Image Deconvolution Professors and Supervisors

Yasodha Natkunamمشاهده پروفایل

استاد

Stanford UniversityUnited States

Hematopathology
Lymphoma
Leukemia
+۵ مورد دیگر

Dr. Yasodha Natkunam is the Ronald F. Dorfman, MBBch, FRCPath Professor of Hematopathology at Stanford University School of Medicine, where she serves as Professor in the Department of Pathology. She is also a member of both the Maternal & Child Health Research Institute (MCHRI) and Stanford Cancer Institute. Dr. Natkunam has over 20 years of experience in hematopathology diagnostic services at Stanford Health and Stanford Children's Health. Her educational background includes: AB in Biology from Bryn Mawr College (1987) PhD in Molecular Biology from Mount Sinai School of Medicine (1993) MD from Mount Sinai School of Medicine (1995) Pathology Residency at Stanford University (1999) Board Certification in Anatomic Pathology from the American Board of Pathology (1998) Dr. Natkunam is an expert in the diagnosis of hematopoietic tumors including lymphoma and leukemia. Her research focuses on refining the diagnosis and prognosis of patients with hematopoietic tumors, furnishing novel reagents, diagnostic criteria and guidelines for clinical practice. She studies the tissue expression pattern of proteins that are of potential interest for the diagnosis, prognostic stratification and therapy of patients with lymphoma and leukemia, with particular interest in prognostic markers in diffuse large B-cell lymphoma and the immunodiagnostic and molecular characterization of rare and aggressive hematopoietic tumors. Her extensive publication record demonstrates a strong focus on lymphoma subtypes, biomarker discovery, and immunotherapy targets. Recent work has centered on CD47 expression patterns, spatial phenotyping of lymphomas, and novel therapeutic targets like TIGIT. Her research shows an evolution from basic diagnostic criteria toward more sophisticated molecular and spatial analyses of tumor microenvironments. Dr. Natkunam has received numerous honors and awards throughout her career: Undergraduate Research Award, Charles A. Dana Foundation (1986) Medical Scientist Training Program, Mount Sinai School of Medicine (1987-1995) Weill Memorial Fellow in Cancer Research (1993) Shalit Fellow at John Radcliffe Hospital, Oxford (2006) International Cancer Technology Transfer Award (2010) Multiple Faculty Teaching Awards from the Department of Pathology at Stanford (2016, 2017, 2019, 2021) Ronald F. Dorfman, MBBS, FRCPath Professorship in Hematopathology (2018) Dr. Natkunam serves as Co-Director of the Immunodiagnosis Laboratory at Stanford (since 2005) and has held several leadership positions including Director of Faculty Development and Diversity (2009-2018) and Director of Hematopathology (2009-2020). She actively participates in clinical trials related to lymphoma and leukemia treatments and teaches multiple pathology courses at Stanford. She maintains active involvement in numerous professional organizations, serving on editorial boards for major pathology journals and participating in expert panels including the Lymphoma Working Group of the Eastern Cooperative Oncology Group and the Society for Hematopathology.

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Stanislav Vithaمشاهده پروفایل

پژوهشگر

Texas A&M UniversityUnited States

Dr. Stanislav Vitha serves as a Research Scientist at the Microscopy and Imaging Center of Texas A&M University, a position he has held since August 2004. He manages advanced microscopy instrumentation critical to campus research operations. Education: Ph.D. in Cell and Molecular Biology (1995), University of South Bohemia, Czech Republic Graduate research at Institute of Plant Molecular Biology (Czech Academy of Sciences), DeMontfort University (Leicester, England), and University of Bonn (Germany) Postdoctoral research with Dr. Fred Sack at Ohio State University and Dr. Katherine Osteryoung at University of Nevada, Reno and Michigan State University Research Focus: Dr. Vitha specializes in chloroplast division mechanisms and advanced optical imaging methodologies. His technical expertise spans image restoration through deconvolution algorithms and quantitative image analysis for cellular structure characterization, bridging plant molecular biology with cutting-edge microscopy. Instrumentation Leadership: He oversees the center's comprehensive equipment suite including Zeiss Axiophot, Olympus FV1000 Confocal, Leica SP8 Confocal/FLIM/STED, Leica DM6B Upright Microscope, Tescan Vega SEM, and specialized sample preparation systems like Leica EM AFS2 High Pressure Freezer and Pelco Biowave Processor.

