arXivDaily arXiv每日学术速递 周一至周五更新

科学与医疗

医学 AI

医学智能、临床 AI、医学影像、病理、诊断和医疗健康大模型。

共收录 22694 信号源:cs.CV, cs.LG, q-bio, eess.IV, eess.SP

1. 医学影像 22694 篇

2108.09229 2021-08-23 physics.med-ph eess.IV 80%

Using Uncertainty in Deep Learning Reconstruction for Cone-Beam CT of the Brain

Pengwei Wu, Alejandro Sisniega, Ali Uneri, Runze Han, Craig Jones, Prasad Vagdargi, Xiaoxuan Zhang, Mark Luciano, William Anderson, Jeffrey Siewerdsen

专题命中 医学影像 :CT(title,abstract);分类 eess.IV;radiology(comments)

Comments This work was presented at the 16th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully3D), July 19-23, 2021, Leuven, Belgium

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2107.04934 2021-07-13 cs.CV 80%

A Spatial Guided Self-supervised Clustering Network for Medical Image Segmentation

Euijoon Ahn, Dagan Feng, Jinman Kim

专题命中 医学影像 :medical image(title,abstract);分类 cs.CV

Comments Accepted at Medical Image Computing and Computer Assisted Interventions (MICCAI) 2021

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2106.01603 2021-06-04 cs.CV 80%

CT-Net: Channel Tensorization Network for Video Classification

Kunchang Li, Xianhang Li, Yali Wang, Jun Wang, Yu Qiao

专题命中 医学影像 :CT(title,abstract);分类 cs.CV

Comments ICLR 2021. Code is available on https://github.com/Andy1621/CT-Net

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2106.01544 2021-06-04 cs.CV 80%

SSMD: Semi-Supervised Medical Image Detection with Adaptive Consistency and Heterogeneous Perturbation

Hong-Yu Zhou, Chengdi Wang, Haofeng Li, Gang Wang, Shu Zhang, Weimin Li, Yizhou Yu

专题命中 医学影像 :medical image(title,abstract);分类 cs.CV

Comments Accepted by Medical Image Analysis

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2106.01435 2021-06-04 eess.IV cs.NE 80%

Real-Time COVID-19 Diagnosis from X-Ray Images Using Deep CNN and Extreme Learning Machines Stabilized by Chimp Optimization Algorithm

Hu Tianqing, Mohammad Khishe, Mokhtar Mohammadi, Gholam-Reza Parvizi, Sarkhel H. Taher Karim, Tarik A. Rashid

专题命中 医学影像 :diagnosis(title,abstract);分类 eess.IV;biomedical(journal_ref)

Comments 17 pages. arXiv admin note: text overlap with arXiv:2105.14192

Journal ref Biomedical Signal Processing and Control, 2021

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1805.12526 2021-04-27 physics.med-ph cs.CV 80%

Fully Automated Organ Segmentation in Male Pelvic CT Images

Anjali Balagopal, Samaneh Kazemifar, Dan Nguyen, Mu-Han Lin, Raquibul Hannan, Amir Owrangi, Steve Jiang

专题命中 医学影像 :CT(title,abstract);分类 cs.CV

Comments 21 pages; 11 figures; 4 tables

Journal ref Balagopal A, Kazemifar S, Nguyen D, Lin M H, Hannan R, Owrangi A and Jiang S 2018 Fully automated organ segmentation in male pelvic CT images Phys. Med. Biol. 63 245015

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1902.02205 2021-03-01 cs.CV 80%

Labelling Vertebrae with 2D Reformations of Multidetector CT Images: An Adversarial Approach for Incorporating Prior Knowledge of Spine Anatomy

Anjany Sekuboyina, Markus Rempfler, Alexander Valentinitsch, Bjoern H. Menze, Jan S. Kirschke

专题命中 医学影像 :CT(title,abstract);分类 cs.CV;radiology(comments)

Comments Published in Radiology:AI

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2012.11151 2020-12-22 cs.CV 80%

