An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization
Shen, Yiqiu, Wu, Nan, Phang, Jason, Park, Jungkyu, Liu, Kangning, Tyagi, Sudarshini, Heacock, Laura, Kim, S. Gene, Moy, Linda, Cho, Kyunghyun, Geras, Krzysztof J.
Published in Medical image analysis (01.02.2021)
Published in Medical image analysis (01.02.2021)
Get full text
Journal Article
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
Wu, Nan, Phang, Jason, Park, Jungkyu, Shen, Yiqiu, Huang, Zhe, Zorin, Masha, Jastrzebski, Stanislaw, Fevry, Thibault, Katsnelson, Joe, Kim, Eric, Wolfson, Stacey, Parikh, Ujas, Gaddam, Sushma, Lin, Leng Leng Young, Ho, Kara, Weinstein, Joshua D., Reig, Beatriu, Gao, Yiming, Toth, Hildegard, Pysarenko, Kristine, Lewin, Alana, Lee, Jiyon, Airola, Krystal, Mema, Eralda, Chung, Stephanie, Hwang, Esther, Samreen, Naziya, Kim, S. Gene, Heacock, Laura, Moy, Linda, Cho, Kyunghyun, Geras, Krzysztof J.
Published in IEEE transactions on medical imaging (01.04.2020)
Published in IEEE transactions on medical imaging (01.04.2020)
Get full text
Journal Article
Reducing False-Positive Biopsies using Deep Neural Networks that Utilize both Local and Global Image Context of Screening Mammograms
Wu, Nan, Huang, Zhe, Shen, Yiqiu, Park, Jungkyu, Phang, Jason, Makino, Taro, Gene Kim, S., Cho, Kyunghyun, Heacock, Laura, Moy, Linda, Geras, Krzysztof J.
Published in Journal of digital imaging (01.12.2021)
Published in Journal of digital imaging (01.12.2021)
Get full text
Journal Article
The ISMRM Open Science Initiative for Perfusion Imaging (OSIPI): Results from the OSIPI-Dynamic Contrast-Enhanced challenge
Shalom, Eve S, Kim, Harrison, van der Heijden, Rianne A, Ahmed, Zaki, Patel, Reyna, Hormuth, 2nd, David A, DiCarlo, Julie C, Yankeelov, Thomas E, Sisco, Nicholas J, Dortch, Richard D, Stokes, Ashley M, Inglese, Marianna, Grech-Sollars, Matthew, Toschi, Nicola, Sahoo, Prativa, Singh, Anup, Verma, Sanjay K, Rathore, Divya K, Kazerouni, Anum S, Partridge, Savannah C, LoCastro, Eve, Paudyal, Ramesh, Wolansky, Ivan A, Shukla-Dave, Amita, Schouten, Pepijn, Gurney-Champion, Oliver J, Jiřík, Radovan, Macíček, Ondřej, Bartoš, Michal, Vitouš, Jiří, Das, Ayesha Bharadwaj, Kim, S Gene, Bokacheva, Louisa, Mikheev, Artem, Rusinek, Henry, Berks, Michael, Hubbard Cristinacce, Penny L, Little, Ross A, Cheung, Susan, O'Connor, James P B, Parker, Geoff J M, Moloney, Brendan, LaViolette, Peter S, Bobholz, Samuel, Duenweg, Savannah, Virostko, John, Laue, Hendrik O, Sung, Kyunghyun, Nabavizadeh, Ali, Saligheh Rad, Hamidreza, Hu, Leland S, Sourbron, Steven, Bell, Laura C, Fathi Kazerooni, Anahita
Published in Magnetic resonance in medicine (01.05.2024)
Published in Magnetic resonance in medicine (01.05.2024)
Get full text
Journal Article
Breast Density Classification with Deep Convolutional Neural Networks
Wu, Nan, Geras, Krzysztof J., Shen, Yiqiu, Su, Jingyi, Kim, S. Gene, Kim, Eric, Wolfson, Stacey, Moy, Linda, Cho, Kyunghyun
Published in 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (01.04.2018)
Published in 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (01.04.2018)
Get full text
Conference Proceeding
Considerations and recommendations from the ISMRM Diffusion Study Group for preclinical diffusion MRI: Part 3 -- Ex vivo imaging: data processing, comparisons with microscopy, and tractography
