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Medical image analysis

ISSN 1361-8423· EN

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41.2/100
Journament Score
#4,818
Journament Rank
12
Articles Indexed

About This Journal

Short Name Med Image Anal
Abbreviated Name med image anal
ISSN 1361-8423

Indexings

ncbi ulakbim sci

Publications Per Year

Articles (12)

2019
Multi-modal neuroimaging feature selection with consistent metric constraint for diagnosis of Alzheimer's disease.
Hao, Xiaoke;Bao, Yongjin;Guo, Yingchun;Yu, Ming;Zhang, Daoqiang;Risacher, Shannon L;Saykin, Andrew J;Yao, Xiaohui;Shen, Li;, ;
Vol. 60 , pp. 101625
380 views DOI Abstract
2020
Weakly supervised instance learning for thyroid malignancy prediction from whole slide cytopathology images.
Dov, David;Kovalsky, Shahar Z;Assaad, Serge;Cohen, Jonathan;Range, Danielle Elliott;Pendse, Avani A;Henao, Ricardo;Carin, Lawrence;
Vol. 67 , pp. 101814
373 views DOI Abstract
2020
Multi-atlas image registration of clinical data with automated quality assessment using ventricle segmentation.
Dubost, Florian;Bruijne, Marleen de;Nardin, Marco;Dalca, Adrian V;Donahue, Kathleen L;Giese, Anne-Katrin;Etherton, Mark R;Wu, Ona;Groot, Marius de;Niessen, Wiro;Vernooij, Meike;Rost, Natalia S;Schirmer, Markus D;
Vol. 63 , pp. 101698
368 views DOI Abstract
2019
Adversarial learning for mono- or multi-modal registration.
Fan, Jingfan;Cao, Xiaohuan;Wang, Qian;Yap, Pew-Thian;Shen, Dinggang;
Vol. 58 , pp. 101545
340 views DOI Abstract
2019
Predicting PET-derived demyelination from multimodal MRI using sketcher-refiner adversarial training for multiple sclerosis.
Wei, Wen;Poirion, Emilie;Bodini, Benedetta;Durrleman, Stanley;Ayache, Nicholas;Stankoff, Bruno;Colliot, Olivier;
Vol. 58 , pp. 101546
332 views DOI Abstract
2019
Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology.
Tellez, David;Litjens, Geert;Bándi, Péter;Bulten, Wouter;Bokhorst, John-Melle;Ciompi, Francesco;van der Laak, Jeroen;
Vol. 58 , pp. 101544
330 views DOI Abstract
2019
Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge.
Zhuang, Xiahai;Li, Lei;Payer, Christian;Štern, Darko;Urschler, Martin;Heinrich, Mattias P;Oster, Julien;Wang, Chunliang;Smedby, Örjan;Bian, Cheng;Yang, Xin;Heng, Pheng-Ann;Mortazi, Aliasghar;Bagci, Ulas;Yang, Guanyu;Sun, Chenchen;Galisot, Gaetan;Ramel, Jean-Yves;Brouard, Thierry;Tong, Qianqian;Si, Weixin;Liao, Xiangyun;Zeng, Guodong;Shi, Zenglin;Zheng, Guoyan;Wang, Chengjia;MacGillivray, Tom;Newby, David;Rhode, Kawal;Ourselin, Sebastien;Mohiaddin, Raad;Keegan, Jennifer;Firmin, David;Yang, Guang;
Vol. 58 , pp. 101537
326 views DOI Abstract
2020
Deep neural network models for computational histopathology: A survey.
Srinidhi, Chetan L;Ciga, Ozan;Martel, Anne L;
Vol. 67 , pp. 101813
318 views DOI Abstract
2019
TOP-GAN: Stain-free cancer cell classification using deep learning with a small training set.
Rubin, Moran;Stein, Omer;Turko, Nir A;Nygate, Yoav;Roitshtain, Darina;Karako, Lidor;Barnea, Itay;Giryes, Raja;Shaked, Natan T;
Vol. 57 , pp. 176-185
301 views DOI Abstract
2020
Learning a cortical parcellation of the brain robust to the MRI segmentation with convolutional neural networks.
Thyreau, Benjamin;Taki, Yasuyuki;
Vol. 61 , pp. 101639
293 views DOI Abstract
2020
Segmentation of cellular patterns in confocal images of melanocytic lesions in vivo via a multiscale encoder-decoder network (MED-Net).
Kose, Kivanc;Bozkurt, Alican;Alessi-Fox, Christi;Gill, Melissa;Longo, Caterina;Pellacani, Giovanni;Dy, Jennifer G;Brooks, Dana H;Rajadhyaksha, Milind;