Automated segmentation of an intensity calibration phantom in clinical CT images using a convolutional neural network

Keisuke Uemura, Yoshito Otake, Masaki Takao, Mazen Soufi, Akihiro Kawasaki, Nobuhiko Sugano, Yoshinobu Sato

专题命中 医学影像 :CT(title,abstract);分类 cs.CV

Comments 29 pages, 7 figures. The source code and the model used for segmenting the phantom are open and can be accessed via https://github.com/keisuke-uemura/CT-Intensity-Calibration-Phantom-Segmentation

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2007.06855 2020-07-15 cs.CV cs.CR 80%

BUNET: Blind Medical Image Segmentation Based on Secure UNET

Song Bian, Xiaowei Xu, Weiwen Jiang, Yiyu Shi, Takashi Sato

专题命中 医学影像 :medical image(title,abstract);分类 cs.CV

Comments 11 pages, 2 figures, in Proceedings of International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2020)

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1907.08137 2020-07-01 eess.IV 80%

Accelerated Coronary MRI with sRAKI: A Database-Free Self-Consistent Neural Network k-space Reconstruction for Arbitrary Undersampling

Seyed Amir Hossein Hosseini, Chi Zhang, Sebastian Weingärtner, Steen Moeller, Matthias Stuber, Kâmil Uǧurbil, Mehmet Akçakaya

专题命中 医学影像 :MRI(title,abstract);分类 eess.IV;biomedical(comments)

Comments This work has been partially presented at ISMRM Workshop on Machine Learning Part 2 (October 2018), SCMR/ISMRM Co-Provided Workshop (February 2019), IEEE International Symposium on Biomedical Imaging (April 2019) and ISMRM 27$^{th}$ Annual Meeting and Exhibition (May 2019)

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1807.05648 2020-06-23 cs.CV 80%

Convolutional Sparse Kernel Network for Unsupervised Medical Image Analysis

Euijoon Ahn, Jinman Kim, Ashnil Kumar, Michael Fulham, Dagan Feng

专题命中 医学影像 :medical image(title,abstract);分类 cs.CV

Comments Accepted by Medical Image Analysis (with a new title 'Convolutional Sparse Kernel Network for Unsupervised Medical Image Analysis'). The manuscript is available from following link (https://doi.org/10.1016/j.media.2019.06.005)

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2005.10755 2020-05-22 physics.med-ph eess.IV 80%

Do CNNs solve the CT inverse problem?

Emil Y. Sidky, Iris Lorente, Jovan G. Brankov, Xiaochuan Pan

专题命中 医学影像 :CT(title,abstract);分类 eess.IV;biomedical(comments)

Comments 12 pages, 11 figures. Will be submitted to IEEE Transactions on Biomedical Engineering

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1903.03141 2020-02-19 eess.SP 80%

Linear Predictability in MRI Reconstruction: Leveraging Shift-Invariant Fourier Structure for Faster and Better Imaging

Justin P. Haldar, Kawin Setsompop

专题命中 医学影像 :MRI(title,abstract);分类 eess.SP

Comments Submitted to IEEE Signal Processing Magazine, Special Issue on Computational MRI: Compressed Sensing and Beyond

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2001.08307 2020-01-24 eess.IV 80%

Model-Based Deep Learning for Reconstruction of Joint k-q Under-sampled High Resolution Diffusion MRI

Merry P. Mani, Hemant K. Aggarwal, Sanjay Ghosh, Mathews Jacob

专题命中 医学影像 :MRI(title,abstract);分类 eess.IV;biomedical(journal_ref)

Comments 4 pages, 4 figures, and 1 table

Journal ref IEEE International Symposium on Biomedical Imaging (ISBI) 2020

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1611.02869 2020-01-03 stat.AP cs.CV stat.ML 80%

Gaussian process regression can turn non-uniform and undersampled diffusion MRI data into diffusion spectrum imaging