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Albert Güvenişمشاهده پروفایل

استاد

Bosphorus UniversityTurkey

Professor Albert Güveniş is a distinguished faculty member in the Department of Biomedical Engineering at Boğaziçi University's Faculty of Engineering. Holding a PhD from Drexel University, he previously served as an Assistant Professor at the University of Pennsylvania's Radiology Department specializing in Positron Emission Tomography. His current research focuses on high-efficacy biomedical system design and cancer theranostics through molecular imaging and radiomics. His primary research interests span Molecular Imaging , Radiomics , Cancer Theranostics , and Clinical Engineering , with emphasis on improving diagnostic/therapeutic systems for cancer and Alzheimer's disease. His group develops computational frameworks for tumor delineation, radiotherapy planning optimization, and early cancer detection using PET/CT and SPECT-CT technologies. His recent publications (2019-2023) demonstrate strong focus on radiomic biomarkers for cancer staging, treatment response prediction, and tumor characterization across multiple disease sites including lung, renal, and oropharyngeal cancers. The work integrates machine learning , Monte Carlo simulations , and statistical decision theory to solve clinical challenges in precision medicine. Research Fellowship from Drexel University BUVAK Publication Award for Class A publication Best Oral Presentation Award at Budapest conference (2017) ISO Innovation Award among 5,000+ projects Reviewer Appreciation Certificate (2019) Professor Güveniş actively mentors PhD and MSc students, with recent graduates including Ayşegül Oral and Alpaslan Koç. His research receives international collaboration support, particularly with US-based cancer research laboratories. He leads projects funded by major grants including 1/2 M USD from EU educational programs. His core team includes Didar Talat, Alpaslan Koc, and Niyazi Erturk, with frequent international researcher exchanges.

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John Wrightمشاهده پروفایل

دانشیار

University of Technology SydneyAustralia

John Wright is an Associate Professor at the Institute for Public Policy and Governance at the University of Technology Sydney (UTS), where he conducts research on political theory, public policy, regulation, and governance. His academic career spans multiple prestigious institutions including the London School of Economics and Political Science, London School of Hygiene and Tropical Medicine, and Australian National University. Wright's research focuses on political theory , public policy change , regulation and governance , and public health policy . His work examines critical issues such as the Australian Housing Crisis and British relations with the European Union, analyzing how policy regimes establish, consolidate, erode, and terminate meaning within policy objectives. He employs post-structuralist approaches to understand policy change as the transformation of meaning within discursive configurations. His recent publications reveal a strong focus on policy change analysis , particularly regarding European Union membership and Australian housing policy. The publications demonstrate interdisciplinary work spanning political science, health policy, regulatory studies, and economic evaluation. His research shows particular strength in analyzing how policy regimes function, how meaning is invested in policy objectives, and how these processes lead to policy continuity or change. Wright has secured research funding including the 2023 grant for Life Cycle Assessment of Hydrogen Storage Technologies for Circular and Sustainable Energy Systems . His scholarly impact is evident through numerous citations across his publications in political science, health policy, and regulatory studies. He actively engages with policy communities through external research impact activities related to the Australian Housing Crisis and British-EU relations.

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Bruce Eisensteinمشاهده پروفایل

استاد

Drexel UniversityUnited States

Bruce Eisenstein is the Arthur J. Rowland Professor of Electrical and Computer Engineering at Drexel University's College of Engineering. He has held significant administrative positions including Department Head of Electrical and Computer Engineering (1980-1995) and two terms as Associate Dean of the College of Engineering (1976-1980, 2004-2005). His academic credentials include: PhD in Electrical Engineering from University of Pennsylvania (1970) MSEE from Drexel University (1965) BSEE from Massachusetts Institute of Technology His research spans multiple domains including digital signal processing, pattern recognition, deconvolution techniques, biomedical applications, wireless communications, and engineering education. He has developed innovative methodologies in signal analysis and educational pedagogy, with particular focus on system identification and curriculum development. Publication analysis reveals three primary themes: 1) Advanced signal processing techniques (deconvolution, feature extraction), 2) Biomedical engineering applications (ECG analysis), and 3) Engineering education reforms (curriculum design, project-based learning). His recent works demonstrate increasing focus on educational leadership and professional standards. Awards and honors: C. Holmes MacDonald Award for Outstanding Young Electrical Engineering Educator (1976) Delaware Valley Engineer of the Year (2000) Professional leadership highlights: IEEE President (2000) and executive roles including Vice President for Technical Activities and Treasurer President of Eta Kappa Nu and National Electrical Engineering Department Head Association ABET program evaluator across multiple engineering disciplines General Chair of Frontiers in Education Conference (1984) He has held research positions at Stanford University, NASA-Ames Research Center, and Princeton University. While specific information about grants, laboratories, or supervised students isn't provided, his extensive administrative roles indicate significant organizational leadership.

