skip to main content
Idioma:
Resultados 1 2 3 4 5 next page
Mostrar Somente
Refinado por: assunto: Humans remover
Result Number Material Type Add to My Shelf Action Record Details and Options
1
A Dataset and a Technique for Generalized Nuclear Segmentation for Computational Pathology
A Dataset and a Technique for Generalized Nuclear Segmentation for Computational Pathology
Material Type:
Artigo 		Adicionar ao Meu Espaço

A Dataset and a Technique for Generalized Nuclear Segmentation for Computational Pathology

Kumar, Neeraj ; Verma, Ruchika ; Sharma, Sanuj ; Bhargava, Surabhi ; Vahadane, Abhishek ; Sethi, Amit

IEEE transactions on medical imaging, 2017-07, Vol.36 (7), p.1550-1560

United States: IEEE

Texto completo disponível

Citações Citado por
2
Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results From the MICCAI 2015 Endoscopic Vision Challenge
Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results From the MICCAI 2015 Endoscopic Vision Challenge
Material Type:
Artigo 		Adicionar ao Meu Espaço

Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results From the MICCAI 2015 Endoscopic Vision Challenge

Bernal, Jorge ; Tajkbaksh, Nima ; Sanchez, Francisco Javier ; Matuszewski, Bogdan J. ; Hao Chen ; Lequan Yu ; Angermann, Quentin ; Romain, Olivier ; Rustad, Bjorn ; Balasingham, Ilangko ; Pogorelov, Konstantin ; Sungbin Choi ; Debard, Quentin ; Maier-Hein, Lena ; Speidel, Stefanie ; Stoyanov, Danail ; Brandao, Patrick ; Cordova, Henry ; Sanchez-Montes, Cristina ; Gurudu, Suryakanth R. ; Fernandez-Esparrach, Gloria ; Dray, Xavier ; Jianming Liang ; Histace, Aymeric

IEEE transactions on medical imaging, 2017-06, Vol.36 (6), p.1231-1249

United States: IEEE

Texto completo disponível

Citações Citado por
3
De Novo Design of Bioactive Small Molecules by Artificial Intelligence
De Novo Design of Bioactive Small Molecules by Artificial Intelligence
Material Type:
Artigo 		Adicionar ao Meu Espaço

De Novo Design of Bioactive Small Molecules by Artificial Intelligence

Merk, Daniel ; Friedrich, Lukas ; Grisoni, Francesca ; Schneider, Gisbert

Molecular informatics, 2018-01, Vol.37 (1-2), p.n/a [Periódico revisado por pares]

Germany: Wiley Subscription Services, Inc

Texto completo disponível

Citações Citado por
4
D3R Grand Challenge 2: blind prediction of protein–ligand poses, affinity rankings, and relative binding free energies
D3R Grand Challenge 2: blind prediction of protein–ligand poses, affinity rankings, and relative binding free energies
Material Type:
Artigo 		Adicionar ao Meu Espaço

D3R Grand Challenge 2: blind prediction of protein–ligand poses, affinity rankings, and relative binding free energies

Gaieb, Zied ; Liu, Shuai ; Gathiaka, Symon ; Chiu, Michael ; Yang, Huanwang ; Shao, Chenghua ; Feher, Victoria A. ; Walters, W. Patrick ; Kuhn, Bernd ; Rudolph, Markus G. ; Burley, Stephen K. ; Gilson, Michael K. ; Amaro, Rommie E.

Journal of computer-aided molecular design, 2018-01, Vol.32 (1), p.1-20 [Periódico revisado por pares]

Cham: Springer International Publishing

Texto completo disponível

Citações Citado por
5
A real-time system for biomechanical analysis of human movement and muscle function
A real-time system for biomechanical analysis of human movement and muscle function
Material Type:
Artigo 		Adicionar ao Meu Espaço

A real-time system for biomechanical analysis of human movement and muscle function

van den Bogert, Antonie J. ; Geijtenbeek, Thomas ; Even-Zohar, Oshri ; Steenbrink, Frans ; Hardin, Elizabeth C.

