The ACROBAT 2022 Challenge: Automatic Registration Of Breast Cancer Tissue

Authors: Weitz, Philippe, Valkonen, Masi, Solorzano, Leslie, Carr, Circe, Kartasalo, Kimmo, Boissin, Constance, Koivukoski, Sonja, Kuusela, Aino, Rasic, Dusan, Feng, Yanbo, Pouplier, Sandra Sinius, Sharma, Abhinav, Eriksson, Kajsa Ledesma, Robertson, Stephanie, Marzahl, Christian, Gatenbee, Chandler D., Anderson, Alexander R. A., Wodzinski, Marek, Jurgas, Artur, Marini, Niccolò, Atzori, Manfredo, Müller, Henning, Budelmann, Daniel, Weiss, Nick, Heldmann, Stefan, Lotz, Johannes, Wolterink, Jelmer M., De Santi, Bruno, Patil, Abhijeet, Sethi, Amit, Kondo, Satoshi, Kasai, Satoshi, Hirasawa, Kousuke, Farrokh, Mahtab, Kumar, Neeraj, Greiner, Russell, Latonen, Leena, Laenkholm, Anne-Vibeke, Hartman, Johan, Ruusuvuori, Pekka, Rantalainen, Mattias

Subject Terms: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition

Access URL: http://arxiv.org/abs/2305.18033

Increasing the usefulness of already existing annotations through WSI registration

Authors: Weitz, Philippe, Sartor, Viktoria, Acs, Balazs, Robertson, Stephanie, Budelmann, Daniel, Hartman, Johan, Rantalainen, Mattias

Subject Terms: Computer Science - Computer Vision and Pattern Recognition, Electrical Engineering and Systems Science - Image and Video Processing

Access URL: http://arxiv.org/abs/2303.06727

An investigation of attention mechanisms in histopathology whole-slide-image analysis for regression objectives

Authors: Weitz, Philippe, Wang, Yinxi, Hartman, Johan, Rantalainen, Mattias

Source: 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) ICCVW Computer Vision Workshops (ICCVW), 2021 IEEE/CVF International Conference on. :611-619 Oct, 2021

Relation: 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)

ACROBAT -- a multi-stain breast cancer histological whole-slide-image data set from routine diagnostics for computational pathology

Authors: Weitz, Philippe, Valkonen, Masi, Solorzano, Leslie, Carr, Circe, Kartasalo, Kimmo, Boissin, Constance, Koivukoski, Sonja, Kuusela, Aino, Rasic, Dusan, Feng, Yanbo, Pouplier, Sandra Kristiane Sinius, Sharma, Abhinav, Eriksson, Kajsa Ledesma, Latonen, Leena, Laenkholm, Anne-Vibeke, Hartman, Johan, Ruusuvuori, Pekka, Rantalainen, Mattias

Subject Terms: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning, Quantitative Biology - Quantitative Methods

Access URL: http://arxiv.org/abs/2211.13621

Radiomic Feature Stability Analysis Based on Probabilistic Segmentations

Authors: Haarburger, Christoph, Schock, Justus, Truhn, Daniel, Weitz, Philippe, Mueller-Franzes, Gustav, Weninger, Leon, Merhof, Dorit

Source: 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI) Biomedical Imaging (ISBI), 2020 IEEE 17th International Symposium on. :1188-1192 Apr, 2020

Relation: 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)

The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue

Authors: Weitz, Philippe, Valkonen, Masi, Solorzano, Leslie, Carr, Circe, Kartasalo, Kimmo, Boissin, Constance, Koivukoski, Sonja, Kuusela, Aino, Rasic, Dusan, Feng, Yanbo, Pouplier, Sandra Sinius, Sharma, Abhinav, Eriksson, Kajsa Ledesma, Robertson, Stephanie, Marzahl, Christian, Gatenbee, Chandler D., Anderson, Alexander R.A., Wodzinski, Marek, Jurgas, Artur, Marini, Niccolò, Atzori, Manfredo, Müller, Henning, Budelmann, Daniel, Weiss, Nick, Heldmann, Stefan, Lotz, Johannes, Wolterink, Jelmer M., De Santi, Bruno, Patil, Abhijeet, Sethi, Amit, Kondo, Satoshi, Kasai, Satoshi, Hirasawa, Kousuke, Farrokh, Mahtab, Kumar, Neeraj, Greiner, Russell, Latonen, Leena, Laenkholm, Anne-Vibeke, Hartman, Johan, Ruusuvuori, Pekka, Rantalainen, Mattias

