Attention-based Deep Multiple Instance Learning

13 February 2018

Papers citing "Attention-based Deep Multiple Instance Learning"

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Title
Detecting cutaneous basal cell carcinomas in ultra-high resolution and weakly labelled histopathological images S. Kimeswenger Elisabeth Rumetshofer M. Hofmarcher P. Tschandl Harald Kittler Sepp Hochreiter W. Hötzenecker G. Klambauer MedIm 26 5 0 14 Nov 2019
Streaming convolutional neural networks for end-to-end learning with multi-megapixel images H. Pinckaers Bram van Ginneken G. Litjens MedIm 27 94 0 11 Nov 2019
Combined analysis of coronary arteries and the left ventricular myocardium in cardiac CT angiography for detection of patients with functionally significant stenosis M. Zreik T. Leiner Nadieh Khalili R. V. Hamersvelt J. Wolterink M. Voskuil M. Viergever Ivana Išgum 7 7 0 10 Nov 2019
Semi-Supervised Histology Classification using Deep Multiple Instance Learning and Contrastive Predictive Coding Ming Y. Lu Richard J. Chen Jingwen Wang Debora Dillon Faisal Mahmood SSL 20 94 0 23 Oct 2019
Self-Attentive Document Interaction Networks for Permutation Equivariant Ranking Rama Kumar Pasumarthi Xuanhui Wang Michael Bendersky Marc Najork 23 17 0 21 Oct 2019
Deep Learning for Whole Slide Image Analysis: An Overview Dennis Núñez Ognjen Arandjelović Peter D Caie MedIm 32 267 0 18 Oct 2019
Pi-PE: A Pipeline for Pulmonary Embolism Detection using Sparsely Annotated 3D CT Images Deepta Rajan David Beymer Shafiq Abedin E. Dehghan 19 27 0 05 Oct 2019
Learning Maximally Predictive Prototypes in Multiple Instance Learning Mert Yuksekgonul Özgur Emre Sivrikaya M. Baydogan SSL 6 0 0 02 Oct 2019
Weakly Supervised Attention Networks for Fine-Grained Opinion Mining and Public Health Giannis Karamanolakis Daniel J. Hsu Luis Gravano 16 11 0 30 Sep 2019
$META$^\mathbf{2}$: Memory-efficient taxonomic classification and abundance estimation for metagenomics with deep learning$ META $^\mathbf{2}$ : Memory-efficient taxonomic classification and abundance estimation for metagenomics with deep learning Andreas Georgiou Vincent Fortuin Harun Mustafa Gunnar Rätsch 13 6 0 28 Sep 2019
Deep Message Passing on Sets Yifeng Shi Junier Oliva Marc Niethammer PINN 8 9 0 21 Sep 2019
In Defense of LSTMs for Addressing Multiple Instance Learning Problems Kaili Wang José Oramas Tinne Tuytelaars 14 0 0 11 Sep 2019
Anomaly Detection with Inexact Labels Tomoharu Iwata Machiko Toyoda Shotaro Tora N. Ueda 11 14 0 11 Sep 2019
Deep Weakly-Supervised Learning Methods for Classification and Localization in Histology Images: A Survey Jérôme Rony Soufiane Belharbi Jose Dolz Ismail Ben Ayed Luke McCaffrey Eric Granger 25 70 0 08 Sep 2019
Synthetic patches, real images: screening for centrosome aberrations in EM images of human cancer cells Artem Lukoyanov I. Haberbosch Constantin Pape A. Kraemer Y. Schwab Anna Kreshuk MedIm 29 0 0 27 Aug 2019
Multiple instance dense connected convolution neural network for aerial image scene classification Qi Bi K. Qin Zhili Li Han Zhang Kai Xu 30 110 0 22 Aug 2019
Needles in Haystacks: On Classifying Tiny Objects in Large Images Nick Pawlowski Suvrat Bhooshan Nicolas Ballas F. Ciompi Ben Glocker M. Drozdzal 24 22 0 16 Aug 2019
Distill-to-Label: Weakly Supervised Instance Labeling Using Knowledge Distillation Jayaraman J. Thiagarajan Satyananda Kashyap Alexandros Karargyris VLM 9 10 0 26 Jul 2019
Min-max Entropy for Weakly Supervised Pointwise Localization Soufiane Belharbi Jérôme Rony Jose Dolz Ismail Ben Ayed Luke McCaffrey Eric Granger WSOL 16 0 0 25 Jul 2019
Multi-Instance Multi-Scale CNN for Medical Image Classification Shaohua Li Yong Liu Xiuchao Sui Cheng Chen Gabriel Tjio Daniel Ting Rick Siow Mong Goh 11 49 0 04 Jul 2019
AMI-Net+: A Novel Multi-Instance Neural Network for Medical Diagnosis from Incomplete and Imbalanced Data Zeyuan Wang Josiah Poon S. Poon 6 7 0 03 Jul 2019
Learning from Web Data with Self-Organizing Memory Module Y. Tu Li Niu Junjie Chen Dawei Cheng Liqing Zhang 22 20 0 28 Jun 2019
Deep Instance-Level Hard Negative Mining Model for Histopathology Images Meng Li Lin Wu Arnold Wiliem Kun-li Zhao Teng Zhang Brian C. Lovell 4 31 0 24 Jun 2019
Interpretable ICD Code Embeddings with Self- and Mutual-Attention Mechanisms Dixin Luo Hongteng Xu Lawrence Carin 11 5 0 13 Jun 2019
