Title
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 21 25 0 29 Apr 2021
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Interpretative Computer-aided Lung Cancer Diagnosis: from Radiology Analysis to Malignancy Evaluation Shaohua Zheng Zhiqiang Shen Chenhao Pei Wangbin Ding Haojin Lin Jie-xuan Zheng Lin Pan Bin Zheng Liqin Huang 21 25 0 22 Feb 2021
Generative Adversarial U-Net for Domain-free Medical Image Augmentation Xiaocong Chen Yun Yvonna Li Lina Yao Ehsan Adeli Yu Zhang GAN OOD MedIm 54 17 0 12 Jan 2021
ProCAN: Progressive Growing Channel Attentive Non-Local Network for Lung Nodule Classification M. Al-Shabi Kelvin Shak Maxine Tan 19 53 0 29 Oct 2020
Learning from Multiple Datasets with Heterogeneous and Partial Labels for Universal Lesion Detection in CT K. Yan Jinzheng Cai Youjing Zheng Adam P. Harrison D. Jin Youbao Tang Yuxing Tang Lingyun Huang Jing Xiao Le Lu 42 84 0 05 Sep 2020
Learning Semantics-enriched Representation via Self-discovery, Self-classification, and Self-restoration F. Haghighi M. Taher Zongwei Zhou Michael B. Gotway Jianming Liang MedIm 27 65 0 14 Jul 2020
Nodule2vec: a 3D Deep Learning System for Pulmonary Nodule Retrieval Using Semantic Representation Ilia Kravets Tal Heletz H. Greenspan 3DPC 16 0 0 11 Jul 2020
Primary Tumor Origin Classification of Lung Nodules in Spectral CT using Transfer Learning L. Hesse P. A. Jong J. Pluim Dovile Juodelyte 19 1 0 30 Jun 2020
Universal Lesion Detection by Learning from Multiple Heterogeneously Labeled Datasets K. Yan Jinzheng Cai Adam P. Harrison D. Jin Jing Xiao Le Lu 18 17 0 28 May 2020
Pulmonary Nodule Malignancy Classification Using its Temporal Evolution with Two-Stream 3D Convolutional Neural Networks Xavier Rafael-Palou A. Aubanell Ilaria Bonavita M. Ceresa Gemma Piella Vicent J. Ribas M. A. G. Ballester MedIm 9 2 0 22 May 2020
U-Det: A Modified U-Net architecture with bidirectional feature network for lung nodule segmentation Nikhil Varma Keetha P. SamsonAnoshBabu Chandra Sekhara Rao Annavarapu 32 38 0 20 Mar 2020
FocalMix: Semi-Supervised Learning for 3D Medical Image Detection Dong Wang Yuan Zhang Kexin Zhang Liwei Wang 81 119 0 20 Mar 2020
Re-Identification and Growth Detection of Pulmonary Nodules without Image Registration Using 3D Siamese Neural Networks Xavier Rafael-Palou A. Aubanell Ilaria Bonavita M. Ceresa Gemma Piella Vicent J. Ribas M. A. G. Ballester 24 29 0 22 Dec 2019
Reinventing 2D Convolutions for 3D Images Jiancheng Yang Xiaoyang Huang Yi He Jingwei Xu Canqian Yang Guozheng Xu Bingbing Ni 24 11 0 24 Nov 2019
LNDb: A Lung Nodule Database on Computed Tomography J. Pedrosa Guilherme Aresta Carlos A. Ferreira Márcio Rodrigues P. Leitão ... João Rebelo E. Negrão Isabel Ramos António Cunha A. Campilho 17 62 0 19 Nov 2019
BIAS: Transparent reporting of biomedical image analysis challenges Lena Maier-Hein Annika Reinke Michal Kozubek Anne L. Martel Tal Arbel ... Sinan Onogur Julio Saez-Rodriguez Bram van Ginneken A. Kopp-Schneider Bennett Landman 26 103 0 09 Oct 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
Accurate and Robust Pulmonary Nodule Detection by 3D Feature Pyramid Network with Self-supervised Feature Learning Jingya Liu Liangliang Cao O. Akin Yingli Tian OOD 24 12 0 25 Jul 2019
Lung Nodules Detection and Segmentation Using 3D Mask-RCNN E. Kopelowitz G. Engelhard 3DPC 30 48 0 17 Jul 2019
Synthesizing Diverse Lung Nodules Wherever Massively: 3D Multi-Conditional GAN-based CT Image Augmentation for Object Detection Changhee Han Yoshiro Kitamura Akira Kudo Akimichi Ichinose L. Rundo Yujiro Furukawa Kazuki Umemoto Yuanzhong Li Hideki Nakayama MedIm 24 116 0 12 Jun 2019
Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning from Radiology Reports and Label Ontology Ke Yan Yifan Peng V. Sandfort M. Bagheri Zhiyong Lu Ronald M. Summers MedIm 27 68 0 09 Apr 2019
Automated pulmonary nodule detection using 3D deep convolutional neural networks Hao Tang Daniel R. Kim Xiaohui Xie MedIm 18 78 0 23 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 29 200 0 15 Feb 2019
Evolving the pulmonary nodules diagnosis from classical approaches to deep learning aided decision support: three decades development course and future prospect Bo Liu Wenhao Chi Xinran Li Peng Li W. Liang Haiping Liu Wei Wang Jianxing He 24 69 0 23 Jan 2019
Group-Attention Single-Shot Detector (GA-SSD): Finding Pulmonary Nodules in Large-Scale CT Images Jiechao Ma Xiang Li Hongwei Bran Li Bjoern H. Menze Sen Liang Rongguo Zhang Weishi Zheng 21 14 0 18 Dec 2018
Decompose to manipulate: Manipulable Object Synthesis in 3D Medical Images with Structured Image Decomposition Siqi Liu Eli Gibson Sasa Grbic Zhoubing Xu A. Setio J. Yang Bogdan Georgescu Dorin Comaniciu DiffM MedIm 33 18 0 04 Dec 2018
False Positive Reduction in Lung Computed Tomography Images using Convolutional Neural Networks Gorkem Polat U. Halici Y. S. Dogrusoz MedIm 15 2 0 04 Nov 2018
Integrating Feature and Image Pyramid: A Lung Nodule Detector Learned in Curriculum Fashion Benyuan Sun Zhen Zhou Fandong Zhang Xiuli Li Yizhou Wang 23 0 0 21 Jul 2018
Weakly Supervised Deep Learning for Thoracic Disease Classification and Localization on Chest X-rays Chaochao Yan Jiawen Yao Ruoyu Li Zheng Xu Junzhou Huang 22 118 0 16 Jul 2018
Why rankings of biomedical image analysis competitions should be interpreted with care Lena Maier-Hein Matthias Eisenmann Annika Reinke Sinan Onogur Marko Stankovic ... Ching-Wei Wang M. Weber G. Zheng Pierre Jannin A. Kopp-Schneider 23 297 0 06 Jun 2018
DeepEM: Deep 3D ConvNets With EM For Weakly Supervised Pulmonary Nodule Detection Wentao Zhu Y. S. Vang Yufang Huang Xiaohui Xie MedIm 33 57 0 14 May 2018
3D G-CNNs for Pulmonary Nodule Detection M. Winkels Taco S. Cohen MedIm 3DPC 36 107 0 12 Apr 2018
Towards radiologist-level cancer risk assessment in CT lung screening using deep learning S. Trajanovski Dimitrios Mavroeidis C. Swisher B. Gebre Bastiaan S. Veeling ... C. Wald Brady J. McKee Sebastian Flacke H. MacMahon H. Pien 21 51 0 05 Apr 2018
Semi-supervised multi-task learning for lung cancer diagnosis Naji Khosravan Ulas Bagci 21 42 0 17 Feb 2018
Joint Learning for Pulmonary Nodule Segmentation, Attributes and Malignancy Prediction Botong Wu Zhen Zhou Jianwei Wang Yizhou Wang 25 120 0 10 Feb 2018
Lung and Pancreatic Tumor Characterization in the Deep Learning Era: Novel Supervised and Unsupervised Learning Approaches Sarfaraz Hussein Pujan Kandel C. Bolan Michael B. Wallace Ulas Bagci 99 219 0 10 Jan 2018
End-to-end Lung Nodule Detection in Computed Tomography Dufan Wu Kyungsang Kim Bin Dong Xiaofeng Liu Quanzheng Li MedIm 25 16 0 06 Nov 2017
Discriminative Localization in CNNs for Weakly-Supervised Segmentation of Pulmonary Nodules Xinyang Feng Jie Yang Andrew F. Laine Elsa D. Angelini 14 159 0 04 Jul 2017
Accurate Pulmonary Nodule Detection in Computed Tomography Images Using Deep Convolutional Neural Networks Jia Ding Aoxue Li Zhiqiang Hu Liwei Wang MedIm 24 344 0 14 Jun 2017
Deep Learning for Lung Cancer Detection: Tackling the Kaggle Data Science Bowl 2017 Challenge Kingsley Kuan Mathieu Ravaut Gaurav Manek Huiling Chen Jie Lin Babar Nazir Cen Chen T. C. Howe Zengfeng Zeng V. Chandrasekhar MedIm 23 87 0 26 May 2017
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,639 0 03 Jul 2012