luca

Luca Weishaupt

B.Sc. Student
Physics & Computer Science
Artificial Intelligence Group
+1 (914) 486-4460
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Bio

Luca was born and raised in Germany and completed a DIAB (German Abitur and high school diploma) at the German International School New York after moving to the United States. He is in the last year of his undergraduate degree with a Major in Physics and a Minor in Computer Science at McGill University. Luca joined Enger Lab in the first year of his undergraduate studies in 2018 and has been working on deep learning-based medical image analysis and treatment planning optimization.

Current Projects

Multimodal Treatment Outcome Prediction
Luca is developing a deep learning-based, multi-modal treatment outcome prediction model for endorectal cancer patients. The project combines radiomics with deep learning to increase prediction accuracy, increase efficiency, and eliminate human error to enable patient-specific treatment selection.
Tumor segmentation in endoscopy images
Luca is investigating the inter-observer variability of the manual segmentation of tumor regions in endoscopy images and its effect on treatment outcomes. Furthermore, Luca is developing a deep learning-based segmentation tool that can learn from multiple observers labels with high inter-observer variability.
McMedHacks – Medical Image Analysis and Deep Learning in Python
Luca is the co-director and founder of McMedHacks, which is an 8-week educational program about medical image analysis and deep learning in Python. McMedHacks consists of presentations from leaders in industry and academia, workshops from researchers in deep learning-based medical image analysis, and a hackathon. McMedHacks 2021 has 365 registered participants from 38 countries ranging from undergraduates to PhDs and MDs. The growing McMedHacks team consists of students from Enger Lab as well as collaborators from around the world with more than 30 members.
McMedHacks

2021

Weishaupt, Luca L.

T I Gurman Prize in Physics Award

from McGill University in 2021.

Abstract | Links | BibTeX

Weishaupt, Luca L.; Thibodeau-Antonacci, Alana; Garant, Aurelie; Singh, Kelita; Miller, Corey; Vuong, Té; Enger, Shirin A.

Deep learning based tumor segmentation of endoscopy images for rectal cancer patients Presentation

ESTRO Annual meeting, 27.08.2021.

Abstract | Links | BibTeX

Thibodeau-Antonacci, Alana; Jafarzadeh, Hossein; Carroll, Liam; Weishaupt, Luca L.

Mitacs Globalink Research Award Award

from MITACS in 2021.

Abstract | Links | BibTeX

Weishaupt, Luca L.; Thibodeau-Antonacci, Alana; Garant, Aurelie; Singh, Kelita; Miller, Corey; Vuong, Té; Enger, Shirin A.

Inter-Observer Variability and Deep Learning in Rectal Tumor Segmentation from Endoscopy Images Presentation

The COMP Annual Scientific Meeting 2021, 22.06.2021.

Abstract | BibTeX

Weishaupt, Luca L.; Torres, Jose; Camilleri-Broët, Sophie; Rayes, Roni F.; Spicer, Jonathan D.; Maldonado, Sabrina Côté; Enger, Shirin A.

Deep learning-based tumor segmentation on digital images of histopathology slides for microdosimetry applications Journal Article

In: arXiv:2105.01824 [physics], 2021, (arXiv: 2105.01824).

Abstract | Links | BibTeX

Weishaupt, Luca L.

Fire-Up - Radiation Treatment Outcome Prediction Presentation

Fire-Up Presentation, 09.02.2021.

BibTeX

Deufel, Christopher; Weishaupt, Luca L.; Sayed, Hisham Kamal; Choo, Chunhee; Stish, Bradley

Deep learning for automated applicator reconstruction in high-dose-rate prostate brachytherapy Journal Article

In: World Congress of Brachytherapy 2021, 2021, (Type: Journal Article).

Links | BibTeX

Weishaupt, Luca L.; Sayed, Hisham Kamal; Mao, Ximeng; Choo, Chunhee; Stish, Bradley; Enger, Shirin A.; Deufel, Christopher

Approaching automated applicator digitization from a new angle: using sagittal images to improve deep learning accuracy and robustness in high-dose-rate prostate brachytherapy Journal Article

In: 2021 ABS Annual Meeting, 2021, (Type: Journal Article).

BibTeX

2020

Weishaupt, Luca L.; Sayed, Hisham Kamal; Mao, Ximeng; Choo, Chunhee; Stish, Bradley; Enger, Shirin A.; Deufel, Christopher

Approaching automated applicator digitization from a new angle - Using sagittal images to improve deep learning accuracy and robustness in high-dose-rate prostate brachytherapy Presentation

12.06.2020, (Type: Journal Article).

Links | BibTeX

Weishaupt, Luca L.

Math And Physics Class Of 1965 Prize Award

from McGill University in 2020.

Abstract | BibTeX

Weishaupt, Luca L.; Torres, Jose; Camilleri-Broët, Sophie; Maldonado, Sabrina Côté; Enger, Shirin A.

Classification and Segmentation of Tumor Cells and Nuclei On Biopsy Slides Using Deep Learning for Microdosimetry Applications Journal Article

In: 2020 Joint AAPM textbar COMP Virtual Meeting, 2020, (Type: Journal Article).

Abstract | Links | BibTeX