai M. Abdelrahman
Qing Wang
24
12
0
13 Nov 2021
HEROHE Challenge: assessing HER2 status in breast cancer without
  immunohistochemistry or in situ hybridization
HEROHE Challenge: assessing HER2 status in breast cancer without immunohistochemistry or in situ hybridization
Eduardo Conde-Sousa
João Vale
Ming Feng
Kele Xu
Yin Wang
...
Guilherme Aresta
Teresa Araújo
Paulo Aguiar
C. Eloy
A. Polónia
24
28
0
08 Nov 2021
Accounting for Dependencies in Deep Learning Based Multiple Instance
  Learning for Whole Slide Imaging
Accounting for Dependencies in Deep Learning Based Multiple Instance Learning for Whole Slide Imaging
Andriy Myronenko
Ziyue Xu
Dong Yang
H. Roth
Daguang Xu
12
48
0
01 Nov 2021
Diagnosis of COVID-19 Using Machine Learning and Deep Learning: A review
Diagnosis of COVID-19 Using Machine Learning and Deep Learning: A review
Rubaiyat Hossain Mondal
Subrato Bharati
Prajoy Podder
19
56
0
28 Oct 2021
Dynamic Review-based Recommenders
Dynamic Review-based Recommenders
K. Cvejoski
Ramses J. Sanchez
Christian Bauckhage
C. Ojeda
BDL
KELM
6
2
0
27 Oct 2021
Weakly Supervised Attention-based Models Using Activation Maps for
  Citrus Mite and Insect Pest Classification
Weakly Supervised Attention-based Models Using Activation Maps for Citrus Mite and Insect Pest Classification
Edson Bollis
H. Maia
Hélio Pedrini
Sandra Avila
27
18
0
02 Oct 2021
Self-supervised learning methods and applications in medical imaging
  analysis: A survey
Self-supervised learning methods and applications in medical imaging analysis: A survey
Saeed Shurrab
R. Duwairi
OOD
34
175
0
17 Sep 2021
A Pathology Deep Learning System Capable of Triage of Melanoma Specimens
  Utilizing Dermatopathologist Consensus as Ground Truth
A Pathology Deep Learning System Capable of Triage of Melanoma Specimens Utilizing Dermatopathologist Consensus as Ground Truth
Sivaramakrishnan Sankarapandian
S. Kohn
Vaughn Spurrier
S. Grullon
R. Soans
...
K. Motaparthi
Jason B. Lee
W. Shon
Michael J. Bonham
Julianna D. Ianni
LM&MA
MedIm
15
14
0
15 Sep 2021
Seeking an Optimal Approach for Computer-Aided Pulmonary Embolism
  Detection
Seeking an Optimal Approach for Computer-Aided Pulmonary Embolism Detection
N. Islam
S. Gehlot
Zongwei Zhou
Michael B. Gotway
Jianming Liang
OOD
77
11
0
15 Sep 2021
Self supervised learning improves dMMR/MSI detection from histology
  slides across multiple cancers
Self supervised learning improves dMMR/MSI detection from histology slides across multiple cancers
C. Saillard
Olivier Dehaene
Tanguy Marchand
O. Moindrot
A. Kamoun
B. Schmauch
S. Jégou
32
39
0
13 Sep 2021
COVID-view: Diagnosis of COVID-19 using Chest CT
COVID-view: Diagnosis of COVID-19 using Chest CT
Shreeraj Jadhav
Gaofeng Deng
M. Zawin
Arie Kaufman
38
18
0
09 Aug 2021
DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD
  classification directly from H&E whole-slide images in colorectal and breast
  cancer
DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer
Yoni Schirris
E. Gavves
I. Nederlof
H. Horlings
Jonas Teuwen
25
92
0
20 Jul 2021
Multiple Instance Learning with Auxiliary Task Weighting for Multiple
  Myeloma Classification
Multiple Instance Learning with Auxiliary Task Weighting for Multiple Myeloma Classification
Talha Qaiser
S. Winzeck
Theodore Barfoot
T. Barwick
S. Doran
...
N. Tunariu
D. Koh
C. Messiou
A. Rockall
Ben Glocker
16
8
0
16 Jul 2021
Case-based Similar Image Retrieval for Weakly Annotated Large
  Histopathological Images of Malignant Lymphoma Using Deep Metric Learning
Case-based Similar Image Retrieval for Weakly Annotated Large Histopathological Images of Malignant Lymphoma Using Deep Metric Learning
Noriaki Hashimoto
Y. Takagi
Hiroki Masuda
H. Miyoshi
K. Kohno
...
Yoshino Kawaguchi
Shigeo Nakamura
K. Ohshima
H. Hontani
Ichiro Takeuchi
MedIm
24
16
0
08 Jul 2021
A Survey on Graph-Based Deep Learning for Computational Histopathology
A Survey on Graph-Based Deep Learning for Computational Histopathology
David Ahmedt-Aristizabal
M. Armin
Simon Denman
Clinton Fookes
L. Petersson
GNN
AI4CE
19
106
0
01 Jul 2021
A Lightweight ReLU-Based Feature Fusion for Aerial Scene Classification
A Lightweight ReLU-Based Feature Fusion for Aerial Scene Classification
Md. Adnan Arefeen
Sumaiya Tabassum Nimi
M. Y. S. Uddin
Zhu Li
19
10
0
15 Jun 2021
HistoTransfer: Understanding Transfer Learning for Histopathology
HistoTransfer: Understanding Transfer Learning for Histopathology
Yash Sharma
L. Ehsan
Sana Syed
Donald E. Brown
MedIm
21
21
0
13 Jun 2021
Imperceptible Adversarial Examples for Fake Image Detection
Imperceptible Adversarial Examples for Fake Image Detection
Quanyu Liao
Yuezun Li
Xiaoqiang Guo
Bin Kong
Yingxin Zhu
Jianlei Liu
Zhuqing Jiang
Qi Song
Xi Wu
AAML
100
33
0
03 Jun 2021
Robust partial Fourier reconstruction for diffusion-weighted imaging
  using a recurrent convolutional neural network
Robust partial Fourier reconstruction for diffusion-weighted imaging using a recurrent convolutional neural network
Fasil Gadjimuradov
Thomas Benkert
M. Nickel
Andreas K. Maier
OOD
15
11
0
19 May 2021
Non-I.I.D. Multi-Instance Learning for Predicting Instance and Bag
  Labels using Variational Auto-Encoder
Non-I.I.D. Multi-Instance Learning for Predicting Instance and Bag Labels using Variational Auto-Encoder
Weijia Zhang
25
12
0
04 May 2021
Weakly supervised deep learning-based intracranial hemorrhage
  localization
Weakly supervised deep learning-based intracranial hemorrhage localization
Jakub Nemček
Tomáš Vičar
Roman Jakubicek
21
8
0
03 May 2021
Lung Cancer Diagnosis Using Deep Attention Based on Multiple Instance
  Learning and Radiomics
Lung Cancer Diagnosis Using Deep Attention Based on Multiple Instance Learning and Radiomics
Junhua Chen
H. Zeng
Chong Zhang
Zhenwei Shi
Andre Dekker
L. Wee
Inigo Bermejo
13
25
0
29 Apr 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
28
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
25
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
19
60
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
27
26
0
02 Mar 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
35
35
0
11 Jan 2021
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