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Stefan Kubicekمشاهده پروفایل

پژوهشگر

University of ViennaAustria

Stefan Kubicek is a Principal Investigator and Head of the Molecular Discovery Platform at CeMM (Center for Molecular Medicine of the Austrian Academy of Sciences). His research bridges Chemical Biology and Epigenetics , focusing on small molecules that alter cellular identity through chromatin pathways and nuclear metabolism. Previously, he led the Christian Doppler Laboratory for Chemical Epigenetics and Antiinfectives, a public-private partnership with Boehringer Ingelheim and Haplogen. MSc in Synthetic Organic Chemistry (Vienna University of Technology) PhD in Molecular Biology (Thomas Jenuwein Lab, IMP Vienna) Postdoc in Chemical Biology (Stuart Schreiber, Broad Institute) His work explores ATP-dependent chromatin remodeling in cancer and diabetes, developing chemical tools against epigenetic modifiers. Recent publications highlight nuclear metabolic targets , protein phase separation , and pancreatic cell transdifferentiation . Collaborations with pharmaceutical companies have yielded high-impact studies, including Nature Genetics (2019) on synthetic lethal cancer targets. Research Funding includes: ERC Proof of Concept Grant (ONCO-SPLICE, 2024-2026) FWF Stand-Alone Program (2024-2027) WWTF Life Sciences Grant (2022-2025) Breakthrough T1D Award (2024-2025) Lab members include Predoctoral Fellows (Sandra Goll, Andreas Reicher, Jamie Reilly, Jiri Reinis, Jonathan Shklarek), Postdoctoral Fellows (Tuan-Anh Nguyen), and technicians (Maria Ciobanu, Diana Daum). His team deploys high-throughput screening , genetic code expansion , and stochastic protein tagging to uncover nuclear metabolic-epigenetic connections.

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Habeck, Michaelمشاهده پروفایل

استاد

University of GöttingenGermany

Prof. Michael Habeck is a faculty member at the University of Göttingen, specializing in structural biology and computational methods. His research focuses on cryo-EM data analysis, molecular modeling, and integrating machine learning for biomedical applications. Advisor to 10+ PhD theses (2016–2023) Expertise in cryo-EM structure determination and validation Develops probabilistic models for dynamic proteins and change-point detection algorithms His work bridges structural biology with computational innovation, enabling high-resolution analysis of macromolecular complexes and advancing diagnostic tools via machine learning. Recent projects include CRISPR-edited cardiomyocyte models and super-resolution microscopy techniques. Key research areas span: Structural Biology: Cryo-EM, protein conformational changes Computational Methods: Bayesian modeling, tomography algorithms Machine Learning: Cardiac disease prediction, genomic data analysis

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Pierre-Antoine Thouveninمشاهده پروفایل

