Updates

Latest research publications, awards, conference organization, and professional milestones.

Sep 07, 2025 Thesis Presentation: After four years, I finally defended my PhD thesis on the 19th of September. Please see a sanitized version here.
Sep 06, 2025 Journal Publication: “The impact of U-Net architecture choices and skip connections on the robustness of segmentation across texture variations” accepted in Computers in Biology and Medicine! Read more.
Jun 26, 2025 Journal Publication: “Predicting the impact of target volume contouring variations on the organ at risk dose: results of a qualitative survey” accepted in Radiotherapy and Oncology (Green Journal)! Read more.
Apr 11, 2025 Innovation Fellowship: Selected as one of five University of Bern Venture Fellows for 2025-26, supporting entrepreneurial initiatives in technology transfer and innovation.
Mar 30, 2025 Educational Content: New video tutorial on integrating MONAI and MATLAB published on the MathWorks YouTube channel, demonstrating cross-platform deep learning workflows. Full tutorial.
Mar 14, 2025 Conference Success: Successfully organized BART 2025 - the inaugural Bern AI in RadioTherapy symposium. Featured 3 keynote speakers, 2 industry sponsors, 9 research posters, and ~100 international attendees.
Nov 30, 2024 Student Achievement: Zahira Mercado (my Master’s student advisee) won the CAIM Research Award in the Translation category for her outstanding contributions to ContourAId. Congratulations, Zahira!
Nov 07, 2024 International Recognition: Research presentation selected as one of 100 “lab” pitches from researchers across 60+ countries at the Falling Walls Science Summit 2024 - commemorating the 35th anniversary of the fall of the Berlin Wall.
Oct 07, 2024 Workshop Paper: “AutoDoseRank: Automated Dosimetry-Informed Segmentation Ranking for Radiotherapy” accepted at CaPTion@MICCAI Workshop. Learn more.
Jul 01, 2024 Research Publication: Our paper “Comparing the Performance of Radiation Oncologists versus a Deep Learning Dose Predictor” accepted for oral presentation at MIDL 2024 (18% acceptance rate, 36/217 submissions). Read more.
Jun 27, 2024 Research Presentation: Our work on “Comparing the Performance of Radiation Oncologists versus a Deep Learning Dose Predictor” was presented at the Uni Bern GCB Symposium 2024 in the full-talk track. Read more.
May 27, 2024 Conference Abstracts: Two abstracts accepted at IEEE ISBI 2024! Congratulations to Zahira Mercado for outstanding presentation as part of her Master’s thesis research.
Oct 08, 2023 Research Publications: Two papers accepted at MICCAI 2023 (Vancouver) - “Do we really need that skip connection?” (Early Accept, top 14%) and “Dose Guidance for Radiotherapy-oriented Deep Learning Segmentation”. Read more.
Jul 26, 2023 Research Recognition: Awarded 2nd place Best Student Paper at IEEE EMBC 2023 for “ASTRA: Atomic Surface Transformations for Radiotherapy quality Assurance”. Award announcement. “ASTRA: Atomic Surface Transformations for Radiotherapy quality Assurance” was accepted for oral presentation at IEEE EMBC 2023 in Sydney. Learn more.
Jun 05, 2023 Speaking Engagement: Invited to share “Young Researchers Tales” at the 8x8 event, Haus der Universität, organized by MVUB. Event highlights.
May 05, 2023 Conference Presentation: Presented dose prediction model sensitivity research at Bern Data Science Day 2023, advancing clinical AI validation methodologies. Event highlights.
Apr 18, 2023 Research Publication: “How sensitive are deep learning based radiotherapy dose prediction models to variability in Organs At Risk segmentation?” accepted at IEEE ISBI 2023 in Cartagena. Learn more. I am also delighted to attend the IEEE EMBS-SPS Summer School on Biomedical Imaging co-organized with ISBI 2023 in sunny Cartagena. Read more.
Mar 24, 2023 Event Organization: Leading BIAS 2023 - Bern Interpretable AI Symposium featuring distinguished keynote speakers, research posters, and industry collaboration. 140+ attendees from 5 countries. Event highlights.
Dec 02, 2022 Workshop Paper: Abstract accepted at Medical Imaging meets NeurIPS 2022 exploring context vs. foreground-background ratio trade-offs in 3D segmentation. Read more.
Nov 24, 2022 Research Recognition: Awarded the 2022 CAIM Research Award in the “Translational” category for outstanding contributions to medical AI research. Grateful for support from Be-Advanced!
Oct 27, 2022 Conference Presentation: Presented “Deep Dose Predictor” research at Swiss Society for Radiobiology and Medical Physics (SSRMP), advancing AI applications in radiotherapy planning. Presentation highlights.
Sep 10, 2022 Public Engagement: Demonstrated AI games (KI-Spiele) at Nacht der Forschung - University of Bern’s Night of Research public outreach event. Activity details.
Sep 03, 2022 Competition Success: Won the MICCAI Hackathon 2022, demonstrating innovative approaches to medical image analysis challenges. Repository, Presentation.
May 06, 2022 Conference Presentation: Poster presentation at Bern Data Science Day 2022. View poster.
Oct 15, 2021 PhD Journey Begins: Started doctoral studies in Biomedical Engineering at the Medical Image Analysis Lab, University of Bern, under Prof. Mauricio Reyes.
Jul 12, 2021 Conference Presentation: Delivered a short talk jointly with Julia Hoerner at MathWorks on “Brain Tumor Segmentation with MATLAB” at the MIUA 2021 conference, held virtually. For more details, visit MIUA 2021.
Dec 12, 2020 Academic Milestone: Completed Master’s degree in Computer Science (OMSCS) from Georgia Institute of Technology with 3.7/4.0 GPA. Got out with distinction!
Aug 12, 2020 Invited Short Talk: Delivered an invited short talk at MIT Manipal (online) during the i-True webinar on AI in Urology. For more details, watch the YouTube recording.
Oct 17, 2019 Conference Tutorial: Delivered a MathWorks hosted tutorial at IEEE Tencon 2019, which was the most attended tutorial among all those offered at the conference. For more details, visit IEEE Tencon 2019 Tutorials.
Aug 10, 2019 Pre-Conference Workshop: Delivered a workshop on deep learning at MIT Manipal as part of the IEEE DISCOVER 2019 pre-conference tutorials and workshops. The session covered foundational concepts and practical applications of deep learning.
For more details, visit IEEE DISCOVER 2019 Workshops.