Jens Sjölund, Anders Eklund, Evren Özarslan, Hans Knutsson

专题命中 医学影像 :MRI(title,abstract);分类 cs.CV;biomedical(journal_ref)

Comments 5 pages

Journal ref 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)

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1905.02793 2019-05-10 cs.CV 80%

Skin Lesion Classification Using CNNs with Patch-Based Attention and Diagnosis-Guided Loss Weighting

Nils Gessert, Thilo Sentker, Frederic Madesta, Rüdiger Schmitz, Helge Kniep, Ivo Baltruschat, René Werner, Alexander Schlaefer

专题命中 医学影像 :diagnosis(title,abstract);分类 cs.CV;biomedical(comments)

Comments Accepted for publication in IEEE Transactions on Biomedical Engineering

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1903.06342 2019-03-27 cs.CV 80%

Unsupervised Deep Transfer Feature Learning for Medical Image Classification

Euijoon Ahn, Ashnil Kumar, Dagan Feng, Michael Fulham, Jinman Kim

专题命中 医学影像 :medical image(title,abstract);分类 cs.CV;biomedical(comments)

Comments 4 pages, 1 figure, 3 tables, Accepted (Oral) as IEEE International Symposium on Biomedical Imaging 2019

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1903.09263 2019-03-25 cs.CV 80%

Deep Learning with Anatomical Priors: Imitating Enhanced Autoencoders in Latent Space for Improved Pelvic Bone Segmentation in MRI

Duc Duy Pham, Gurbandurdy Dovletov, Sebastian Warwas, Stefan Landgraeber, Marcus Jäger, Josef Pauli

专题命中 医学影像 :MRI(title,abstract);分类 cs.CV;biomedical(comments)

Comments Accepted for IEEE International Symposium on Biomedical Imaging (ISBI) 2019

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1903.04027 2019-03-12 cs.CV 80%

Just-Enough Interaction Approach to Knee MRI Segmentation: Data from the Osteoarthritis Initiative

Satyananda Kashyap, Honghai Zhang, Milan Sonka

专题命中 医学影像 :MRI(title,abstract);分类 cs.CV;medical image(comments)

Comments Proceedings of the 3rd International Workshop on Interactive Medical Image Computing (IMIC), Held in Conjunction with MICCAI, 2016

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1903.02500 2019-03-07 cs.CV 80%

Prostate Segmentation from 3D MRI Using a Two-Stage Model and Variable-Input Based Uncertainty Measure

Huitong Pan, Yushan Feng, Quan Chen, Craig Meyer, Xue Feng

专题命中 医学影像 :MRI(title,abstract);分类 cs.CV;biomedical(comments)

Comments IEEE International Symposium on Biomedical Imaging (ISBI) 2019

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1902.08236 2019-02-25 cs.CV 80%

Lung Cancer Detection using Co-learning from Chest CT Images and Clinical Demographics

Jiachen Wang, Riqiang Gao, Yuankai Huo, Shunxing Bao, Yunxi Xiong, Sanja L. Antic, Travis J. Osterman, Pierre P. Massion, Bennett A. Landman

专题命中 医学影像 :CT(title,abstract);分类 cs.CV;medical image(comments)

Comments SPIE Medical Image, oral presentation

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1901.08707 2019-01-28 cs.CV 80%

Surrogate Supervision for Medical Image Analysis: Effective Deep Learning From Limited Quantities of Labeled Data

Nima Tajbakhsh, Yufei Hu, Junli Cao, Xingjian Yan, Yi Xiao, Yong Lu, Jianming Liang, Demetri Terzopoulos, Xiaowei Ding

专题命中 医学影像 :medical image(title,abstract);分类 cs.CV;biomedical(comments)

Comments Accepted in IEEE International Symposium on Biomedical Imaging (ISBI 2019)

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1901.07759 2019-01-25 cs.CV 80%

Robust Learning at Noisy Labeled Medical Images: Applied to Skin Lesion Classification

