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Spatial organization and molecular correlation of tumor-infiltrating lymphocytes using deep learning on pathology images
Spatial organization and molecular correlation of tumor-infiltrating lymphocytes using deep learning on pathology images
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Spatial organization and molecular correlation of tumor-infiltrating lymphocytes using deep learning on pathology images

Joel Saltz Rajarsi Gupta; Le Hou; Tahsin Kurc; Pankaj Singh; Vu Nguyen; Dimitris Samaras; Kenneth R Shroyer; Tianhao Zhao; Rebecca Batiste; John Van Arnam; Ilya Shmulevich; Arvind Rao; Alexander J Lazar; Ashish Sharma; Vésteinn Thorsson; Houtan Noushmehr; Carlos Gilberto Carlotti Júnior; José Sebastião dos Santos; Rafael Kemp; Ajith Kumar Sankarankuty; Daniela Pretti da Cunha Tirapelli; The Cancer Genome Atlas Research Network

Cell Reports Cambridge v. 23, n. 1, p. 181-193, 2018

Cambridge 2018

Localização: FMRP - Fac. Medicina de Ribeirão Preto    (pcd 2938421 Estantes Deslizantes )(Acessar)

2
Robust Histopathology Image Analysis: To Label or to Synthesize?
Robust Histopathology Image Analysis: To Label or to Synthesize?
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Robust Histopathology Image Analysis: To Label or to Synthesize?

Hou, Le ; Agarwal, Ayush ; Samaras, Dimitris ; Kurc, Tahsin M. ; Gupta, Rajarsi R. ; Saltz, Joel H.

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, Vol.2019, p.8525-8534

United States: IEEE

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3
Sparse autoencoder for unsupervised nucleus detection and representation in histopathology images
Sparse autoencoder for unsupervised nucleus detection and representation in histopathology images
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Sparse autoencoder for unsupervised nucleus detection and representation in histopathology images

Hou, Le ; Nguyen, Vu ; Kanevsky, Ariel B. ; Samaras, Dimitris ; Kurc, Tahsin M. ; Zhao, Tianhao ; Gupta, Rajarsi R. ; Gao, Yi ; Chen, Wenjin ; Foran, David ; Saltz, Joel H.

Pattern recognition, 2019-02, Vol.86, p.188-200 [Periódico revisado por pares]

England: Elsevier Ltd

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4
Attention De-sparsification Matters: Inducing diversity in digital pathology representation learning
Attention De-sparsification Matters: Inducing diversity in digital pathology representation learning
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Attention De-sparsification Matters: Inducing diversity in digital pathology representation learning

Kapse, Saarthak ; Das, Srijan ; Zhang, Jingwei ; Gupta, Rajarsi R. ; Saltz, Joel ; Samaras, Dimitris ; Prasanna, Prateek

Medical image analysis, 2024-04, Vol.93, p.103070-103070, Article 103070 [Periódico revisado por pares]

Netherlands: Elsevier B.V

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5
Comparison of Different Classifiers with Active Learning to Support Quality Control in Nucleus Segmentation in Pathology Images
Comparison of Different Classifiers with Active Learning to Support Quality Control in Nucleus Segmentation in Pathology Images
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Comparison of Different Classifiers with Active Learning to Support Quality Control in Nucleus Segmentation in Pathology Images

Wen, Si ; Kurc, Tahsin M ; Hou, Le ; Saltz, Joel H ; Gupta, Rajarsi R ; Batiste, Rebecca ; Zhao, Tianhao ; Nguyen, Vu ; Samaras, Dimitris ; Zhu, Wei

AMIA Summits on Translational Science proceedings, 2018, Vol.2017, p.227-236

United States: American Medical Informatics Association

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6
Deep Learning on Electronic Health Records to Improve Disease Coding Accuracy
Deep Learning on Electronic Health Records to Improve Disease Coding Accuracy
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Deep Learning on Electronic Health Records to Improve Disease Coding Accuracy

Rashidian, Sina ; Hajagos, Janos ; Moffitt, Richard A ; Wang, Fusheng ; Noel, Kimberly M ; Gupta, Rajarsi R ; Tharakan, Mathew A ; Saltz, Joel H ; Saltz, Mary M