Source: In Medical Image Analysis October 2024 97

Using deep learning to detect patients at risk for prostate cancer despite benign biopsies

Authors: Liu, Bojing, Wang, Yinxi, Weitz, Philippe, Lindberg, Johan, Hartman, Johan, Egevad, Lars, Grönberg, Henrik, Eklund, Martin, Rantalainen, Mattias

Subject Terms: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition, Quantitative Biology - Quantitative Methods

Access URL: http://arxiv.org/abs/2106.14256

Image-Based Survival Prediction for Lung Cancer Patients Using CNNS

Authors: Haarburger, Christoph, Weitz, Philippe, Rippel, Oliver, Merhof, Dorit

Source: 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019) Biomedical Imaging (ISBI 2019), 2019 IEEE 16th International Symposium on. :1197-1201 Apr, 2019

Relation: 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI)

Transcriptome-wide prediction of prostate cancer gene expression from histopathology images using co-expression based convolutional neural networks

Authors: Weitz, Philippe, Wang, Yinxi, Kartasalo, Kimmo, Egevad, Lars, Lindberg, Johan, Grönberg, Henrik, Eklund, Martin, Rantalainen, Mattias

Subject Terms: Computer Science - Computer Vision and Pattern Recognition

Access URL: http://arxiv.org/abs/2104.09310

Radiomic Feature Stability Analysis based on Probabilistic Segmentations

Authors: Haarburger, Christoph, Schock, Justus, Truhn, Daniel, Weitz, Philippe, Mueller-Franzes, Gustav, Weninger, Leon, Merhof, Dorit

Subject Terms: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition

Access URL: http://arxiv.org/abs/1910.05693

Transcriptome-wide prediction of prostate cancer gene expression from histopathology images using co-expression-based convolutional neural networks

Authors: Weitz, Philippe, Wang, Yinxi, Kartasalo, Kimmo, Egevad, Lars, Lindberg, Johan, Grönberg, Henrik, Eklund, Martin, Rantalainen, Mattias

Source: Bioinformatics. 38(13):3462-3469

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100157630260.0x000001&indx=1&recIds=ETOCvdc_100157630260.0x000001

Deep learning-based risk stratification of preoperative breast biopsies using digital whole slide images.

Authors: Boissin, Constance, Wang, Yinxi, Sharma, Abhinav, Weitz, Philippe, Karlsson, Emelie, Robertson, Stephanie, Hartman, Johan, Rantalainen, Mattias

Source: Breast Cancer Research; 6/3/2024, Vol. 26 Issue 1, p1-11, 11p

Subject Terms: BREAST biopsy, CONVOLUTIONAL neural networks, ARTIFICIAL neural networks, PROPORTIONAL hazards models

Geographic Terms: NOTTINGHAM (England), STOCKHOLM (Sweden)

Development and prognostic validation of a three-level NHG-like deep learning-based model for histological grading of breast cancer.

Authors: Sharma, Abhinav, Weitz, Philippe, Wang, Yinxi, Liu, Bojing, Vallon-Christersson, Johan, Hartman, Johan, Rantalainen, Mattias

Source: Breast Cancer Research; 1/29/2024, Vol. 26, p1-13, 13p

Subject Terms: CONVOLUTIONAL neural networks, BREAST cancer, CLINICAL decision support systems, DEEP learning, PROGNOSIS, AGE factors in cancer

A Multi-Stain Breast Cancer Histological Whole-Slide-Image Data Set from Routine Diagnostics.

Authors: Weitz, Philippe, Valkonen, Masi, Solorzano, Leslie, Carr, Circe, Kartasalo, Kimmo, Boissin, Constance, Koivukoski, Sonja, Kuusela, Aino, Rasic, Dusan, Feng, Yanbo, Sinius Pouplier, Sandra, Sharma, Abhinav, Ledesma Eriksson, Kajsa, Latonen, Leena, Laenkholm, Anne-Vibeke, Hartman, Johan, Ruusuvuori, Pekka, Rantalainen, Mattias

Source: Scientific Data; 8/24/2023, Vol. 10 Issue 1, p1-6, 6p

Subject Terms: BREAST, BREAST cancer, CANCER patients, IMAGE analysis, SURGICAL excision, TISSUE analysis

This result is not displayed to guests.
Login for full access.