Cheng Xue, Qi Dou, Xueying Shi, Hao Chen, Pheng Ann Heng

专题命中 医学影像 :medical image(title,abstract);分类 cs.CV;biomedical(journal_ref)

Comments Accepted for publication at ISBI 2019

Journal ref IEEE International Symposium on Biomedical Imaging (ISBI 2019)

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1901.06359 2019-01-25 cs.CV 80%

ULDor: A Universal Lesion Detector for CT Scans with Pseudo Masks and Hard Negative Example Mining

Youbao Tang, Ke Yan, Yuxing Tang, Jiamin Liu, Jing Xiao, Ronald M. Summers

专题命中 医学影像 :CT(title,abstract);分类 cs.CV;biomedical(journal_ref)

Journal ref IEEE International Symposium on Biomedical Imaging (ISBI) 2019

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1812.08364 2018-12-21 eess.IV physics.med-ph 80%

Model Based Iterative Reconstruction With Spatially Adaptive Sinogram Weights for Wide-Cone Cardiac CT

Amirkoushyar Ziabari, Dong Hye Ye, Lin Fu, Somesh Srivastava, Ken D. Sauer, Jean-Baptist Thibault, Charles A. Bouman

专题命中 医学影像 :CT(title,abstract);分类 eess.IV

Comments The 5th international Conference on image formation in X-ray Computed Tomography (Proceedings of CT Meeting). Compared to original publication, we slightly modified figure 4 for better clarity

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1807.03122 2018-11-02 cs.CV 80%

Fully Convolutional Networks for Automated Segmentation of Abdominal Adipose Tissue Depots in Multicenter Water-Fat MRI

Taro Langner, Anders Hedström, Katharina Mörwald, Daniel Weghuber, Anders Forslund, Peter Bergsten, Håkan Ahlström, Joel Kullberg

专题命中 医学影像 :MRI(title,abstract);分类 cs.CV

Comments Key words: deep learning, fully convolutional networks, segmentation, water-fat MRI, adipose tissue, abdominal

Journal ref Magn Reson Med. 2018;00:1-10

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1810.10117 2018-10-25 cs.CV 80%

End-to-End Diagnosis and Segmentation Learning from Cardiac Magnetic Resonance Imaging

Gerard Snaauw, Dong Gong, Gabriel Maicas, Anton van den Hengel, Wiro J. Niessen, Johan Verjans, Gustavo Carneiro

专题命中 医学影像 :diagnosis(title,abstract);分类 cs.CV;biomedical(comments)

Comments submitted to 2019 IEEE International Symposium on Biomedical Imaging (ISBI)

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1810.03143 2018-10-25 cs.CV 80%

Coronary Artery Centerline Extraction in Cardiac CT Angiography Using a CNN-Based Orientation Classifier

Jelmer M. Wolterink, Robbert W. van Hamersvelt, Max A. Viergever, Tim Leiner, Ivana Išgum

专题命中 医学影像 :CT(title,abstract);分类 cs.CV;medical image(comments)

Comments Accepted in Medical Image Analysis

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1804.06353 2018-09-17 cs.CV 80%

Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis

Veronika Cheplygina, Marleen de Bruijne, Josien P. W. Pluim

专题命中 医学影像 :medical image(title,comments);diagnosis(abstract);分类 cs.CV

Comments Submitted to Medical Image Analysis

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1809.02268 2018-09-10 cs.CV 80%

Computation of Total Kidney Volume from CT images in Autosomal Dominant Polycystic Kidney Disease using Multi-Task 3D Convolutional Neural Networks

Deepak Keshwani, Yoshiro Kitamura, Yuanzhong Li

专题命中 医学影像 :CT(title);medical image(abstract,comments);分类 cs.CV

Comments 8 pages, 5 figures, To appear in the Proceedings of the 21st International Conference On Medical Image Computing & Computer Assisted Intervention, Machine Learning in Medical Imaging workshop, 16-20 September 2018, Granada, Spain

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