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ORCIDEmily Kaczmarek
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2020 – today
- 2026
[i6]Asbjørn Munk, Stefano Cerri
, Vardan Nersesjan, Christian Hedeager Krag, Jakob Ambsdorf, Pablo Rocamora-García, Julia Machnio, Peirong Liu, Suhyun Ahn, Nasrin Akbari, Yasmina Al Khalil, Kimberly Amador, Sina Amirrajab, Tal Arbel, Meritxell Bach Cuadra, Ujjwal Baid, Bhakti Baheti, Jaume Banus, Kamil Barbierik, Christoph Brune, Yansong Bu, Baptiste Callard, Yuhan Chen, Cornelius Crijnen, Corentin Dancette, Peter Drotár, Prasad Dutande, Nils D. Forkert, Saurabh Garg, Jakub Gazda, Matej Gazda, Benoît Gérin, Partha Ghosh, Weikang Gong, Pedro M. Gordaliza, Sam Hashemi, Tobias Heimann, Fucang Jia, Jiexin Jiang, Emily Kaczmarek, Chris Kang, Seung Kwan Kang, Mohammad Khazaei, Julien Khlaut, Petros Koutsouvelis, Jae Sung Lee, Yuchong Li, Mengye Lyu, Mingchen Ma, Anant Madabhushi, Klaus H. Maier-Hein, Pierre Manceron, Andrés Martínez Mora, Moona Mazher, Felix Meister, Nataliia Molchanova, Steven A. Niederer, Leonard Nürnberg, Jinah Park, Abdul Qayyum, Jonas Richiardi, Antoine Saporta, Branislav Setlák, Ning Shen, Justin Szeto, Constantin Ulrich, Puru Vaish, Vibujithan Vigneshwaran, Leroy Volmer, Zihao Wang, Siqi Wei, Anthony J. Winder, Jelmer M. Wolterink, Maxence Wynen, Chang Yang, Si Young Yie, Mostafa Mehdipour-Ghazi, Akshay Pai, Espen Jimenez-Solem, Sebastian Nørgaard Llambias, Mikael Boesen, Michael Eriksen Benros, Juan Eugenio Iglesias, Mads Nielsen:
Towards Brain MRI Foundation Models for the Clinic: Findings from the FOMO25 Challenge. CoRR abs/2604.11679 (2026)- 2025
- [c3]Emily Kaczmarek, Justin Szeto, Brennan Nichyporuk, Tal Arbel:
Building a General SimCLR Self-Supervised Foundation Model Across Neurological Diseases to Advance 3D Brain MRI Diagnoses. ICCVW 2025: 1321-1330 - [c2]Emily Kaczmarek, Justin Szeto, Brennan Nichyporuk, Tal Arbel:
SSL-AD: Spatiotemporal Self-supervised Learning for Generalizability and Adaptability Across Alzheimer's Prediction Tasks and Datasets. LMID@MICCAI 2025: 1-12 - [i5]Gian Mario Favero, Parham Saremi, Emily Kaczmarek, Brennan Nichyporuk, Tal Arbel:
Conditional Diffusion Models are Medical Image Classifiers that Provide Explainability and Uncertainty for Free. CoRR abs/2502.03687 (2025) - [i4]Emily Kaczmarek, Justin Szeto, Brennan Nichyporuk, Tal Arbel:
SSL-AD: Spatiotemporal Self-Supervised Learning for Generalizability and Adaptability Across Alzheimer's Prediction Tasks and Datasets. CoRR abs/2509.10453 (2025) - [i3]Emily Kaczmarek, Justin Szeto, Brennan Nichyporuk, Tal Arbel:
Building a General SimCLR Self-Supervised Foundation Model Across Neurological Diseases to Advance 3D Brain MRI Diagnoses. CoRR abs/2509.10620 (2025) - 2023
- [i2]Emily Kaczmarek, Olivier X. Miguel, Alexa C. Bowie, Robin Ducharme, Alysha L. J. Dingwall-Harvey, Steven Hawken, Christine M. Armour, Mark C. Walker, Kevin Dick:
MetaCAM: Ensemble-Based Class Activation Map. CoRR abs/2307.16863 (2023) - [i1]Emily Kaczmarek, Olivier X. Miguel, Alexa C. Bowie, Robin Ducharme, Alysha L. J. Dingwall-Harvey, Steven Hawken, Christine M. Armour, Mark C. Walker, Kevin Dick:
CAManim: Animating end-to-end network activation maps. CoRR abs/2312.11772 (2023) - 2022
- [j1]Emily Kaczmarek, Jina Nanayakkara, Alireza Sedghi, Mehran Pesteie, Thomas Tuschl, Neil Renwick, Parvin Mousavi:
Topology preserving stratification of tissue neoplasticity using Deep Neural Maps and microRNA signatures. BMC Bioinform. 23(1): 38 (2022)
2010 – 2019
- 2019
- [c1]Emily Kaczmarek, Alexander Salgo, Hasan Zafari, Leanne Kosowan, Alexander Singer, Farhana H. Zulkernine:
Diagnosing PTSD using electronic medical records from canadian primary care data. NSysS 2019: 23-29
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