Medical & biological engineering & computing, 2013-10, Vol.51 (10), p.1069-1077 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

Texto completo disponível

Citações Citado por
6
Applications of Deep Learning and Reinforcement Learning to Biological Data
Applications of Deep Learning and Reinforcement Learning to Biological Data
Material Type:
Artigo 		Adicionar ao Meu Espaço

Applications of Deep Learning and Reinforcement Learning to Biological Data

Mahmud, Mufti ; Kaiser, Mohammed Shamim ; Hussain, Amir ; Vassanelli, Stefano

IEEE transaction on neural networks and learning systems, 2018-06, Vol.29 (6), p.2063-2079

United States: IEEE

Texto completo disponível

Citações Citado por
7
TargetNet: a web service for predicting potential drug–target interaction profiling via multi-target SAR models
TargetNet: a web service for predicting potential drug–target interaction profiling via multi-target SAR models
Material Type:
Artigo 		Adicionar ao Meu Espaço

TargetNet: a web service for predicting potential drug–target interaction profiling via multi-target SAR models

Yao, Zhi-Jiang ; Dong, Jie ; Che, Yu-Jing ; Zhu, Min-Feng ; Wen, Ming ; Wang, Ning-Ning ; Wang, Shan ; Lu, Ai-Ping ; Cao, Dong-Sheng

Journal of computer-aided molecular design, 2016-05, Vol.30 (5), p.413-424 [Periódico revisado por pares]

Cham: Springer International Publishing

Texto completo disponível

Citações Citado por
8
Automatic detection and classification of leukocytes using convolutional neural networks
Automatic detection and classification of leukocytes using convolutional neural networks
Material Type:
Artigo 		Adicionar ao Meu Espaço

Automatic detection and classification of leukocytes using convolutional neural networks

Zhao, Jianwei ; Zhang, Minshu ; Zhou, Zhenghua ; Chu, Jianjun ; Cao, Feilong

Medical & biological engineering & computing, 2017-08, Vol.55 (8), p.1287-1301 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

Texto completo disponível

Citações Citado por
9
DukeSim: A Realistic, Rapid, and Scanner-Specific Simulation Framework in Computed Tomography
DukeSim: A Realistic, Rapid, and Scanner-Specific Simulation Framework in Computed Tomography
Material Type:
Artigo 		Adicionar ao Meu Espaço

DukeSim: A Realistic, Rapid, and Scanner-Specific Simulation Framework in Computed Tomography

Abadi, Ehsan ; Harrawood, Brian ; Sharma, Shobhit ; Kapadia, Anuj ; Segars, William P. ; Samei, Ehsan

IEEE transactions on medical imaging, 2019-06, Vol.38 (6), p.1457-1465

United States: IEEE

Texto completo disponível

Citações Citado por
10
COVID-19 Coronavirus spike protein analysis for synthetic vaccines, a peptidomimetic antagonist, and therapeutic drugs, and analysis of a proposed achilles’ heel conserved region to minimize probability of escape mutations and drug resistance
COVID-19 Coronavirus spike protein analysis for synthetic vaccines, a peptidomimetic antagonist, and therapeutic drugs, and analysis of a proposed achilles’ heel conserved region to minimize probability of escape mutations and drug resistance
Material Type:
Artigo 		Adicionar ao Meu Espaço

COVID-19 Coronavirus spike protein analysis for synthetic vaccines, a peptidomimetic antagonist, and therapeutic drugs, and analysis of a proposed achilles’ heel conserved region to minimize probability of escape mutations and drug resistance

Robson, B.

Computers in biology and medicine, 2020-06, Vol.121, p.103749-103749, Article 103749 [Periódico revisado por pares]

United States: Elsevier Ltd

Texto completo disponível

Citações Citado por
Resultados 1 2 3 4 5 next page

Personalize Seus Resultados

  1. Editar

Refine Search Results

Expandir Meus Resultados

  1.   

Mostrar Somente

  1. Revistas revisadas por pares (68.140)

Refinar Meus Resultados

Tipo de Recurso 

  1. Artigos  (72.578)
  2. Anais de Congresso  (6.978)
  3. magazinearticle  (371)
  4. Reports  (108)
  5. Book Chapters  (23)
  6. Resenhas  (4)
  7. Livros  (1)
  8. Mais opções open sub menu

Data de Publicação 

De até
Refinar
  1. Antes de1964  (94)
  2. 1964Até1978  (558)
  3. 1979Até1993  (3.004)
  4. 1994Até2009  (21.043)
  5. Após 2009  (55.425)
  6. Mais opções open sub menu

Idioma 

  1. Inglês  (80.037)
  2. Japonês  (15.705)
  3. Alemão  (65)
  4. Norueguês  (47)
  5. Francês  (26)
  6. Português  (25)
  7. Russo  (6)
  8. Espanhol  (6)
  9. Chinês  (5)
  10. Dinamarquês  (3)
  11. Italiano  (2)
  12. Galês  (1)
  13. Polonês  (1)
  14. Mais opções open sub menu

  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

Buscando em bases de dados remotas. Favor aguardar.