استادیار

University of LilleFrance

Pierre-Antoine Thouvenin is an Assistant Professor at Centrale Lille, a prestigious engineering school within the University of Lille community in France. He is a member of the SigMA team from the CRIStAL laboratory (Centre de Recherche en Informatique, Signal et Automatique de Lille), where he conducts research on inverse problems with applications to remote sensing and astronomy. His academic journey began with an Engineering degree in Electronics and Signal Processing from INP - ENSEEIHT Toulouse in 2014, followed by a Master of Science in "Signal, Image, Acoustics" from the same institution. He completed his Ph.D. in "Signal, Image, Acoustics" from Institut National Polytechnique de Toulouse between 2014 and 2017, with research focused on modeling spatial and temporal variabilities in hyperspectral image unmixing. Thouvenin's research interests span several interconnected areas in signal processing and computational imaging. His primary focus is on solving inverse problems, particularly in the context of radio-interferometric imaging for astronomy and hyperspectral image unmixing for remote sensing applications. He has made significant contributions to developing advanced algorithms for handling spectral variability in hyperspectral data and for image reconstruction in radio astronomy. His work often combines Bayesian statistical methods with optimization techniques to address challenging high-dimensional problems. A distinctive aspect of his research is the development of distributed and parallel computational methods that enable processing of extremely large datasets that would be intractable with conventional approaches. An analysis of his recent publications reveals a strong trend toward developing distributed and parallel computational methods for large-scale inverse problems. His work increasingly integrates machine learning approaches, particularly neural networks, with traditional signal processing techniques. There's a clear progression from theoretical developments in hyperspectral unmixing to practical applications in astronomy, particularly through his involvement in the ORION-B project where he applies statistical methods to infer physical conditions in star-forming regions. His most recent work demonstrates sophisticated integration of spatial regularization techniques with Bayesian inference for astrophysical parameter estimation. Prix Léopold Escande from Institut National Polytechnique de Toulouse (2017) - awarded to the best PhD theses defended at INPT Prix de l'Institut National Polytechnique de Toulouse (2014) - awarded for outstanding academic achievement during engineering studies Thouvenin is actively involved in mentoring the next generation of researchers. He currently co-supervises the PhD thesis of Pierre Palud on "Statistical methods for model inversion and spatial distribution of physico-chemical properties of the molecular cloud Orion B" as part of the CNRS 80|Prime project OrionStat. His research is supported through various academic collaborations and projects, including the ORION-B project led by Jérôme Pety, which involves molecular line observations from the IRAM-30m Large Program. He has established productive international collaborations, particularly with researchers at Heriot-Watt University in Edinburgh where he worked as a Research Associate from 2017-2019. Thouvenin is a key member of the SigMA team within the CRIStAL laboratory, a joint research unit between Centrale Lille, INRIA, and University of Lille. His work often intersects with the ORION-B project, where he collaborates with astrophysicists to develop statistical methods for inferring properties of Galactic and extra-galactic star forming regions. This interdisciplinary environment fosters innovation at the intersection of signal processing, statistics, and astronomy. He has developed expertise in translating complex statistical methodologies into practical computational tools that address real-world challenges in both remote sensing and astronomical imaging.

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Abolfazl M. Aminiمشاهده پروفایل

استاد

Southern University and A&M CollegeUnited States

Dr. Abolfazl M. Amini serves as a Full Professor in the Electrical and Computer Engineering Department at Southern University's College of Engineering, where he joined the faculty in 1994 after completing a National Research Council Postdoctoral Fellowship at NASA's Stennis Space Center. Promoted to full professor in 2004, his career spans over three decades of pioneering research in advanced signal processing methodologies. His educational foundation includes a Ph.D. from Tulane University (1993), Master's degree from the University of New Orleans (1986), and Bachelor of Science from Southern University (1984). Dr. Amini's research expertise centers on deconvolution techniques, where he developed groundbreaking approaches including Monte Carlo Deconvolution using blurred signals as probability distribution functions for precise image reconstruction, and noise-adaptive Iterative Deconvolution methods that optimize convergence speed while minimizing noise amplification. His work extends to constrained spectral deconvolution for modal peak analysis, interference-avoiding waveform design, and sensor health management modeling using Fourier, Short-Time Fourier, and Wavelet Transforms. Among his distinguished recognitions, the National Research Council Postdoctoral Fellowship enabled his foundational research at NASA Stennis Space Center. Dr. Amini has secured continuous NASA funding since 1993, leading numerous projects that advance sensor technology and system health management through innovative signal processing frameworks. His research bridges theoretical advances in vibrational energy modeling using Feynman Path Integral methods with practical applications in aerospace and engineering systems.

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Pieter Sijtsmaمشاهده پروفایل

استاد

Delft University of TechnologyNetherlands

Pieter Sijtsma serves as a Professor in the Department of Operations & Environment within Delft University of Technology's Faculty of Aerospace Engineering. His academic career spans over 15 years of specialized research in aeroacoustics, with significant contributions to microphone array technology and noise measurement methodologies. Current affiliations include active roles in the Berlin Beamforming Conference Committee and ongoing collaborations with major aerospace research entities. Professor Sijtsma's research focuses on advanced acoustic measurement techniques for aerospace applications. His work centers on beamforming algorithms , engine noise characterization , and wave propagation modeling in complex environments like wind tunnels and annular ducts. Key specialties include CLEAN-SC deconvolution methods for noise source mapping, directivity pattern analysis, and experimental validation of acoustic assessment techniques. His fingerprint reveals dominant expertise in acoustics (100%), noise measurement (97%), and microphone array technology (68%). Recent publication trends show concentrated activity in improving acoustic field assessment (2025), engine noise directivity determination (2024), and beamforming in swirling flows (2023). His work consistently addresses practical aerospace noise challenges through rigorous experimental validation and mathematical modeling, with strong emphasis on measurement accuracy and algorithmic innovation. Professor Sijtsma actively supervises research through collaborative projects, typically co-mentoring students with colleagues like Snellen and Avallone. His group maintains strong industry connections, evidenced by committee roles with the Ministry of Infrastructure and Environment and participation in international standard-setting conferences. Current projects involve EU-funded research on wind tunnel acoustic correction methods and engine noise source characterization. The research infrastructure leverages TU Delft's advanced wind tunnel facilities with specialized acoustic treatment and high-channel-count microphone arrays. Recent dataset releases confirm access to sophisticated wave propagation modeling tools and experimental validation platforms for closed-test-section environments.