AMIA Summits on Translational Science proceedings, 2019, Vol.2019, p.620-629

United States: American Medical Informatics Association

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7
Image‐based multiplex immune profiling of cancer tissues: translational implications. A report of the International Immuno‐oncology Biomarker Working Group on Breast Cancer
Image‐based multiplex immune profiling of cancer tissues: translational implications. A report of the International Immuno‐oncology Biomarker Working Group on Breast Cancer
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Image‐based multiplex immune profiling of cancer tissues: translational implications. A report of the International Immuno‐oncology Biomarker Working Group on Breast Cancer

Jahangir, Chowdhury Arif ; Page, David B ; Broeckx, Glenn ; Gonzalez, Claudia A ; Burke, Caoimbhe ; Murphy, Clodagh ; Reis‐filho, Jorge S ; Ly, Amy ; Harms, Paul W ; Gupta, Rajarsi R ; Vieth, Michael ; Hida, Akira I ; Kahila, Mohamed ; Kos, Zuzana ; van Diest, Paul J ; Verbandt, Sara ; Thagaard, Jeppe ; Khiroya, Reena ; Abduljabbar, Khalid ; Acosta Haab, Gabriela ; Acs, Balazs ; Adams, Sylvia ; Almeida, Jonas S ; Alvarado‐cabrero, Isabel ; Azmoudeh‐ardalan, Farid ; Badve, Sunil ; Baharun, Nurkhairul Bariyah ; Bellolio, Enrique R ; Bheemaraju, Vydehi ; Blenman, Kim Rm ; Botinelly Mendonça Fujimoto, Luciana ; Burgues, Octavio ; Chardas, Alexandros ; Cheang, Maggie Chon U ; Ciompi, Francesco ; Cooper, Lee Ad ; Coosemans, An ; Corredor, Germán ; Dantas Portela, Flavio Luis ; Deman, Frederik ; Demaria, Sandra ; Dudgeon, Sarah N ; Elghazawy, Mahmoud ; Fernandez‐martín, Claudio ; Fineberg, Susan ; Fox, Stephen B ; Giltnane, Jennifer M ; Gnjatic, Sacha ; Gonzalez‐ericsson, Paula I ; Grigoriadis, Anita ; Halama, Niels ; Hanna, Matthew G ; Harbhajanka, Aparna ; Hart, Steven N ; Hartman, Johan ; Hewitt, Stephen ; Horlings, Hugo M ; Husain, Zaheed ; Irshad, Sheeba ; Janssen, Emiel Am ; Kataoka, Tatsuki R ; Kawaguchi, Kosuke ; Khramtsov, Andrey I ; Kiraz, Umay ; Kirtani, Pawan ; Kodach, Liudmila L ; Korski, Konstanty ; Akturk, Guray ; Scott, Ely ; Kovács, Anikó ; Lænkholm, Anne‐vibeke ; Lang‐schwarz, Corinna ; Larsimont, Denis ; Lennerz, Jochen K ; Lerousseau, Marvin ; Li, Xiaoxian ; Madabhushi, Anant ; Maley, Sai K ; Manur Narasimhamurthy, Vidya ; Marks, Douglas K ; Mcdonald, Elizabeth S ; Mehrotra, Ravi ; Michiels, Stefan ; Kharidehal, Durga ; Minhas, Fayyaz Ul Amir Afsar ; Mittal, Shachi ; Moore, David A ; Mushtaq, Shamim ; Nighat, Hussain ; Papathomas, Thomas ; Penault‐llorca, Frederique ; Perera, Rashindrie D ; Pinard, Christopher J ; Pinto‐cardenas, Juan Carlos ; Pruneri, Giancarlo ; Pusztai, Lajos ; Rajpoot, Nasir Mahmood ; Rapoport, Bernardo Leon ; Rau, Tilman T ; Ribeiro, Joana M

The Journal of pathology, 2024-03, Vol.262 (3), p.271-288 [Periódico revisado por pares]