Schilling, Kurt G, Howard, Amy FD, Grussu, Francesco, Ianus, Andrada, Hansen, Brian, Barrett, Rachel L C, Aggarwal, Manisha, Michielse, Stijn, Nasrallah, Fatima, Syeda, Warda, Wang, Nian, Veraart, Jelle, Roebroeck, Alard, Bagdasarian, Andrew F, Eichner, Cornelius, Sepehrband, Farshid, Zimmermann, Jan, Soustelle, Lucas, Bowman, Christien, Tendler, Benjamin C, Hertanu, Andreea, Jeurissen, Ben, Verhoye, Marleen, Frydman, Lucio, van de Looij, Yohan, Hike, David, Dunn, Jeff F, Miller, Karla, Landman, Bennett A, Shemesh, Noam, Anderson, Adam, McKinnon, Emilie, Farquharson, Shawna, Acqua, Flavio Dell', Pierpaoli, Carlo, Drobnjak, Ivana, Leemans, Alexander, Harkins, Kevin D, Descoteaux, Maxime, Xu, Duan, Huang, Hao, Santin, Mathieu D, Grant, Samuel C, Obenaus, Andre, Kim, Gene S, Wu, Dan, Bihan, Denis Le, Blackband, Stephen J, Ciobanu, Luisa, Fieremans, Els, Bai, Ruiliang, Leergaard, Trygve B, Zhang, Jiangyang, Dyrby, Tim B, Johnson, G Allan, Cohen-Adad, Julien, Budde, Matthew D, Jelescu, Ileana O
Year of Publication 24.10.2024
Year of Publication 24.10.2024
Get full text
Journal Article
Improving localization-based approaches for breast cancer screening exam classification
Févry, Thibault, Phang, Jason, Wu, Nan, Kim, S. Gene, Moy, Linda, Cho, Kyunghyun, Geras, Krzysztof J
Year of Publication 01.08.2019
Year of Publication 01.08.2019
Get full text
Journal Article
Reducing false-positive biopsies with deep neural networks that utilize local and global information in screening mammograms
Wu, Nan, Huang, Zhe, Shen, Yiqiu, Park, Jungkyu, Phang, Jason, Makino, Taro, Kim, S. Gene, Cho, Kyunghyun, Heacock, Laura, Moy, Linda, Geras, Krzysztof J
Year of Publication 19.09.2020
Year of Publication 19.09.2020
Get full text
Journal Article
Screening Mammogram Classification with Prior Exams
Park, Jungkyu, Phang, Jason, Shen, Yiqiu, Wu, Nan, Kim, S. Gene, Moy, Linda, Cho, Kyunghyun, Geras, Krzysztof J
Year of Publication 30.07.2019
Year of Publication 30.07.2019
Get full text
Journal Article
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization
Shen, Yiqiu, Wu, Nan, Phang, Jason, Park, Jungkyu, Liu, Kangning, Tyagi, Sudarshini, Heacock, Laura, Kim, S. Gene, Moy, Linda, Cho, Kyunghyun, Geras, Krzysztof J
Year of Publication 13.02.2020
Year of Publication 13.02.2020
Get full text
Journal Article
Considerations and recommendations from the ISMRM Diffusion Study Group for preclinical diffusion MRI: Part 2 -- Ex vivo imaging: added value and acquisition
Schilling, Kurt G, Grussu, Francesco, Ianus, Andrada, Hansen, Brian, Howard, Amy FD, Barrett, Rachel L C, Aggarwal, Manisha, Michielse, Stijn, Nasrallah, Fatima, Syeda, Warda, Wang, Nian, Veraart, Jelle, Roebroeck, Alard, Bagdasarian, Andrew F, Eichner, Cornelius, Sepehrband, Farshid, Zimmermann, Jan, Soustelle, Lucas, Bowman, Christien, Tendler, Benjamin C, Hertanu, Andreea, Jeurissen, Ben, Frydman, Lucio, van de Looij, Yohan, Hike, David, Dunn, Jeff F, Miller, Karla, Landman, Bennett A, Shemesh, Noam, Anderson, Adam, McKinnon, Emilie, Farquharson, Shawna, Acqua, Flavio Dell', Pierpaoli, Carlo, Drobnjak, Ivana, Leemans, Alexander, Harkins, Kevin D, Descoteaux, Maxime, Xu, Duan, Huang, Hao, Santin, Mathieu D, Grant, Samuel C, Obenaus, Andre, Kim, Gene S, Wu, Dan, Bihan, Denis Le, Blackband, Stephen J, Ciobanu, Luisa, Fieremans, Els, Bai, Ruiliang, Leergaard, Trygve, Zhang, Jiangyang, Dyrby, Tim B, Johnson, G Allan, Cohen-Adad, Julien, Budde, Matthew D, Jelescu, Ileana O