Vol. 67 , pp. 101841
174 views DOI Abstract
2020
Predicting the progression of mild cognitive impairment using machine learning: A systematic, quantitative and critical review.
Ansart, Manon;Epelbaum, Stéphane;Bassignana, Giulia;Bône, Alexandre;Bottani, Simona;Cattai, Tiziana;Couronné, Raphaël;Faouzi, Johann;Koval, Igor;Louis, Maxime;Thibeau-Sutre, Elina;Wen, Junhao;Wild, Adam;Burgos, Ninon;Dormont, Didier;Colliot, Olivier;Durrleman, Stanley;
Vol. 67 , pp. 101848
227 views DOI Abstract
2020
Deep neural network models for computational histopathology: A survey.
Srinidhi, Chetan L;Ciga, Ozan;Martel, Anne L;
Vol. 67 , pp. 101813
318 views DOI Abstract
2020
Weakly supervised instance learning for thyroid malignancy prediction from whole slide cytopathology images.
Dov, David;Kovalsky, Shahar Z;Assaad, Serge;Cohen, Jonathan;Range, Danielle Elliott;Pendse, Avani A;Henao, Ricardo;Carin, Lawrence;
Vol. 67 , pp. 101814
373 views DOI Abstract
2020
Multi-atlas image registration of clinical data with automated quality assessment using ventricle segmentation.
Dubost, Florian;Bruijne, Marleen de;Nardin, Marco;Dalca, Adrian V;Donahue, Kathleen L;Giese, Anne-Katrin;Etherton, Mark R;Wu, Ona;Groot, Marius de;Niessen, Wiro;Vernooij, Meike;Rost, Natalia S;Schirmer, Markus D;
Vol. 63 , pp. 101698
368 views DOI Abstract
2020
Learning a cortical parcellation of the brain robust to the MRI segmentation with convolutional neural networks.
Thyreau, Benjamin;Taki, Yasuyuki;
Vol. 61 , pp. 101639
293 views DOI Abstract
2019
Multi-modal neuroimaging feature selection with consistent metric constraint for diagnosis of Alzheimer's disease.
Hao, Xiaoke;Bao, Yongjin;Guo, Yingchun;Yu, Ming;Zhang, Daoqiang;Risacher, Shannon L;Saykin, Andrew J;Yao, Xiaohui;Shen, Li;, ;
Vol. 60 , pp. 101625
380 views DOI Abstract
2019
Adversarial learning for mono- or multi-modal registration.
Fan, Jingfan;Cao, Xiaohuan;Wang, Qian;Yap, Pew-Thian;Shen, Dinggang;
Vol. 58 , pp. 101545
340 views DOI Abstract
2019
Predicting PET-derived demyelination from multimodal MRI using sketcher-refiner adversarial training for multiple sclerosis.
Wei, Wen;Poirion, Emilie;Bodini, Benedetta;Durrleman, Stanley;Ayache, Nicholas;Stankoff, Bruno;Colliot, Olivier;
Vol. 58 , pp. 101546
332 views DOI Abstract
2019
TOP-GAN: Stain-free cancer cell classification using deep learning with a small training set.
Rubin, Moran;Stein, Omer;Turko, Nir A;Nygate, Yoav;Roitshtain, Darina;Karako, Lidor;Barnea, Itay;Giryes, Raja;Shaked, Natan T;
Vol. 57 , pp. 176-185
301 views DOI Abstract
41
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Journament

Overall Quality Score

41.2/100

Tier: Below Average

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Engagement Score

30.4/100

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15.0/100

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30.0/100

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Innovation Score

40.0/100

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Community Impact Score

36.5/100

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50.0/100

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0.0/100

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0.0/100

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0.0/100

Author Diversity + Interdisciplinary Value (8%)

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0.0/100

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0.0/100

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