Wiley

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8
Spatial analyses of immune cell infiltration in cancer: current methods and future directions. A report of the International Immuno‐Oncology Biomarker Working Group on Breast Cancer
Spatial analyses of immune cell infiltration in cancer: current methods and future directions. A report of the International Immuno‐Oncology Biomarker Working Group on Breast Cancer
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Spatial analyses of immune cell infiltration in cancer: current methods and future directions. A report of the International Immuno‐Oncology Biomarker Working Group on Breast Cancer

Broeckx, Glenn ; Jahangir, Chowdhury Arif ; Verbandt, Sara ; Thagaard, Jeppe ; Khiroya, Reena ; Abduljabbar, Khalid ; Acosta Haab, Gabriela ; Acs, Balazs ; Almeida, Jonas S ; Azmoudeh‐Ardalan, Farid ; Badve, Sunil ; Baharun, Nurkhairul Bariyah ; Bheemaraju, Vydehi ; Botinelly Mendonça Fujimoto, Luciana ; Bouchmaa, Najat ; Cheang, Maggie Chon U ; Ciompi, Francesco ; Cooper, Lee AD ; Coosemans, An ; Corredor, Germán ; Dantas Portela, Flavio Luis ; Demaria, Sandra ; Dudgeon, Sarah N ; Elghazawy, Mahmoud ; Ely, Scott ; Fernandez‐Martín, Claudio ; Fox, Stephen B ; Gallagher, William M ; Giltnane, Jennifer M ; Gonzalez‐Ericsson, Paula I ; Grigoriadis, Anita ; Halama, Niels ; Harbhajanka, Aparna ; Hardas, Alexandros ; Hewitt, Stephen ; Horlings, Hugo M ; Hytopoulos, Evangelos ; Irshad, Sheeba ; Janssen, Emiel AM ; Kahila, Mohamed ; Kawaguchi, Kosuke ; Kharidehal, Durga ; Khramtsov, Andrey I ; Kiraz, Umay ; Kirtani, Pawan ; Kodach, Liudmila L ; Korski, Konstanty ; Kovács, Anikó ; Lang‐Schwarz, Corinna ; Larsimont, Denis ; Lennerz, Jochen K ; Lerousseau, Marvin ; Ly, Amy ; Maley, Sai K ; Manur Narasimhamurthy, Vidya ; Marks, Douglas K ; McDonald, Elizabeth S ; Michiels, Stefan ; Minhas, Fayyaz ul Amir Afsar ; Mittal, Shachi ; Mushtaq, Shamim ; Nighat, Hussain ; Papathomas, Thomas ; Pinard, Christopher J ; Pinto‐Cardenas, Juan Carlos ; Pruneri, Giancarlo ; Pusztai, Lajos ; Rahman, Arman ; Rajpoot, Nasir Mahmood ; Rapoport, Bernardo Leon ; Rau, Tilman T ; Reis‐Filho, Jorge S ; Ribeiro, Joana M ; Rimm, David ; Salto‐Tellez, Manuel ; Sayed, Shahin ; Siziopikou, Kalliopi P ; Stenzinger, Albrecht ; Sughayer, Maher A ; Sur, Daniel ; Symmans, Fraser ; Tanaka, Sunao ; Taxter, Timothy ; Tejpar, Sabine ; Teuwen, Jonas ; Thompson, E Aubrey ; Tramm, Trine ; Verghese, Gregory E ; Vieth, Michael ; Wahab, Noorul ; Walter, Thomas ; Wen, Hannah Y ; Yang, Wentao ; Adams, Sylvia ; Bartlett, John Mark Seaverns ; Loibl, Sibylle ; Savas, Peter ; Loi, Sherene ; Salgado, Roberto ; Specht Stovgaard, Elisabeth

The Journal of pathology, 2023-08, Vol.260 (5), p.514-532 [Periódico revisado por pares]

Chichester, UK: John Wiley & Sons, Ltd

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9
Image‐based multiplex immune profiling of cancer tissues: translational implications. A report of the International Immuno‐oncology Biomarker Working Group on Breast Cancer
Image‐based multiplex immune profiling of cancer tissues: translational implications. A report of the International Immuno‐oncology Biomarker Working Group on Breast Cancer
Material Type:
Artigo 		Adicionar ao Meu Espaço

Image‐based multiplex immune profiling of cancer tissues: translational implications. A report of the International Immuno‐oncology Biomarker Working Group on Breast Cancer