Multiple instance learning with graph neural networks Ming Tu Jing Huang Xiaodong He Bowen Zhou 17 59 0 12 Jun 2019
Patch Transformer for Multi-tagging Whole Slide Histopathology Images Weijian Li Viet-Duy Nguyen Haofu Liao Matt Wilder Ke Cheng Jiebo Luo ViT MedIm 11 30 0 10 Jun 2019
Globally-Aware Multiple Instance Classifier for Breast Cancer Screening Yiqiu Shen Nan Wu Jason Phang Jungkyu Park S. G. Kim Linda Moy Kyunghyun Cho Krzysztof J. Geras 31 38 0 07 Jun 2019
Weakly Supervised Object Detection with 2D and 3D Regression Neural Networks Florian Dubost H. Adams P. Yilmaz Gerda Bortsova Gijs van Tulder M. Ikram W. Niessen Meike W. Vernooij Marleen de Bruijne MedIm 10 43 0 05 Jun 2019
An attention-based multi-resolution model for prostate whole slide imageclassification and localization Jiayun Li Wenyuan Li Arkadiusz Gertych Beatrice Knudsen W. Speier C. Arnold 23 36 0 30 May 2019
Address Instance-level Label Prediction in Multiple Instance Learning Minlong Peng Qi Zhang 18 7 0 29 May 2019
Specialized Decision Surface and Disentangled Feature for Weakly-Supervised Polyphonic Sound Event Detection Liwei Lin Xiangdong Wang Hong Liu Yueliang Qian 10 42 0 24 May 2019
An embarrassingly simple approach to neural multiple instance classification Amina Asif F. Minhas 19 14 0 06 May 2019
Processing Megapixel Images with Deep Attention-Sampling Models Angelos Katharopoulos Franccois Fleuret 25 64 0 03 May 2019
Learning to Find Common Objects Across Few Image Collections Amirreza Shaban Amir M. Rahimi Shray Bansal Stephen Gould Byron Boots Richard I. Hartley 27 1 0 29 Apr 2019
Weakly Supervised Instance Learning for Thyroid Malignancy Prediction from Whole Slide Cytopathology Images D. Dov S. Kovalsky Serge Assaad Jonathan Cohen D. Range Ricardo Henao Lawrence Carin 29 10 0 26 Apr 2019
Hard Sample Mining for the Improved Retraining of Automatic Speech Recognition Jiabin Xue Jiqing Han Tieran Zheng Jiaxing Guo Boyong Wu 33 10 0 17 Apr 2019
Attention-based Multi-instance Neural Network for Medical Diagnosis from Incomplete and Low Quality Data Zeyuan Wang Josiah Poon Shiding Sun S. Poon 22 26 0 09 Apr 2019
Modeling Point Clouds with Self-Attention and Gumbel Subset Sampling Jiancheng Yang Qiang Zhang Bingbing Ni Linguo Li Jinxian Liu Mengdie Zhou Qi Tian 3DPC 38 379 0 06 Apr 2019
Deep Learning Under the Microscope: Improving the Interpretability of Medical Imaging Neural Networks Magdalini Paschali Muhammad Ferjad Naeem Walter Simson K. Steiger M. Mollenhauer Nassir Navab 19 19 0 05 Apr 2019
Generative-Discriminative Complementary Learning Yanwu Xu Biwei Huang Junxiang Chen Tongliang Liu Kun Zhang Kayhan Batmanghelich GAN 14 36 0 02 Apr 2019
Thyroid Cancer Malignancy Prediction From Whole Slide Cytopathology Images D. Dov S. Kovalsky Jonathan Cohen D. Range Ricardo Henao Lawrence Carin MedIm 12 29 0 29 Mar 2019
Medical Time Series Classification with Hierarchical Attention-based Temporal Convolutional Networks: A Case Study of Myotonic Dystrophy Diagnosis Lei Lin Beilei Xu Wencheng Wu Trevor W. Richardson Edgar A. Bernal 15 28 0 28 Mar 2019
Cross-Modal Data Programming Enables Rapid Medical Machine Learning Jared A. Dunnmon Alexander Ratner Nishith Khandwala Khaled Kamal Saab Matthew Markert ... R. Goldman Christopher Lee-Messer M. Lungren D. Rubin Christopher Ré MedIm 27 73 0 26 Mar 2019
Learning with Sets in Multiple Instance Regression Applied to Remote Sensing Thomas Uriot 6 5 0 18 Mar 2019
On Deep Set Learning and the Choice of Aggregations Maximilian Sölch A. Akhundov Patrick van der Smagt Justin Bayer TDI 19 19 0 18 Mar 2019
Less is More: Learning Highlight Detection from Video Duration Bo Xiong Yannis Kalantidis Deepti Ghadiyaram Kristen Grauman 14 108 0 03 Mar 2019
Weakly Labelled AudioSet Tagging with Attention Neural Networks Qiuqiang Kong Changsong Yu Turab Iqbal Yong-mei Xu Wenwu Wang Mark D. Plumbley NoLa 24 78 0 02 Mar 2019
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and Future Directions F. Altaf Syed Mohammed Shamsul Islam Naveed Akhtar N. Janjua OOD 26 200 0 15 Feb 2019
Robust Multi-instance Learning with Stable Instances Weijia Zhang Jiuyong Li Lin Liu 14 0 0 13 Feb 2019
A 3D Probabilistic Deep Learning System for Detection and Diagnosis of Lung Cancer Using Low-Dose CT Scans Onur Ozdemir Rebecca L. Russell A. Berlin 6 167 0 08 Feb 2019