Year of Publication 27.09.2022
Year of Publication 27.09.2022
Get full text
Journal Article
Recommendations and guidelines from the ISMRM Diffusion Study Group for preclinical diffusion MRI: Part 1 -- In vivo small-animal imaging
Jelescu, Ileana O, Grussu, Francesco, Ianus, Andrada, Hansen, Brian, Barrett, Rachel L C, Aggarwal, Manisha, Michielse, Stijn, Nasrallah, Fatima, Syeda, Warda, Wang, Nian, Veraart, Jelle, Roebroeck, Alard, Bagdasarian, Andrew F, Eichner, Cornelius, Sepehrband, Farshid, Zimmermann, Jan, Soustelle, Lucas, Bowman, Christien, Tendler, Benjamin C, Hertanu, Andreea, Jeurissen, Ben, Verhoye, Marleen, Frydman, Lucio, van de Looij, Yohan, Hike, David, Dunn, Jeff F, Miller, Karla, Landman, Bennett A, Shemesh, Noam, Anderson, Adam, McKinnon, Emilie, Farquharson, Shawna, Acqua, Flavio Dell', Pierpaoli, Carlo, Drobnjak, Ivana, Leemans, Alexander, Harkins, Kevin D, Descoteaux, Maxime, Xu, Duan, Huang, Hao, Santin, Mathieu D, Grant, Samuel C, Obenaus, Andre, Kim, Gene S, Wu, Dan, Bihan, Denis Le, Blackband, Stephen J, Ciobanu, Luisa, Fieremans, Els, Bai, Ruiliang, Leergaard, Trygve B, Zhang, Jiangyang, Dyrby, Tim B, Johnson, G Allan, Cohen-Adad, Julien, Budde, Matthew D, Schilling, Kurt G
Year of Publication 26.09.2022
Year of Publication 26.09.2022
Get full text
Journal Article
Breast density classification with deep convolutional neural networks
Wu, Nan, Geras, Krzysztof J, Shen, Yiqiu, Su, Jingyi, Kim, S. Gene, Kim, Eric, Wolfson, Stacey, Moy, Linda, Cho, Kyunghyun
Year of Publication 09.11.2017
Year of Publication 09.11.2017
Get full text
Journal Article
Considerations and recommendations from the ISMRM Diffusion Study Group for preclinical diffusion MRI: Part 3 -- Ex vivo imaging: data processing, comparisons with microscopy, and tractography
Schilling, Kurt G, Howard, Amy FD, Grussu, Francesco, Andrada Ianus, Hansen, Brian, Barrett, Rachel L C, Aggarwal, Manisha, Michielse, Stijn, Nasrallah, Fatima, Warda Syeda, Wang, Nian, Veraart, Jelle, Alard Roebroeck, Bagdasarian, Andrew F, Eichner, Cornelius, Sepehrband, Farshid, Zimmermann, Jan, Lucas Soustelle, Bowman, Christien, Tendler, Benjamin C, Hertanu, Andreea, Jeurissen, Ben, Verhoye, Marleen, Frydman, Lucio, Yohan van de Looij, Hike, David, Dunn, Jeff F, Miller, Karla, Landman, Bennett A, Shemesh, Noam, Anderson, Adam, McKinnon, Emilie, Farquharson, Shawna, Flavio Dell' Acqua, Pierpaoli, Carlo, Drobnjak, Ivana, Leemans, Alexander, Harkins, Kevin D, Descoteaux, Maxime, Xu, Duan, Huang, Hao, Santin, Mathieu D, Grant, Samuel C, Obenaus, Andre, Kim, Gene S, Wu, Dan, Denis Le Bihan, Blackband, Stephen J, Ciobanu, Luisa, Fieremans, Els, Bai, Ruiliang, Leergaard, Trygve B, Zhang, Jiangyang, Dyrby, Tim B, Johnson, G Allan, Cohen-Adad, Julien, Budde, Matthew D, Jelescu, Ileana O
Published in arXiv.org (24.10.2024)
Get full text
Published in arXiv.org (24.10.2024)
Paper
Considerations and recommendations from the ISMRM Diffusion Study Group for preclinical diffusion MRI: Part 2 -- Ex vivo imaging: added value and acquisition