Jahangir, Chowdhury Arif ; Page, David B ; Broeckx, Glenn ; Gonzalez, Claudia A ; Burke, Caoimbhe ; Reis‐Filho, Jorge S ; Ly, Amy ; Harms, Paul W ; Vieth, Michael ; Kos, Zuzana ; Diest, Paul J ; Thagaard, Jeppe ; Khiroya, Reena ; Acosta Haab, Gabriela ; Acs, Balazs ; Adams, Sylvia ; Almeida, Jonas S ; Alvarado‐Cabrero, Isabel ; Azmoudeh‐Ardalan, Farid ; Badve, Sunil ; Baharun, Nurkhairul Bariyah ; Bellolio, Enrique R ; Blenman, Kim RM ; Cheang, Maggie Chon U ; Ciompi, Francesco ; Cooper, Lee AD ; Coosemans, An ; Corredor, Germán ; Dantas Portela, Flavio Luis ; Demaria, Sandra ; Dudgeon, Sarah N ; Elghazawy, Mahmoud ; Fernandez‐Martín, Claudio ; Fineberg, Susan ; Fox, Stephen B ; Giltnane, Jennifer M ; Gnjatic, Sacha ; Grigoriadis, Anita ; Hanna, Matthew G ; Harbhajanka, Aparna ; Hart, Steven N ; Hartman, Johan ; Hewitt, Stephen ; Irshad, Sheeba ; Janssen, Emiel AM ; Kataoka, Tatsuki R ; Kawaguchi, Kosuke ; Khramtsov, Andrey I ; Kiraz, Umay ; Kirtani, Pawan ; Kodach, Liudmila L ; Korski, Konstanty ; Akturk, Guray ; Scott, Ely ; Lænkholm, Anne‐Vibeke ; Lennerz, Jochen K ; Lerousseau, Marvin ; Li, Xiaoxian ; Maley, Sai K ; Manur Narasimhamurthy, Vidya ; Marks, Douglas K ; Mehrotra, Ravi ; Michiels, Stefan ; Minhas, Fayyaz ul Amir Afsar ; Moore, David A ; Mushtaq, Shamim ; Nighat, Hussain ; Papathomas, Thomas ; Penault‐Llorca, Frederique ; Pinard, Christopher J ; Pinto‐Cardenas, Juan Carlos ; Pruneri, Giancarlo ; Rau, Tilman T ; Rimm, David ; Vincent‐Salomon, Anne ; Saltz, Joel ; Sayed, Shahin ; Hytopoulos, Evangelos ; Sotiriou, Christos ; Sur, Daniel ; Tanaka, Sunao ; Taxter, Timothy ; Tejpar, Sabine ; Teuwen, Jonas ; Thompson, E Aubrey ; Tramm, Trine ; Tran, William T ; Laak, Jeroen ; Verghese, Gregory E ; Viale, Giuseppe ; Wahab, Noorul ; Walter, Thomas ; Wen, Hannah Y ; Bartlett, John ; Loibl, Sibylle ; Denkert, Carsten ; Savas, Peter ; Loi, Sherene ; Specht Stovgaard, Elisabeth ; Rahman, Arman

The Journal of pathology, 2024-03, Vol.262 (3), p.271-288 [Periódico revisado por pares]

Chichester, UK: John Wiley & Sons, Ltd

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10
Attention De-sparsification Matters: Inducing Diversity in Digital Pathology Representation Learning
Attention De-sparsification Matters: Inducing Diversity in Digital Pathology Representation Learning
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Attention De-sparsification Matters: Inducing Diversity in Digital Pathology Representation Learning

Kapse, Saarthak ; Das, Srijan ; Zhang, Jingwei ; Gupta, Rajarsi R ; Saltz, Joel ; Samaras, Dimitris ; Prasanna, Prateek

arXiv.org, 2023-09

Ithaca: Cornell University Library, arXiv.org

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Deste Autor:

  1. Zhao, T
  2. Santos, J
  3. Singh, P
  4. Carlotti Júnior, C
  5. Saltz, J

Neste Assunto:

  1. Science & Technology
  2. Life Sciences & Biomedicine
  3. Humans
  4. Pathology
  5. Deep Learning

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

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