Jean-Philippe Thiran
Full Professor
Leads LTS5, working on medical image analysis, diffusion MRI and deep learning for image processing.
Jean-Philippe Thiran's lab at EPFL works on image & video generation and medical image analysis. 35 papers since 2023, 11 at top venues, mostly ICLR and ISBI. 9 PhD students. 52 alumni. Applications close .
At a glance
- papers, 2023–2026
- 9/ year
- at T1 venues
- 31%
- PhD students
- 9
- MS students
- 0
- alumni listed
- 52
Papers by yearfrom DBLP, 2023–2026
- 2 papers2026 · T1 0 · collecting
- 7 papers2025 · T1 4
- 15 papers2024 · T1 3
- 11 papers2023 · T1 4
T1 venuesOtherVenues: ICLR, ISBI, CVPR, AAAI, ICCV
Research focuspaper titles that use each topic's words
- Image & video generation3 papers
- Medical image analysis3 papers
- image3 papers
- micro engineering0 papers
- iem0 papers
Paper list
From DBLP.
20262 papers
20257 papers
- IEEE Trans. Medical ImagingA Path-Based Model for Aberration Correction in Ultrasound Imaging (opens in a new tab)
- ICLR (T1)A Simple Framework for Open-Vocabulary Zero-Shot Segmentation (opens in a new tab)
- NeurIPS (T1)ReservoirTTA: Prolonged Test-time Adaptation for Evolving and Recurring Domains (opens in a new tab)
- ISBISlide-Level Prompt Learning with Vision Language Models for Few-Shot Multiple Instance Learning in Histopathology (opens in a new tab)
- Deep-Breath@MICCAITowards Early Detection: AI-Based Five-Year Forecasting of Breast Cancer Risk Using Digital Breast Tomosynthesis Imaging (opens in a new tab)
- ICLR (T1)Uncertainty modeling for fine-tuned implicit functions (opens in a new tab)
- ICLR (T1)What to align in multimodal contrastive learning? (opens in a new tab)
202415 papers
- IEEE Trans. Computational ImagingAn Inverse-Problem Approach to the Estimation of Despeckled and Deconvolved Images From Radio-Frequency Signals in Pulse-Echo Ultrasound (opens in a new tab)
- AAAI (T1)Combining Graph Transformers Based Multi-Label Active Learning and Informative Data Augmentation for Chest Xray Classification (opens in a new tab)
- ISBIComparing Steam and PGSE Diffusion MRI Signal of RAT Lymph Nodes Using In-Silico Simulations (opens in a new tab)
- ICLR (T1)CrIBo: Self-Supervised Learning via Cross-Image Object-Level Bootstrapping (opens in a new tab)
- ISBICross-Age and Cross-Site Domain Shift Impacts on Deep Learning-Based White Matter Fiber Estimation in Newborn and Baby Brains (opens in a new tab)
- IEEE Trans. Medical ImagingDistill-SODA: Distilling Self-Supervised Vision Transformer for Source-Free Open-Set Domain Adaptation in Computational Pathology (opens in a new tab)
- CDMRI@MICCAIGround-Truth Effects in Learning-Based Fiber Orientation Distribution Estimation in Neonatal Brains (opens in a new tab)
- ISBIIn-Silico Trained AI for Enhanced T2 Spectrum Imaging and Myelin Water Fraction Mapping in Preclinical 7T MRI (opens in a new tab)
- CaPTion@MICCAIMultimodal Deep Learning-Based Prediction of Immune Checkpoint Inhibitor Efficacy in Brain Metastases (opens in a new tab)
- EMBCPPG-Based Sleep Staging Using SleepPPGNet: Extension to Wearables, Improvements, Limitations (opens in a new tab)
- Comput. Biol. MedicineSelf-supervised learning-based cervical cytology for the triage of HPV-positive women in resource-limited settings and low-data regime (opens in a new tab)
- EUSIPCOSequential CNN-Based Enhancement of Ultrafast Ultrasound Imaging for Sparse Arrays (opens in a new tab)
202311 papers
- CinCA Comparative Study on Detecting Heart Beats in Photoplethysmography Signals in Presence of Various Cardiac Arrhythmias (opens in a new tab)
- J. ImagingA KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning (opens in a new tab)
- CinCAbnormal Cardiac Rhythm Detection Based on Photoplethysmography Signals and a Recurrent Neural Network (opens in a new tab)
- ICCV (T1)Adaptive Similarity Bootstrapping for Self-Distillation based Representation Learning (opens in a new tab)
- MICCAI (T1)AMAE: Adaptation of Pre-trained Masked Autoencoder for Dual-Distribution Anomaly Detection in Chest X-Rays (opens in a new tab)
- Frontiers NeuroinformaticsCACTUS: a computational framework for generating realistic white matter microstructure substrates (opens in a new tab)
- CVPR (T1)CrOC: Cross-View Online Clustering for Dense Visual Representation Learning (opens in a new tab)
- ISBIFederated Learning on Heterogeneous Diffusion-Weighted Imaging Data for Acute Stroke Infarct Segmentation (opens in a new tab)
- WACVScoreNet: Learning Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image Classification (opens in a new tab)
- CVPR (T1)TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation (opens in a new tab)
- NeuroImageTractography passes the test: Results from the diffusion-simulated connectivity (disco) challenge (opens in a new tab)
Where alumni went52 listed
Apply to EPFLFall 2027
EDIC Computer and Communication Sciences PhD
- Round
- Round 1
- Opens
- —
- GRE
- optional
- English
- TOEFL 100 / IELTS 7.0
- Fee
- none
Confirmed on the program page.
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