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Jacques-Donald Tournierمشاهده پروفایل

دانشیار

King’s College LondonUnited Kingdom

Dr. Jacques-Donald Tournier serves as Reader in Biomedical Engineering at King's College London's Centre for the Developing Brain, where he leads research in advanced diffusion MRI methodologies. His work spans the Department of Biomedical Engineering and Department of Perinatal Imaging and Health at St Thomas' Hospital, focusing on white matter connectivity characterization and neonatal brain imaging through the Developing Human Connectome Project. His educational background includes: PhD in Diffusion Tensor MRI, UCL Institute of Child Health (2003) MSc in Trabecular Bone Architecture Analysis, University of Cambridge (1999) BA, University of Cambridge (1998) Research interests center on computational neuroimaging innovation, with seminal contributions to spherical deconvolution, probabilistic tractography (Track Density Imaging, Anatomically Constrained Tractography), and fixel-based analysis. Current work prioritizes neonatal diffusion MRI optimization and multi-shell HARDI data analysis, driving advancements in both methodological rigor and clinical translation for neurosurgical applications. His research bridges engineering, neuroscience, and clinical medicine through the MRtrix3 open-source platform. Scientific recognition includes: Editor's Choice Award (2014) President's Awards (2009, 2013) Discovery Outstanding Researcher Award (2013) Outstanding Teacher Award (2006) Dr. Tournier currently supervises postgraduate research within active grant frameworks, including the EPSRC-funded MRtrix project (2023-2026) and MRC neurodevelopment studies in congenital heart disease (2021-2026). His mentorship emphasizes methodological innovation and clinical translation, with students contributing to high-impact publications in neuroimaging. The Centre for the Developing Brain provides a collaborative environment integrating software development, clinical research, and large-scale connectome projects, supported by substantial infrastructure from the Wellcome/EPSRC Centre for Medical Engineering.

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Pietro Scaturroمشاهده پروفایل

استاد

University Medical Center Hamburg-EppendorfGermany

Dr. Pietro Scaturro serves as Principal Investigator for Associated Project AP03 within the DFG-funded Collaborative Research Centre 1648 at University of Hamburg, while leading the Systems Arbovirology research group at Leibniz Institute of Virology (LIV). His work bridges fundamental virology and translational drug development through systems-level analysis of orthoflavivirus-host interactions. Research focuses on identifying conserved cellular targets across Dengue, Japanese-encephalitis, and West-Nile viruses using integrated proteomics, transcriptomics, and interactomics approaches. The lab's methodology centers on CRISPR-based host factor validation and high-throughput antiviral screening, with emphasis on discovering "Achilles' heels" applicable to multiple emerging arboviruses. This work addresses critical gaps in outbreak preparedness where pathogen-specific vaccines are impractical. Funding through CRC1648 supports three synergistic work packages: WP1 employs quantitative proteomics to map virus-host protein networks; WP2 validates targets via phenotypic screening across diverse orthoflaviviruses; WP3 repurposes existing compounds targeting identified host pathways. The lab maintains BSL-3 capabilities for handling pathogenic flaviviruses and collaborates extensively within CRC1648's virology-immunology network. The Systems Arbovirology group operates at LIV's Hamburg campus, utilizing advanced imaging, next-generation sequencing, and high-content screening platforms. Current research prioritizes target deconvolution for pan-flaviviral inhibitors, with emphasis on host factors conserved across viral strains to circumvent rapid viral mutation. The lab actively contributes to DFG's arbovirus research consortium and maintains partnerships with tropical disease centers in endemic regions.

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