Schilling, Kurt G, Grussu, Francesco, Andrada Ianus, Hansen, Brian, Howard, Amy FD, Barrett, Rachel L C, Aggarwal, Manisha, Michielse, Stijn, Nasrallah, Fatima, Warda Syeda, Wang, Nian, Veraart, Jelle, Alard Roebroeck, Bagdasarian, Andrew F, Eichner, Cornelius, Sepehrband, Farshid, Zimmermann, Jan, Lucas Soustelle, Bowman, Christien, Tendler, Benjamin C, Hertanu, Andreea, Jeurissen, Ben, Frydman, Lucio, Yohan van de Looij, Hike, David, Dunn, Jeff F, Miller, Karla, Landman, Bennett A, Shemesh, Noam, Anderson, Adam, McKinnon, Emilie, Farquharson, Shawna, Flavio Dell' Acqua, Pierpaoli, Carlo, Drobnjak, Ivana, Leemans, Alexander, Harkins, Kevin D, Descoteaux, Maxime, Xu, Duan, Huang, Hao, Santin, Mathieu D, Grant, Samuel C, Obenaus, Andre, Kim, Gene S, Wu, Dan, Denis Le Bihan, Blackband, Stephen J, Ciobanu, Luisa, Fieremans, Els, Bai, Ruiliang, Leergaard, Trygve, Zhang, Jiangyang, Dyrby, Tim B, Johnson, G Allan, Cohen-Adad, Julien, Budde, Matthew D, Jelescu, Ileana O
Published in arXiv.org (24.10.2024)
Get full text
Published in arXiv.org (24.10.2024)
Paper
Recommendations and guidelines from the ISMRM Diffusion Study Group for preclinical diffusion MRI: Part 1 -- In vivo small-animal imaging
Jelescu, Ileana O, Grussu, Francesco, Andrada Ianus, Hansen, Brian, Barrett, Rachel L C, Aggarwal, Manisha, Michielse, Stijn, Nasrallah, Fatima, Warda Syeda, Wang, Nian, Veraart, Jelle, Alard Roebroeck, Bagdasarian, Andrew F, Eichner, Cornelius, Sepehrband, Farshid, Zimmermann, Jan, Lucas Soustelle, Bowman, Christien, Tendler, Benjamin C, Hertanu, Andreea, Jeurissen, Ben, Verhoye, Marleen, Frydman, Lucio, Yohan van de Looij, Hike, David, Dunn, Jeff F, Miller, Karla, Landman, Bennett A, Shemesh, Noam, Anderson, Adam, McKinnon, Emilie, Farquharson, Shawna, Flavio Dell' Acqua, Pierpaoli, Carlo, Drobnjak, Ivana, Leemans, Alexander, Harkins, Kevin D, Descoteaux, Maxime, Xu, Duan, Huang, Hao, Santin, Mathieu D, Grant, Samuel C, Obenaus, Andre, Kim, Gene S, Wu, Dan, Denis Le Bihan, Blackband, Stephen J, Ciobanu, Luisa, Fieremans, Els, Bai, Ruiliang, Leergaard, Trygve B, Zhang, Jiangyang, Dyrby, Tim B, Johnson, G Allan, Cohen-Adad, Julien, Budde, Matthew D, Schilling, Kurt G
Published in arXiv.org (13.08.2024)
Get full text
Published in arXiv.org (13.08.2024)
Paper
High-Resolution Breast Cancer Screening with Multi-View Deep Convolutional Neural Networks
Geras, Krzysztof J, Wolfson, Stacey, Shen, Yiqiu, Wu, Nan, Kim, S. Gene, Kim, Eric, Heacock, Laura, Parikh, Ujas, Moy, Linda, Cho, Kyunghyun
Year of Publication 21.03.2017
Year of Publication 21.03.2017
Get full text
Journal Article
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
Wu, Nan, Phang, Jason, Park, Jungkyu, Shen, Yiqiu, Huang, Zhe, Zorin, Masha, Jastrzębski, Stanisław, Févry, Thibault, Katsnelson, Joe, Kim, Eric, Wolfson, Stacey, Parikh, Ujas, Gaddam, Sushma, Lin, Leng Leng Young, Ho, Kara, Weinstein, Joshua D, Reig, Beatriu, Gao, Yiming, Toth, Hildegard, Pysarenko, Kristine, Lewin, Alana, Lee, Jiyon, Airola, Krystal, Mema, Eralda, Chung, Stephanie, Hwang, Esther, Samreen, Naziya, Kim, S. Gene, Heacock, Laura, Moy, Linda, Cho, Kyunghyun, Geras, Krzysztof J
Year of Publication 19.03.2019
Year of Publication 19.03.2019
Get full text
Journal Article